Designing Kansei Experience For Interaction
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A short presentation about kansei and interaction design studies.
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Designing Kansei Experience For Interaction
- 1. April 29th @ NTUST
- 2. Self Portrait - was born in Taipei, Taiwan. - 3 years experience in Marketing and Design Communication in IT company - entered to Graduate School of Industrial Design, Cheng-Kung University, Tainan, Taiwan. - entered to Ph.D. Programme, Division of Design Science, Chiba University, Chiba, Japan
- 3. Self Portrait - was born in Taipei, Taiwan. - 3 years experience in Marketing and Design Communication in IT company - entered to Graduate School of Industrial Design, Cheng-Kung University, Tainan, Taiwan. - entered to Ph.D. Programme, Division of Design Science, Chiba University, Chiba, Japan - member of IxDesignLab Taiwan, largest interest group of interaction design with overseas chinese. - coordinator in workshops of Interaction Jam! Workshop, Renaissance with Nature workshop, and so on. - main arrangement of CHOTERIE, presented works in Tokyo Designers Week, 2010 - Post-doc researcher in Quanta Research Institute, Now
- 4. About Chiba University 40 mins 60 mins
- 5. Topics Introductions Designing Kansei for Interaction Case study: several design research via Kansei Reflection
- 7. Human-Machine Interaction Since 1950 Control panel NASA
- 8. Computer-Human Interaction Since 1960 Artificial Intelligence Cybernetics Ubiquitous
- 9. Human-Computer Interaction Since 1970 Cognition Perception Adaptive
- 10. Social Interaction Since 1980 Distance workspace Computer-supported cooperative work(CSCW) Collaborative computing
- 11. Physical Interaction Since 1990 Tangible and embedded interactions Affective Haptic Perceptual Interface
- 12. Primitive model in interaction design/designing interactions User Object
- 13. Primitive model in interaction design/designing interactions Action User Sensation Object Experience
- 14. Interaction Design / Designing Interaction Theoretical Empirical
- 15. Interaction Design / Designing Interaction Theoretical Empirical Interdisciplinary study - process-based engineering approach Types of interface - graphic user interface (GUI) - tangible user interface (TUI)... etc Action-based - usability engineering - efficiency
- 16. Interaction Design / Designing Interaction Theoretical Empirical Interdisciplinary study Multi-disciplinary study - process-based engineering approach - respect to nature Types of interface Located - graphic user interface (GUI) - physical object - tangible user interface (TUI)... etc - ambient environment Action-based Sensation-based - usability engineering - affective - efficiency - emotional - reflection
- 17. Designing Kansei for Interaction Empirical Multi-disciplinary study - respect to nature Kansei ? Allocations - Tangible object - Ambient environment Sensation-based - affective - emotional - reflection
- 18. What is Kansei?
- 19. Henri Cartier-Bresson - Gare Saint-Lazare, 1932
- 20. , , 1989
- 21. Le Corbusier, Le Corbusier Sofa LC3, 1928
- 22. Kansei = Pure Experience
- 23. Kansei Approaches questions to achieve “Pure Experience” How to produce pure experience? What is pure experience? Being pure experience?
- 24. Kansei Approaches questions to achieve “Pure Experience” Kansei Engineering Extract from human cognitive mind, constructive, emotional allocation Focused on cognition mapping from shape, obstacle, style, and form Visual sensory input Kansei Science Understanding kansei (what) As direct as possible, based on scientific approach. For applicative purpose Kansei Design Involve designer’s kansei(what) Develop kansei design skills Engage to user’s kansei
- 25. Designing Kansei for Interaction Empirical Multi-disciplinary study Physiology, Psycho-sociology, Psychology - respect to nature Allocations Mind & Soul, - Tangible object - Ambient environment Sensation-based sensory-audience driven activity, subjective sensation, passive perception - affective - emotional - reflection Kansei !
- 27. DEVELOPING SENSORY FUNCTION: TRANSFER HUMAN SENSES FROM CONTEXTUAL PERCEPTION Tung Jen TSAI (a), Pierre LEVY (b), Kenta ONO(c) and Makoto WATANABE(c) (a) Division of Design Science, Chiba University, Japan (b) Eindhoven University of Technology, Nehterlands (c) Faculty of Engineering, Division of Design Science, Chiba University, Japan
- 28. 1 INTRODUCTION • Dualism in traditional interaction design: Digital Input ----- Digital output Computer Hyper space Human Interactive system Interaction Human cognitive actions *computer-supported collaborative work
- 29. 1 INTRODUCTION • Context for implicit interaction: Digital input/output Analogue input/output ----- ----- ----- Computing Machine Interaction Human Senses Anyplace, anywhere, any-person Context Human actions or activities
- 30. 1 INTRODUCTION • Objectives: • Describe the integration form contextual environment as stimuli to human perception. • Comprehensive the sensorimotor in transfer nature •A process to extract contextual perception by nature of transfer functions. • Design an application for reflection
- 31. 2 STATE OF ART • Context in computing • CSCW: Communicative space in contextual environment • Tangible: Meaningful, implicit interactions • From “how” to “why”?
- 32. 2 STATE OF ART • Approaches in design for support contextual communications • Culture probe [16], rooted from “social affordance” • Context mapping[17], incentive communicational exploration • Sensory Function, define as the transfer functions from contextual stimuli to perception.
- 33. 2 STATE OF ART Input Perception Output tacit interaction Contextual Tacit Knowing perception Context sensorimotor Stimuli Visual Visual Images optical signals perception
- 34. 2 STATE OF ART The theoretical nature of contextual perception Sense the implicit interaction Transfer from stimuli via sensorimotor Dynamic with open-system
- 35. 3 METHOD Observation Interpretation Analysis Prototype Context Cluster Sensory Function Reflection
- 36. 4 RESULT: OBSERVATION What is the situation? Who are the actors? - embedded situation in spatial environment - human actors / artifical actors Context
- 37. 4 RESULT: INTERPRETATION Object a) coffee cup b) table c) cash register sensory Senses d) menu organs a) sight a) eyes b) hearing b) hands Clusters c) taste c) ears d) smell d) nose e) touch e) mouth Drinks Spatial a) coffee a) room b) macha b) counter c) latte d) tea Stimuli
- 38. 4 RESULT: ANALYSIS FS 11: the ordering process should provide a counter that waiter can using their hands (touch) on the cash register. Object FS 11 a) coffee cup b) table c) cash register sensory Senses d) menu organs a) sight a) eyes b) hearing b) hands c) taste c) ears d) smell d) nose e) touch e) mouth Drinks Spatial a) coffee a) room b) macha b) counter c) latte d) tea Stimuli
- 39. 4 RESULT: ANALYSIS FS 9: the ordering process should provide coffee cups for coffee drinker in seeing (eyes) the drinks to be filled with. Object a) coffee cup b) table c) cash register sensory Senses d) menu organs a) sight a) eyes b) hearing b) hands c) taste c) ears d) smell d) nose e) touch e) mouth Drinks Spatial a) coffee a) room b) macha b) counter c) latte d) tea Stimuli
- 40. 4 RESULT: PROTOTYPE “clink! (water drop)” (1) (2) FS 7, 9, 10, 11 FS 11, 15 FS 2, 7 FS 3, 4 FS 6, 8, 11
- 41. 4 RESULT: REFLECTION
- 42. 4 RESULT: REFLECTION Control Group Experimental Group (with explanation) (without explanation) Accuracy • Finger-for-volume • Tap-for-sugar • Twist-for-temperature • Push-for-strongness Satisfaction • Chip-for-variation
- 43. 4 RESULT: REFLECTION Point-for-Volume 0% 46.9% 25.0% 28% 40.6 Tap-for-Sugar 43.8% 21.9% 31% 3.1% 43.8 Twist-for-Temperature 90.6% 3.1% 3% 3.1% 90.6 Push-for-Strongness 40.6% 12.5% 38% 9.4% 40.6 Chip-for-Variation 0% 93.8% 3% 3.1% 93.8 0 0 1 1 1 Correct Noise Not notice Without meaning Without explanation Accuracy
- 44. 4 RESULT: REFLECTION 5 4 3 2 1 Accuracy 40.6 43.8 90.6 40.6 93.8 0 Point-for-Volume Tap-for-Sugar Twist-for-Temperature Push-for-Strongness Chip-for-Variation Total Satisfaction With explanation Without explanation
- 45. 5 CONCLUSION&DISCUSSION • Manifest in sensory functions • The functionality of sensory functions • situated actions that combines perceptual “images” • embedded with dynamic properties in contextual environment. •A further discussion in contextual perception with visual input. • Intentions that transform from contextual perception • Quality in design interaction human perceptual actions
- 46. Reflections Personal Kansei in mini-seconds, and how to exploit collective Kansei? Sensory-forced function which can be embedded into any physical object, virtual machine, material, intelligent space. Transferring Kansei through interaction
- 47. Thanks, and question? tungjentsai@gmail.com @tungjentsai
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