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A UX PEDAGOGY
ON MULTIMODAL ASPECTS OF
EMOTIONS
LearnXDesign 2019
Paper 013
Parisa MORADI
Amabel HUNTING
Ricardo SOSA
How to educate designers to address the emotional
experience with smart products?
Unaddressed:
1. Memory
2. Experience
3. Individual differences
4. Aesthetics
5. Sensory elements
UX with AI
Required:
1. Studio based learning
2. Systematic user modelling
3. Multidimensional and
longitudinal emotions
4. Impacts and consequences
UX Ed
A studio model that
accounts for affective states
of vulnerable users of AI
Dimensions of Emotions
Subjective
Physiological
Thought-action
Behavioural
Cognitive
Jacob-Dazarola, Nicolás, and Bayona, 2016
A pedagogy based on the
Unified Theory of
Acceptance and Use of
Technology (UTAUT)
Venkatesh et al., 2016
Interaction Design Workshops
Metrics of emotions
Visualising data Co-design with users
Inclusive UX methods
Pilot
Study
In collaboration with
AUT Centre for Active Ageing (ACAA)
to better understand the needs and demand
of the community
Research journey
• Ongoing UX study of older adults
with a social robot
• Prolonged user research (2 weeks)
• N = 15
• Evaluating:
• Mental reasoning
• Physiological
• Gestural
• Behavioural
• Individual and situational factors
Technology
centred
Emotion
centred
Reframing Design of AI
To create meaningful and engaging experiences for the users
Discussion
Inclusive AI
Studio pedagogy for
AI design
User-centred AI
What UX Design brings to AI
Broader
perspectives
Relevant and
humane
solutions&
May a focus on human emotions
help future UX practitioners
reshape AI?
Teşekkürler
ThankYou
Parisa, MORADI
parisa.moradi@aut.ac.nz
Ricardo, SOSA
ricardo.sosa@aut.ac.nz
Amabel, HUNTING
amabel.hunting@aut.ac.nz
#013
Workshops for Evaluating Emotions
Jacob-Dazarola et al. (2016)
Why?
Effective UX Design
Active
Scenarios
Analysis
Data
Visualisation
Multidimensional
Emotions
Empathy
• Social inclusion
• Co-creation
• Participation
• Better living
Inclusive
UX Design

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A UX Pedagogy on Multimodal Aspects of Emotions

Notes de l'éditeur

  1. “USERS”?
  2. Unaddressed dimensions of UX for the design of high-tech products such as AI, IoT, social robots, etc… Users’ memory, Previous interaction with technology, Individual differences, Aesthetics, Sensory elements of the designs shape the emotional user experience but remain largely unaddressed in the literature.
  3. The emotional dimensions of everyday products can elicit a range of experiences for users Recent studies identify multidimensional factors shaping user experience and illustrate the reactions in users including physiological and behavioural. The multifaceted nature of emotions demands a systematic and deep level of understanding of user behaviour from attitudes and expectations prior to interaction, through purchasing decision making, initial and long-term usage, and post-usage. (F. Martin & Sherman, 2015). Emotions are multidimensional that require systematic and deep level of understanding of users. The acquisition and use of smart products are vital to the identities and relationships that connect individuals and determine their behaviours (Solomon, Dahl, White, Zaichkowsky, & Polegato, 2017). Compared to the growth of UX profession and research, little to scarce scholarship addresses the learning and teaching aspects of UX design
  4. The aim: This research seeks to contribute to a better understanding of UX methods for smart products. Our aim here is to provide a grounded model for studio education that accounts for the affective state of vulnerable users of smart products.
  5. Building upon the literature, this research will offer a deeper understanding of teaching UX practices through the following activities: Interactive problem solving workshops to teach the techniques of measuring emotions proposed by Jacob-Dazarola, Nicolás, and Bayona (2016). Visualising data that can help compare and understand the value of each technique. Co-design with older people to define the project priorities and represent their voices (Walker, 2018). Creatively expand the knowledge, attitudes, values, and methodologies associated with inclusive UX designs that address the needs of ageing users. A pedagogical approach to evaluate and analyse the affective interaction with smart products. The training requires students to capture users’ emotions through mixed methods and visually analyse the data in ways that are adapted from the initial stages of a PhD research project and grounded in the literature.
  6. model (Venkatesh, Thong, & Xu, 2016). UTAUT recommends users acceptance of technologies should be examined from initial introduction to post-adoption, throughout an extended period of time. The model suggests that studies need to focus on active adoption decision-making process. Routinized behaviours may result in retrospective reported individual reactions.
  7. Building upon the literature, this research will offer a deeper understanding of teaching UX practices through the following activities: Interactive problem solving workshops to teach the techniques of measuring emotions proposed by Jacob-Dazarola, Nicolás, and Bayona (2016). Visualising data that can help compare and understand the value of each technique. Co-design with older people to define the project priorities and represent their voices (Walker, 2018). Creatively expand the knowledge, attitudes, values, and methodologies associated with inclusive UX designs that address the needs of ageing users. A pedagogical approach to evaluate and analyse the affective interaction with smart products. The training requires students to capture users’ emotions through mixed methods and visually analyse the data in ways that are adapted from the initial stages of a PhD research project and grounded in the literature.
  8. a UX pedagogy to Collaborating with AUT Centre for Active Ageing (ACAA): social inclusion co-creation, and participation active ageing better living Educate and facilitate the better understanding of the needs and demand of the community.
  9. The pedagogical approach is part of an ongoing PhD study that looks at the multidimensional aspects of emotions through conducting prolonged user research. It evaluates users’ emotions by looking through the mental reasoning, changes in physiological, gestural, behavioural, and individual responses. The research targets older users’ engagement with smart products. It applies User Experience theories to study the emotional responses of an older generation of users. A mixed methods approach to data collection is selected to collect both qualitative and quantitative data of the users, and to understand their emotional needs and experiences deeply. There are four main methods of data collection: interviews, multimodal usability observation, solicited extended experience sampling, and co-design session. This approach will combine traditional design tools, such as interviews to identify what participants think and say, with observation of both physiological and behavioural signals. The self-report user experience method monitors users responses over the course of the research. Lastly, by conducting a co-design/creative session reflection and ideation of future design of the smart products will take in place. The creative session will give the opportunity of taking the conversation beyond the lived experience and ideate what can be implemented in the future of designs.
  10. Heart rate measuring which is quite accessible and easy technique for physiological and biometric data collection
  11. Example of my users heart-rate. First user heart-rate jumped quite high to 130 when starting to interact with the robot. Second users’ heart-rate was quite steady. Reactions might be different based on individual physiological responses or maybe the fact that second user’s familiarity with digital technologies.
  12. Behavioural Prolonged activities for learning functions in naturalistic environments (journaling, outside the lab)
  13. Thought-action Gestures and expressions that can be categorised into emotional expressions (Observation, gestures, eye-gaze, facial expressions, movement)
  14. A move from traditional UX design that are focused on “designers” to emotion based practices that are user-centred. Augment the reliability of students’ designs: Understanding users’ emotions & Prioritising users’ emotions in all stages of design  learning about the UX evaluating techniques Refine new technologies into humanised instruments Create meaningful and engaging experiences for the users Design solutions based on enhancing users’ emotional needs Basic knowledge about data collection, analysis, and data visualisations Differentiate as UX practitioners compared to other design curriculums By comparing and analysing users’ emotions, students will gain more in-depth understanding of the significance of conducting UX research in design practices.
  15. Paper discussion User-Centred program: A shift towards focusing on concepts of individual differences, such as different generation of users and concepts of familiarity. Inclusive design: evaluation of older people’s emotions when interacting with smart products. One approach of improving the experience of complex contemporary products is to integrate intuitive interaction into designs practices with an aim of shifting towards a more inclusive society . Testing the learning process: based on the design outcomes and feedbacks of users we can evaluate the quality of the workshops and student learnings.
  16. The design community needs to prepare UX practitioners with broader perspective for the envisioned future of technologies designed for older users. The design of future products has to extend beyond the narrow focus of age-related decline. Designing for this space is not exclusive to supporting functional independency, but also about living experiences that have been digitalised such as experiences like reading, listening, making and creating, playing, communicating, and sharing.
  17. Question for the conference How a better understanding of human emotions may affect the role that UX designers currently play? How an in-depth approach to human emotions may reshape the professional practice of UX designers?
  18. Dimensions to evaluate emotions. Dimensions of Emotions Cognitive Individual’s evaluation, classification, and ratings of products. (scale ratings questionnaires) Physiological Physiological responses that can be measured into quantitative data (ECG, EEG, Heart-rate, GSR) Behavioural Prolonged activities for learning functions in naturalistic environments (journaling, outside the lab) Thought-action Gestures and expressions that can be categorised into emotional expressions (Observation, gestures, eye-gaze, facial expressions, movement) Subjective Individual differences, perspectives, values, and responses (interviewing)
  19. Through the development of active problem-solving scenarios, students learn to understand the multidimensional aspects of emotions and cultivate the skills and dispositions needed to empathise with users. Visualisations seek to enhance students’ knowledge of how these methods can provide complementary information and how to analyse and interpret the collected data. The proposed model seeks to inform design education on effective ways to design with new technologies for more meaningful and positive emotional experiences. Active problem-solving scenarios understand the multidimensional aspects of emotions empathise with users Data visualisations to enhance students’ knowledge of complementary information Analyse and interpret the collected data. Effective design with new technologies to create meaningful and positive emotional experiences.
  20. Social inclusion Co-creation Participation Better living