SlideShare une entreprise Scribd logo
1  sur  38
Do Working Memory Spans
  Depend only on Time?



       Valérie Camos
      Pierre Barrouillet
     Université de Bourgogne
         LEAD - CNRS
Working Memory Span Tasks


They involve:

• Maintenance: items to be maintained and recalled

• Processing: some task, usually complex, such as reading
comprehension or problem solving
Working Memory Span Tasks

(6/3)+5=7?                          Operation span
                                (Turner & Engle, 1989)
        Truck

             (3+6)/3=2?

                     Deer

                          (8-6)x3=6?

                                   Nail

                                          Recall
Time-Based Resource-Sharing Model
                       The main proposals
                   Barrouillet, Bernardin, & Camos, JEP:G, 2004


1. Processing and maintenance require attention which is a limited resource (some
sharing is needed)

2. As soon as attention is switched away from the memory items, their activation
suffers from a time-related decay

3. Refreshing the decaying memory traces necessitates their retrieval through
attentional focusing (as proposed by Cowan, 1999)

4. When processing component requires retrievals from LTM, it should have the
most detrimental effect on concurrent maintenance

5. In this case, sharing attention is time based because a central bottleneck allows
only one retrieval at a time
Time-Based Resource-Sharing Model


             Rapid switching




Processing                     Maintenance
Switching mechanism and decay
        Possible reactivation
         of memory traces                                 CL

Truck      R           R        R       R   Deer



                                                          CL

Truck     R                R        R       R      Deer



                                                          CL

Truck     R       R        R    R   Deer
Cognitive Load is



                 Duration of attentional capture
     CL =
                            Total time allowed



The proportion of time during which a given activity captures attention
  in such a way that the refreshment of memory traces is impeded.
A metric for Cognitive Load
       In tasks involving retrievals from LTM


The number of retrievals n
Their difficulty a
       (the time they occupy central processes)
The total time allowed to perform them T




                                 aN
           CL =
                                   T
Cognitive Load
as defined by the Time-Based Resource-Sharing model
                     depends on


      rate of processing rather than complexity

      duration of the atomic steps of processing

      nature of the processes involved
Cognitive Load
as defined by the Time-Based Resource-Sharing model
                     depends on


      rate of processing rather than complexity

      duration of the atomic steps of processing

      nature of the processes involved
Rate of Processing
     Manipulating the Number of Retrievals / Time ratio

               The Reading Digit Span Task

R8
     31             Read aloud the successive screens
        64                and recall the letters
           K7
              25
                 49
                    L3
                         68
                              24
Rate of Processing
 Manipulating the Number of Retrievals / Time ratio

Either 6 or 10 digits to be read
           Constant duration of the interletter intervals (6 s)

       4,5

         4

       3,5

         3

       2,5

         2

       1,5

         1

       0,5

         0
                6 Digits         10 Digits
Rate of Processing
Manipulating the Number of Retrievals / Time ratio

Fixed number of digits to be read
                         Either 600 or 1000 ms per digit

        5

      4,5

        4

      3,5

        3

      2,5

        2

      1,5

        1

      0,5

        0
                Slow            Fast
               1000 ms         600 ms
Rate of Processing
Manipulating the Number of Retrievals / Time ratio

                      Varying
           the number of digits to be read
          and the time allowed to read them


   • Either 4, 8, or 12 digits during 6, 8, or 10 seconds

   • 9 different values of the critical ratio (from 0.4 to 2)
Rate of Processing

              6


            5,5


              5


            4,5


              4
Mean Span




            3,5


              3


            2,5
                                  R2 = .932
              2


            1,5


              1
                  0      0,5       1         1,5       2   2,5

                       Number of retrievals / Time ratio

                                   Barrouillet, Bernardin, & Camos, JEP:G, 2004
Rate of processing rather than complexity
          Lépine, Bernardin, & Barrouillet, EJCP, 2005




In undergraduate students who remembered series of digits:

  • Traditional Reading Span (self paced)

  • Reading Letter Span (slow: 1200 ms per letter)

  • Reading Letter Span (fast: 600 ms per letter)
Rate of processing rather than complexity
                            Lépine, Bernardin, & Barrouillet, EJCP, 2005




                          4,5


                            4


                          3,5
                WM span




                            3


                          2,5


                            2


                          1,5


                            1
                                RS self-paced   RLS slow    RLS fast



Reading letters can have the same detrimental effect on spans as reading complex sentences !
Cognitive Load
as defined by the Time-Based Resource-Sharing model
                     depends on


      rate of processing rather than complexity

      duration of the atomic steps of processing

      nature of the processes involved
Duration of the atomic steps of processing
                 Slower retrievals



   Central processes occupied for a longer period



                    Higher CL



                 LOWER SPANS
Duration of the atomic steps of processing
             A reading digit span with digits presented …


              4               Four               IV
           442 ms             446 ms            625 ms




Reading digit spans should be lower when digits are presented in roman

Reading numbers (1 to 9) while maintaining letters
1 digit per second
Duration of the atomic steps of processing


               4,5



                4

                                             *
     WM span




               3,5



                3



               2,5



                2
                     4        Four           IV



 Slower retrievals occupy central processes for longer periods
               and involve higher cognitive load.
Cognitive Load
as defined by the Time-Based Resource-Sharing model
                     depends on


      rate of processing rather than complexity

      duration of the atomic steps of processing

      nature of the processes involved
Nature of the processes involved
                Bernardin, Portrat, & Barrouillet, in press

                      Two different groups are presented with the same display
     G     8                      but perform different activities:

                  5


                         6
                                                         Location
            Parity               1      2         “ Up, up, down, down”
  “ Even, odd, even, odd …”

Retrievals from LTM required
                                              3
    Lower spans predicted
                                                    P
Nature of the processes involved
                   Bernardin, Portrat, & Barrouillet, in press



           4,5

            4

           3,5
                                             *
            3
 WM span




           2,5

            2

           1,5

            1

           0,5

            0

                     Location              Parity

Retrievals from LTM more demanding than location judgments
Nature of the processes or time ???


   Parity judgments involve lower spans but …

they probably take also longer !
Nature or duration of the processes involved?


WM spans as a function of the actual processing time within the interletter interval


                     4               7                             2
     T                                             9                         K
         Stimulus onset   Response

Parity               RT



                    Actual Processing Time = Σ RT
Location
Nature or duration of the processes involved?


 Series of ascending length of 1 to 7 letters to be remembered (3 series of
each length)

 Interletter intervals 6400 ms

 Either 4, 6, or 8 stimuli to be processed in each interval

 Responses by pressing keys

 2 Tasks x 3 Rates = 6 groups of 16 adults
Spans as a function of the number of stimuli
         and the nature of the task
                   6

                                        Location
                  5.5


                   5


                  4.5
      Mean span




                   4


                  3.5


                   3


                  2.5


                   2

                        4          6               8
                            Number of stimuli
Spans as a function of the number of stimuli
         and the nature of the task
                   6

                                        Location
                  5.5

                                                Parity
                   5


                  4.5
      Mean span




                   4


                  3.5


                   3


                  2.5


                   2

                        4          6               8
                            Number of stimuli
Actual duration of processing as a function of
       the task and number of stimuli
                                        4



                                       3.5



                                        3
       Actual duration of processing




                                             Location
                                       2.5



                                        2



                                       1.5



                                        1



                                       0.5



                                        0

                                                 4             6            8
                                                        Number of stimuli
Actual duration of processing as a function of
       the task and number of stimuli
                                        4

                                                                            Parity
                                       3.5



                                        3
       Actual duration of processing




                                             Location
                                       2.5



                                        2



                                       1.5



                                        1



                                       0.5



                                        0

                                                 4             6                     8
                                                        Number of stimuli
Nature or duration of the processes involved?

                  6.5




                   6
                              Observed location spans

                  5.5
      Mean Span




                   5




                  4.5




                   4




                  3.5




                   3
                    1.5      2           2.5            3   3.5      4

                          Actual Interletter Processing Time (sec)
Nature or duration of the processes involved?

                  6.5




                   6




                  5.5
      Mean Span




                   5




                  4.5




                   4




                  3.5




                   3
                    1.5      2         2.5        3         3.5      4

                          Actual Interletter Processing Time (sec)
Nature or duration of the processes involved?

                  6.5




                   6


                                         Predicted span values for a
                  5.5                   location task thatobserved
                                            Parity spans would take
                                                    longer
      Mean Span




                   5




                  4.5




                   4




                  3.5




                   3
                    1.5      2         2.5        3         3.5        4

                          Actual Interletter Processing Time (sec)
Nature or duration of the processes involved?

                  6.5




                   6
                          Mean location span
                                5.23
                  5.5

                                               Mean parity span observed
      Mean Span




                   5
                                                         4.48


                  4.5
                          Mean span predicted
                                 4.34
                   4




                  3.5




                   3
                    1.5        2         2.5         3        3.5          4

                            Actual Interletter Processing Time (sec)
Nature or duration of the processes involved?

                  6.5




                   6
                           Mean location span
                                 5.23
                  5.5

                                               Mean parity span observed
      Mean Span




                   5
                                                         4.48


                  4.5
                          Mean span predicted
                                 4.34
                   4




                  3.5




                   3
                    1.5         2        2.5         3        3.5      4

                            Actual Interletter Processing Time (sec)
Tasks have no effect on spans beyond their duration




Do working memory spans depend only on time?

Working memory spans depend on the time
 during which the processing component
           captures attention
Thanks to




                    Sophie Bernardin
                    Raphaëlle Lépine
                    Nathalie Gavens
                     Sophie Portrat

            LEAD - CNRS Université de Bourgogne

Contenu connexe

Similaire à Do Working Memory Spans Depend only on Time

DocValues aka. Column Stride Fields in Lucene 4.0 - By Willnauer Simon
DocValues aka. Column Stride Fields in Lucene 4.0 - By Willnauer SimonDocValues aka. Column Stride Fields in Lucene 4.0 - By Willnauer Simon
DocValues aka. Column Stride Fields in Lucene 4.0 - By Willnauer Simonlucenerevolution
 
Column Stride Fields aka. DocValues
Column Stride Fields aka. DocValues Column Stride Fields aka. DocValues
Column Stride Fields aka. DocValues Lucidworks (Archived)
 
Consistency Models in New Generation Databases
Consistency Models in New Generation DatabasesConsistency Models in New Generation Databases
Consistency Models in New Generation Databasesiammutex
 
Consistency-New-Generation-Databases
Consistency-New-Generation-DatabasesConsistency-New-Generation-Databases
Consistency-New-Generation-DatabasesRoger Xia
 
Thoughts on Transaction and Consistency Models
Thoughts on Transaction and Consistency ModelsThoughts on Transaction and Consistency Models
Thoughts on Transaction and Consistency Modelsiammutex
 
Ch 2 Names scopes and bindings.pptx
Ch 2 Names scopes and bindings.pptxCh 2 Names scopes and bindings.pptx
Ch 2 Names scopes and bindings.pptxRanjanaShevkar
 
Realtime olap architecture in apache kylin 3.0
Realtime olap architecture in apache kylin 3.0Realtime olap architecture in apache kylin 3.0
Realtime olap architecture in apache kylin 3.0Shi Shao Feng
 

Similaire à Do Working Memory Spans Depend only on Time (8)

DocValues aka. Column Stride Fields in Lucene 4.0 - By Willnauer Simon
DocValues aka. Column Stride Fields in Lucene 4.0 - By Willnauer SimonDocValues aka. Column Stride Fields in Lucene 4.0 - By Willnauer Simon
DocValues aka. Column Stride Fields in Lucene 4.0 - By Willnauer Simon
 
Column Stride Fields aka. DocValues
Column Stride Fields aka. DocValuesColumn Stride Fields aka. DocValues
Column Stride Fields aka. DocValues
 
Column Stride Fields aka. DocValues
Column Stride Fields aka. DocValues Column Stride Fields aka. DocValues
Column Stride Fields aka. DocValues
 
Consistency Models in New Generation Databases
Consistency Models in New Generation DatabasesConsistency Models in New Generation Databases
Consistency Models in New Generation Databases
 
Consistency-New-Generation-Databases
Consistency-New-Generation-DatabasesConsistency-New-Generation-Databases
Consistency-New-Generation-Databases
 
Thoughts on Transaction and Consistency Models
Thoughts on Transaction and Consistency ModelsThoughts on Transaction and Consistency Models
Thoughts on Transaction and Consistency Models
 
Ch 2 Names scopes and bindings.pptx
Ch 2 Names scopes and bindings.pptxCh 2 Names scopes and bindings.pptx
Ch 2 Names scopes and bindings.pptx
 
Realtime olap architecture in apache kylin 3.0
Realtime olap architecture in apache kylin 3.0Realtime olap architecture in apache kylin 3.0
Realtime olap architecture in apache kylin 3.0
 

Plus de Isabault

Ppt labmeeting
Ppt labmeetingPpt labmeeting
Ppt labmeetingIsabault
 
Ppt labmeeting
Ppt labmeetingPpt labmeeting
Ppt labmeetingIsabault
 
Ppt labmeeting
Ppt labmeetingPpt labmeeting
Ppt labmeetingIsabault
 
Labmeeting 20.12.2011evie
Labmeeting 20.12.2011evieLabmeeting 20.12.2011evie
Labmeeting 20.12.2011evieIsabault
 
Labmeeting 20.12.2011evie
Labmeeting 20.12.2011evieLabmeeting 20.12.2011evie
Labmeeting 20.12.2011evieIsabault
 
Ppt labmeeting
Ppt labmeetingPpt labmeeting
Ppt labmeetingIsabault
 
2 echa 2004
2 echa 20042 echa 2004
2 echa 2004Isabault
 

Plus de Isabault (7)

Ppt labmeeting
Ppt labmeetingPpt labmeeting
Ppt labmeeting
 
Ppt labmeeting
Ppt labmeetingPpt labmeeting
Ppt labmeeting
 
Ppt labmeeting
Ppt labmeetingPpt labmeeting
Ppt labmeeting
 
Labmeeting 20.12.2011evie
Labmeeting 20.12.2011evieLabmeeting 20.12.2011evie
Labmeeting 20.12.2011evie
 
Labmeeting 20.12.2011evie
Labmeeting 20.12.2011evieLabmeeting 20.12.2011evie
Labmeeting 20.12.2011evie
 
Ppt labmeeting
Ppt labmeetingPpt labmeeting
Ppt labmeeting
 
2 echa 2004
2 echa 20042 echa 2004
2 echa 2004
 

Dernier

Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 

Dernier (20)

Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 

Do Working Memory Spans Depend only on Time

  • 1. Do Working Memory Spans Depend only on Time? Valérie Camos Pierre Barrouillet Université de Bourgogne LEAD - CNRS
  • 2. Working Memory Span Tasks They involve: • Maintenance: items to be maintained and recalled • Processing: some task, usually complex, such as reading comprehension or problem solving
  • 3. Working Memory Span Tasks (6/3)+5=7? Operation span (Turner & Engle, 1989) Truck (3+6)/3=2? Deer (8-6)x3=6? Nail Recall
  • 4. Time-Based Resource-Sharing Model The main proposals Barrouillet, Bernardin, & Camos, JEP:G, 2004 1. Processing and maintenance require attention which is a limited resource (some sharing is needed) 2. As soon as attention is switched away from the memory items, their activation suffers from a time-related decay 3. Refreshing the decaying memory traces necessitates their retrieval through attentional focusing (as proposed by Cowan, 1999) 4. When processing component requires retrievals from LTM, it should have the most detrimental effect on concurrent maintenance 5. In this case, sharing attention is time based because a central bottleneck allows only one retrieval at a time
  • 5. Time-Based Resource-Sharing Model Rapid switching Processing Maintenance
  • 6. Switching mechanism and decay Possible reactivation of memory traces CL Truck R R R R Deer CL Truck R R R R Deer CL Truck R R R R Deer
  • 7. Cognitive Load is Duration of attentional capture CL = Total time allowed The proportion of time during which a given activity captures attention in such a way that the refreshment of memory traces is impeded.
  • 8. A metric for Cognitive Load In tasks involving retrievals from LTM The number of retrievals n Their difficulty a (the time they occupy central processes) The total time allowed to perform them T aN CL = T
  • 9. Cognitive Load as defined by the Time-Based Resource-Sharing model depends on  rate of processing rather than complexity  duration of the atomic steps of processing  nature of the processes involved
  • 10. Cognitive Load as defined by the Time-Based Resource-Sharing model depends on  rate of processing rather than complexity  duration of the atomic steps of processing  nature of the processes involved
  • 11. Rate of Processing Manipulating the Number of Retrievals / Time ratio The Reading Digit Span Task R8 31 Read aloud the successive screens 64 and recall the letters K7 25 49 L3 68 24
  • 12. Rate of Processing Manipulating the Number of Retrievals / Time ratio Either 6 or 10 digits to be read Constant duration of the interletter intervals (6 s) 4,5 4 3,5 3 2,5 2 1,5 1 0,5 0 6 Digits 10 Digits
  • 13. Rate of Processing Manipulating the Number of Retrievals / Time ratio Fixed number of digits to be read Either 600 or 1000 ms per digit 5 4,5 4 3,5 3 2,5 2 1,5 1 0,5 0 Slow Fast 1000 ms 600 ms
  • 14. Rate of Processing Manipulating the Number of Retrievals / Time ratio Varying the number of digits to be read and the time allowed to read them • Either 4, 8, or 12 digits during 6, 8, or 10 seconds • 9 different values of the critical ratio (from 0.4 to 2)
  • 15. Rate of Processing 6 5,5 5 4,5 4 Mean Span 3,5 3 2,5 R2 = .932 2 1,5 1 0 0,5 1 1,5 2 2,5 Number of retrievals / Time ratio Barrouillet, Bernardin, & Camos, JEP:G, 2004
  • 16. Rate of processing rather than complexity Lépine, Bernardin, & Barrouillet, EJCP, 2005 In undergraduate students who remembered series of digits: • Traditional Reading Span (self paced) • Reading Letter Span (slow: 1200 ms per letter) • Reading Letter Span (fast: 600 ms per letter)
  • 17. Rate of processing rather than complexity Lépine, Bernardin, & Barrouillet, EJCP, 2005 4,5 4 3,5 WM span 3 2,5 2 1,5 1 RS self-paced RLS slow RLS fast Reading letters can have the same detrimental effect on spans as reading complex sentences !
  • 18. Cognitive Load as defined by the Time-Based Resource-Sharing model depends on  rate of processing rather than complexity  duration of the atomic steps of processing  nature of the processes involved
  • 19. Duration of the atomic steps of processing Slower retrievals Central processes occupied for a longer period Higher CL LOWER SPANS
  • 20. Duration of the atomic steps of processing A reading digit span with digits presented … 4 Four IV 442 ms 446 ms 625 ms Reading digit spans should be lower when digits are presented in roman Reading numbers (1 to 9) while maintaining letters 1 digit per second
  • 21. Duration of the atomic steps of processing 4,5 4 * WM span 3,5 3 2,5 2 4 Four IV Slower retrievals occupy central processes for longer periods and involve higher cognitive load.
  • 22. Cognitive Load as defined by the Time-Based Resource-Sharing model depends on  rate of processing rather than complexity  duration of the atomic steps of processing  nature of the processes involved
  • 23. Nature of the processes involved Bernardin, Portrat, & Barrouillet, in press Two different groups are presented with the same display G 8 but perform different activities: 5 6 Location Parity 1 2 “ Up, up, down, down” “ Even, odd, even, odd …” Retrievals from LTM required 3 Lower spans predicted P
  • 24. Nature of the processes involved Bernardin, Portrat, & Barrouillet, in press 4,5 4 3,5 * 3 WM span 2,5 2 1,5 1 0,5 0 Location Parity Retrievals from LTM more demanding than location judgments
  • 25. Nature of the processes or time ??? Parity judgments involve lower spans but … they probably take also longer !
  • 26. Nature or duration of the processes involved? WM spans as a function of the actual processing time within the interletter interval 4 7 2 T 9 K Stimulus onset Response Parity RT Actual Processing Time = Σ RT Location
  • 27. Nature or duration of the processes involved?  Series of ascending length of 1 to 7 letters to be remembered (3 series of each length)  Interletter intervals 6400 ms  Either 4, 6, or 8 stimuli to be processed in each interval  Responses by pressing keys  2 Tasks x 3 Rates = 6 groups of 16 adults
  • 28. Spans as a function of the number of stimuli and the nature of the task 6 Location 5.5 5 4.5 Mean span 4 3.5 3 2.5 2 4 6 8 Number of stimuli
  • 29. Spans as a function of the number of stimuli and the nature of the task 6 Location 5.5 Parity 5 4.5 Mean span 4 3.5 3 2.5 2 4 6 8 Number of stimuli
  • 30. Actual duration of processing as a function of the task and number of stimuli 4 3.5 3 Actual duration of processing Location 2.5 2 1.5 1 0.5 0 4 6 8 Number of stimuli
  • 31. Actual duration of processing as a function of the task and number of stimuli 4 Parity 3.5 3 Actual duration of processing Location 2.5 2 1.5 1 0.5 0 4 6 8 Number of stimuli
  • 32. Nature or duration of the processes involved? 6.5 6 Observed location spans 5.5 Mean Span 5 4.5 4 3.5 3 1.5 2 2.5 3 3.5 4 Actual Interletter Processing Time (sec)
  • 33. Nature or duration of the processes involved? 6.5 6 5.5 Mean Span 5 4.5 4 3.5 3 1.5 2 2.5 3 3.5 4 Actual Interletter Processing Time (sec)
  • 34. Nature or duration of the processes involved? 6.5 6 Predicted span values for a 5.5 location task thatobserved Parity spans would take longer Mean Span 5 4.5 4 3.5 3 1.5 2 2.5 3 3.5 4 Actual Interletter Processing Time (sec)
  • 35. Nature or duration of the processes involved? 6.5 6 Mean location span 5.23 5.5 Mean parity span observed Mean Span 5 4.48 4.5 Mean span predicted 4.34 4 3.5 3 1.5 2 2.5 3 3.5 4 Actual Interletter Processing Time (sec)
  • 36. Nature or duration of the processes involved? 6.5 6 Mean location span 5.23 5.5 Mean parity span observed Mean Span 5 4.48 4.5 Mean span predicted 4.34 4 3.5 3 1.5 2 2.5 3 3.5 4 Actual Interletter Processing Time (sec)
  • 37. Tasks have no effect on spans beyond their duration Do working memory spans depend only on time? Working memory spans depend on the time during which the processing component captures attention
  • 38. Thanks to Sophie Bernardin Raphaëlle Lépine Nathalie Gavens Sophie Portrat LEAD - CNRS Université de Bourgogne

Notes de l'éditeur

  1. WM is a system devoted to the maintenance of relevant information during processing Thus WM span tasks usually involve these two activities  with some memory items to be maintained  while a concurrent processing must be performed
  2. For example, in the well known Operation span, participants are asked to solve arithmetic equations while maintaining words to be recalled at the end of the series.
  3. We recently proposed a model accounting for the cognitive processes involved in WM span tasks, the TBRS model. In its initial version, the TBRS model was based on five main proposals 
  4. Within this model, the main point is probably that resource sharing is achieved through a rapid switching between processing and maintenance that occurs during the processing component of the task.
  5. We assume that the constraints on the switching process determines cognitive load.  Suppose that your are performing a WM span task, and that you are successively presented with these two words. Unfortunately, you have to perform some intervening task during the interval.  This task involves for example successive memory retrievals, during which the memory traces of the words decay,  but you can keep free short slots to retrieve and refresh these traces.  Let us suppose that this activity involves a moderate cognitive load.  Now, if you are given more time to perform the same task,  you have longer periods of time to reactivate memory traces.  The WM task becomes easier  because cognitive load decreases  On the other hand, if the time is reduced,  it becomes difficult to concurrently refresh memory traces.  Cognitive load increases  and WM span should decrease.
  6. In this account, CL depends on the number and difficulty of retrievals because retrievals block attention for a portion of time.  In other words CL is given by this equation  the proportion of time during which attention is captured. 
  7. According to this analysis, the CL of the task we presented above depends on three parameters:  the number of retrievals it requires,  their difficulty, (some retrievals need more time than others),  and the time allowed to perform them  CL is given by the following equation, CL depends here on the Number of retrievals / Time ratio .
  8. CL, and as a consequence WM spans, would thus depend on three main parameters  Rate of processing rather than complexity of the processing component  (lire) with long durations resulting in higher CL and lower spans  (lire) Because we initially assumed that retrievals are more damaging than other activities
  9. Let us recall what happens when the rate of processing is manipulated
  10. We tested the hypothesis that CL is a matter of rate of processing  using a very simple task, the reading digit span task  letters to be remembered and digits to be read are successively presented on screen  And subjects are asked to read them aloud and to recall the letters.
  11. First we manipulated the number of retrievals while keeping time constant  so, we presented either 6 or 10 digits  Within constant interletter intervals of 6 s  As we predicted, increasing the number of digits to be read had a detrimental effect on span
  12. Then we manipulated the time allowed to perform an unchanged task  We presented a constant number of digits  That were presented either 600 or thousand ms  Once more, there was a clear effect of pace. The faster the pace, the lower the span.
  13.  We verified the predictive value of the equation in a study in which we varied both the number of digits to be read and the time allowed to read them.  (lire)  (lire)
  14.  As we predicted, WM spans smoothly decreased as the CL of the reading digit task increased.  and the regression line  Nicely fitted these points
  15. Our theory predicts that very simple tasks can have a highly detrimental effect on spans because complexity does not matter. What is important is pace. Actually, our experiments support this prediction.  We compared three tasks in which undergraduate students had to recall digits:  in the traditional RS, adults were asked to read and understand sentences  Whereas in the reading letter span task, they were just asked to read successive letters presented at a slow  Or fast pace And the reading digit span in which adults have just to read digits, a very simple activity.
  16.  The mean reading span was about 3  Not surprisingly, the reading letter span was higher and above 4  But when performed at a fast pace, the task became as difficult as the reading span task  (lire)
  17. Now the second point concerning the duration of processing steps
  18. If our analysis is correct, the time a given activity blocks the central processes has a direct impact on the CL. For example  slower retrievals  occupy the central processes for longer periods of time,  Thus involve a higher CL  and then lower spans.
  19.  We compared three conditions of a reading digit span task in which numbers were presented either in their  Arabic  Verbal or  Roman form. The corresponding Reading times are …    wit the roman form that takes longer   Thus we predicted lower spans when numbers are presented in their Roman form.  Participants had to read numbers while maintaining letters  At a rate of 1 digit per s.
  20. As predicted by the reading times  there was no big difference between spans when digits were presented in Arabic  or Verbal form.  but, the roman presentation, which takes longer to read resulted in lower spans.   As predicted by the Time-based resource sharing model …  (lire)
  21. Our last point concerns the impact of nature of the processes
  22. Remember that we predicted that among attention-demanding activities, the retrievals should have the most detrimental effect because retrievals are also needed to refresh decaying memory traces in STM. We designed a task …  in which participants had to maintain letters and process numbers but  in two different ways  One group had to judge the parity of the number  Whereas the other was just asked to judge their location on screen  Our prediction was, all other thinks being equal, that the parity task would result in lower spans than the location task.
  23.  As we expected, an activity that requires retrievals from LTM is more disruptive than an activity that just requires response selection.  Retrievals seem to be more demanding
  24. But, what is the locus of the effect, the nature of the task or its duration
  25. What is needed is a careful control of the actual processing time  For example, using the same task  We could measure the time taken to evaluate the parity of each number  Or its location  The actual processing time is the sum of these RTs
  26. Thus we designed an experiment in which adults were asked to  Maintain series of letters  With interletter intervals of 6400 ms  During which were presented either 4, 6, or 8 numbers for a parity or a location task  The responses were given by pressing keys  And we used 6 independent groups
  27. As we already knew, the spans decreased when the number of stimuli increased
  28. And the parity task resulted in lower spans
  29. Concerning the actual duration of processing, of course it increased with the number of stimuli to process
  30. Concerning the actual duration of processing, of course it increased with the number of stimuli to process
  31. To answer the question, we have to analyse spans as a function of time.  These are the actual processing times for the location span task  And the resulting spans observed Would these spans differ from the parity spans if the two tasks involved the same durations?  Remember that the parity judgments took longer
  32. To answer the question, we have to analyse spans as a function of time.  These are the actual processing times for the location span task  And the resulting spans observed Would these spans differ from the parity spans if the two tasks involved the same durations?  Remember that the parity judgments took longer
  33. To answer the question, we have to analyse spans as a function of time.  These are the actual processing times for the location span task  And the resulting spans observed Would these spans differ from the parity spans if the two tasks involved the same durations?  Remember that the parity judgments took longer
  34. To answer the question, we have to analyse spans as a function of time.  These are the actual processing times for the location span task  And the resulting spans observed Would these spans differ from the parity spans if the two tasks involved the same durations?  Remember that the parity judgments took longer
  35. To answer the question, we have to analyse spans as a function of time.  These are the actual processing times for the location span task  And the resulting spans observed Would these spans differ from the parity spans if the two tasks involved the same durations?  Remember that the parity judgments took longer
  36. Thus there is no difference between tasks when durations were equated.  Our question was  And the answer is