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The Role of Motivational
                                        and Affective Aspects:
                                             Empirical Results
                                         and Future Directions

                                                   Christine Kunzmann
                                                     Andreas Schmidt
Professional Training Facts 2011




                                                FZI Research Center for
                                   Information Technologies, Karlsruhe
Motivation is key for knowledge work


“Knowledge workers are those people who
have taken responsibility for their work lives.
They continually strive to understand the
world around them and modify their work
practices and behaviors to better meet their
personal and organizational objectives. No
one tells them what to do. They do not take
No for an answer. They are self motivated.”
                               David Gurteen
                                                  2
                                                      2
Emotions and affective aspects, too.


Anxiety
                              Joy

           Stress

                      Frustration
                                       3
                                           3
But so far, the perspective has been limited




e.g., incentive systems




                                               4
                                                    4
And what about emotions…




                     … they should not
                     be part of
                     professional
                     life,
                     … should they?
                                    5
                                         5
Research has been fragmented.


  Knowledge Management                 CSCW


                 HR Development
                                       Psychology
         HCI

                           Economics
Sensor engineering

                     Each with different ideas of
                     man, research methodologies, … 6   6
But there are promising approaches …




                                       7
                                           7
Management & HR: Dan Pink - Drive


▪ Motivation 1.0
   • largely based on our biological drive
   • We eat to sate our hunger, we drink to slake our thirst.
▪ Motivation 2.0
   • rewards & punishments, carrots & sticks
▪ Motivation 2.1
   • flexible schedules, a little bit more autonomy, socially
     responsible businesses
▪ Motivation 3.0
   • Autonomy - desire to be self-directed
   • Mastery – desire to get better
   • Purpose – a reason for existing

                                                                8
                                                                    8
Enterprise 2.0


▪ Collaboration behavior and effects of social
  dynamics

▪ Identifying different personality types

▪ Web 2.0 and basic needs, e.g., Deci & Ryan:
  • experiencing autonomy
  • experiencing competence
  • experiencing social relatedness
                                                 9
                                                     9
Leveraging bio-sensors


▪ Capture activity-level and stress level

▪ Reflect on emotional reactions

▪ Learn about decision behavior
  • physio-economics


                                            10
                                                 10
Motivation in knowledge maturing processes




                 Research on Motivation in the MATURE IP


  http://mature-ip.eu
Why is motivation so difficult to address?


▪ There are plenty of models for human motivation in
  different fields

▪ They help to describe a given situation, but they are
  of little use for deciding what to do
  in a (socio-technical) learning support systems.
   • Frequently only focussed on the individual (psychology)
   • Or too narrow in their understanding of human needs


▪ Problem: motivation is a generic phenomenon, but can
  only be addressed in a context-specific way.

                                                               12
                                                                    12
▪ Learn about the
  context
  ▪ empirical studies
  ▪ analysis framework


▪ Develop context-
  specific solutions
  ▪ participatory
    development
    approach
Analysis framework




                     14
                          14
Interview study: Motivational barriers

                     70


                     60                                                                                                 Fear of Disgrace


                                                                                                                        Loss of Power
                     50
number of mentions




                                                                                                                        Lack of Usability
                     40

                                                                                                                        No Interest
                     30

                                                                                                                        Low Awareness
                     20
                                                                                                                        Lack of Time
                     10


                     0
                          unrelated       Ia           Ib             II           III          IV           V
                                      expressing appropriating distributing in formalising   ad‐hoc     standardising
                                        ideas        ideas     communities                   training

                                                               phases of KMM                                                                15
                                                                                                                                                 15
Conclusions – what we‘ve learnt so far


▪ Addressing motivational aspects is challenging
   • multiple factors, individual differences
   • challenges of interdisciplinary work


▪ Understanding real-world contextes and target persons
  is most important
   • Either through immersion in workplace reality
   • Or captured in narratives

▪ Individual motivation deeply interlinked with team and
  organizational culture


                                                       16
                                                            16
How can we make
technology more aware
of motivational aspects?
Development methodology




                          18
                               18
▪ Don‘t design for average users!

▪ Leave room to users for finding their
  own way



                                          19
                                               19
Challenges   20
                  20
Challenges


▪ Incorporating motivational and affective aspects in
  (socio-technical) system design is currently more an art
  than an systematical engineering approach

▪ We need to move towards design patterns.

▪ This requires more investigation into existing systems,
  successes and failures.




                                                            21
                                                                 21
Outlook & Contact


MATURE IP – http://mature-ip.eu
Identifying and overcoming barriers to knowledge
maturing in organizations

http://mature-ip.eu/files/2009-11_Motivation.pdf
http://mature-ip.eu/results/representative-study

          Andreas Schmidt
             Department Manager / Scientific Coordinator MATURE
             FZI Research Center for Information Technologies,
             Haid-und-Neu-Str. 10-14 Karlsruhe, GERMANY (http://fzi.de/ipe)
             andreas.schmidt@fzi.de, http://andreas.schmidt.name
          Christine Kunzmann
             FZI & Kompetenzorientierte Personalentwicklung
             Ankerstr. 47, 75203 Königsbach-Stein, GERMANY,
             http://kompetenzen-gestalten.de
             contact@christine-kunzmann.de
                                                                              22
                                                                                   22
Acknowledgements:


▪ Picture: poisson rouge sautant d'un aquarium
  © Simon Coste #543847 – fotolia.com

▪ Others from http://sxc.hu
   •   http://www.sxc.hu/photo/319939_6613
   •   http://www.sxc.hu/photo/143622_4281
   •   http://www.sxc.hu/photo/1156284_39977081
   •   http://www.sxc.hu/photo/1169790_27775290
   •   http://www.sxc.hu/photo/1275937_97948668
   •   http://www.sxc.hu/photo/462280_61402643
   •   http://www.sxc.hu/photo/61022_7814

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The Role of Motivational and Affective Aspects: Empirical Results and Future Directions

  • 1. The Role of Motivational and Affective Aspects: Empirical Results and Future Directions Christine Kunzmann Andreas Schmidt Professional Training Facts 2011 FZI Research Center for Information Technologies, Karlsruhe
  • 2. Motivation is key for knowledge work “Knowledge workers are those people who have taken responsibility for their work lives. They continually strive to understand the world around them and modify their work practices and behaviors to better meet their personal and organizational objectives. No one tells them what to do. They do not take No for an answer. They are self motivated.” David Gurteen 2 2
  • 3. Emotions and affective aspects, too. Anxiety Joy Stress Frustration 3 3
  • 4. But so far, the perspective has been limited e.g., incentive systems 4 4
  • 5. And what about emotions… … they should not be part of professional life, … should they? 5 5
  • 6. Research has been fragmented. Knowledge Management CSCW HR Development Psychology HCI Economics Sensor engineering Each with different ideas of man, research methodologies, … 6 6
  • 7. But there are promising approaches … 7 7
  • 8. Management & HR: Dan Pink - Drive ▪ Motivation 1.0 • largely based on our biological drive • We eat to sate our hunger, we drink to slake our thirst. ▪ Motivation 2.0 • rewards & punishments, carrots & sticks ▪ Motivation 2.1 • flexible schedules, a little bit more autonomy, socially responsible businesses ▪ Motivation 3.0 • Autonomy - desire to be self-directed • Mastery – desire to get better • Purpose – a reason for existing 8 8
  • 9. Enterprise 2.0 ▪ Collaboration behavior and effects of social dynamics ▪ Identifying different personality types ▪ Web 2.0 and basic needs, e.g., Deci & Ryan: • experiencing autonomy • experiencing competence • experiencing social relatedness 9 9
  • 10. Leveraging bio-sensors ▪ Capture activity-level and stress level ▪ Reflect on emotional reactions ▪ Learn about decision behavior • physio-economics 10 10
  • 11. Motivation in knowledge maturing processes Research on Motivation in the MATURE IP http://mature-ip.eu
  • 12. Why is motivation so difficult to address? ▪ There are plenty of models for human motivation in different fields ▪ They help to describe a given situation, but they are of little use for deciding what to do in a (socio-technical) learning support systems. • Frequently only focussed on the individual (psychology) • Or too narrow in their understanding of human needs ▪ Problem: motivation is a generic phenomenon, but can only be addressed in a context-specific way. 12 12
  • 13. ▪ Learn about the context ▪ empirical studies ▪ analysis framework ▪ Develop context- specific solutions ▪ participatory development approach
  • 15. Interview study: Motivational barriers 70 60 Fear of Disgrace Loss of Power 50 number of mentions Lack of Usability 40 No Interest 30 Low Awareness 20 Lack of Time 10 0 unrelated Ia Ib II III IV V expressing appropriating distributing in formalising ad‐hoc standardising ideas ideas communities training phases of KMM 15 15
  • 16. Conclusions – what we‘ve learnt so far ▪ Addressing motivational aspects is challenging • multiple factors, individual differences • challenges of interdisciplinary work ▪ Understanding real-world contextes and target persons is most important • Either through immersion in workplace reality • Or captured in narratives ▪ Individual motivation deeply interlinked with team and organizational culture 16 16
  • 17. How can we make technology more aware of motivational aspects?
  • 19. ▪ Don‘t design for average users! ▪ Leave room to users for finding their own way 19 19
  • 20. Challenges 20 20
  • 21. Challenges ▪ Incorporating motivational and affective aspects in (socio-technical) system design is currently more an art than an systematical engineering approach ▪ We need to move towards design patterns. ▪ This requires more investigation into existing systems, successes and failures. 21 21
  • 22. Outlook & Contact MATURE IP – http://mature-ip.eu Identifying and overcoming barriers to knowledge maturing in organizations http://mature-ip.eu/files/2009-11_Motivation.pdf http://mature-ip.eu/results/representative-study Andreas Schmidt Department Manager / Scientific Coordinator MATURE FZI Research Center for Information Technologies, Haid-und-Neu-Str. 10-14 Karlsruhe, GERMANY (http://fzi.de/ipe) andreas.schmidt@fzi.de, http://andreas.schmidt.name Christine Kunzmann FZI & Kompetenzorientierte Personalentwicklung Ankerstr. 47, 75203 Königsbach-Stein, GERMANY, http://kompetenzen-gestalten.de contact@christine-kunzmann.de 22 22
  • 23. Acknowledgements: ▪ Picture: poisson rouge sautant d'un aquarium © Simon Coste #543847 – fotolia.com ▪ Others from http://sxc.hu • http://www.sxc.hu/photo/319939_6613 • http://www.sxc.hu/photo/143622_4281 • http://www.sxc.hu/photo/1156284_39977081 • http://www.sxc.hu/photo/1169790_27775290 • http://www.sxc.hu/photo/1275937_97948668 • http://www.sxc.hu/photo/462280_61402643 • http://www.sxc.hu/photo/61022_7814