Abstract
This research explores the relation between specific inspirations such as animals postures and the expressiveness of the design solutions provided by the designers. The prediction of semantic and emotional responses underlying animals’ postures and attitudes might help designers to define design specifications and imagine design solutions with a high expressivity. To address this issue, an experiment was conducted with designers in watching six sets of animal posture images and corresponding product images. This experiment derived quantitative and qualitative results from the combination of cogntive/physiological methods: a questionnaire, Galvanic Skin Reponse (GSR), and eye tracking system.
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References
Bouchard C, Mantelet F, Aoussat A, Solves C, Gonzalez JC, Pearce K, Coleman S, (2009) A European Emotional Investigation In The Field Of Shoes Design. International Journal Of Product Development, Special Issue On Kansei Engineering And Emotional Design 7(1-2):3–27
Bianchi-Berthouze N, Kleinsmith A, (2003) A categorical approach to affective gesture recognition. Connection Science 15:259–269
Coulson M, (2004) Attributing emotion to static body postures: Recognition accuracy, confusions, and viewpoint dependence. Journal of Nonverbal Behavior 28:117–139
Djajadiningrat T, Matthews B, Stienstra M, (2007) Easy doesn’t do it: skill and expression in tangible aesthetics. Personal and Ubiquitous Computing 11:657–676
Eckert C, Stacey M, (2000) Sources of inspiration: a language of design. Design studies 21(5):523–538
Ekman P, Friesen W, (1967) Head and body cues in the judgment of emotion: A reformulation. Perceptual and Motor Skills 24:711–724
Field AP, Schorah H, (2007) The verbal information pathway to fear and hear rate changes in children. Journal of Child Physiology and Psychiatry 48(11):1088–1093
Ganglbauer E, Schrammel J, Deutsch S, Tscheligi M, (2009) Applying Psychophysiological Methods for Measuring User Experience: Possibilities, Challenges and Feasibility. UXEM’09
Geneva Emotion Research Group, (1998) Appendix F. Labels describing affective states in five major languages.http://www.unige.ch/fapse/emotion/resmaterial/resmaterial.html
Globich J, Hamm AO, Esteves F, and Öhman A, (1999) Fear appears fast: Temporal course of startle reflex potentiation in animal fearful subjects. Psychophysiology 36:66–75
Helms ME, Vattam SS, Goel AK, (2008) Problem-Driven and Solution-Based Design: Twin Processes of Biologically Inspired Design. In ACADIA08 Conference
Jenkins S, Brown R, Rutterford N, (2009) Comparing thermographic, EEG, and subjective measures of affective experience during simulated product interactions. International Journal of Design 3(2):53–65
Laban R, (1988) The mastery of movement. Princeton
Lang PJ, Bradley MM, Cuthberth BN, (1997) International affective picture system(IAPS):Technical Manual and Affective ratings. In NIMH Center for the Study of Emotion and Attention
Mantelet F, (2006) Prise en compte de la perception émotionnelle du consommateur dans le processus de conception de produits. Ph.D Thesis, Arts et Metiers ParisTech, France
Mehrabian A, Friar J, (1969) Encoding of attitude by a seated communicator via posture and position cues. Journal of Consulting and Clinical Psychology 33:330–336
Mougenot C, Bouchard C, Aoussat A, (2008) Inspiration, Images And Design: A Field Investigation Of Information Retrieval Strategies By Designers. Journal of Design Research 7(4):331–351
Nagamachi M, Tachikawa M, Imanishi N, Ishizawa T, Yano S, (2008) A successful statistical procedure on kansei engineering products. Electronic Conference Proceedings
Picard RW, Vyzas E, Healey J, (2001) Toward machine emotional intelligence: Analysis of affective physiological state. IEEE Transactions Pattern Analysis and Machine Intelligence 23:1175–1191
Poels K, Dewitte S, (2006) How to capture the heart? Reviewing 20 years of emotion measurement in advertising. In Journal of Advertising Research
Tipples J, Young AW, Quinlan P, Broks P, Ellis AW, (2002) Searching for threat. The quarterly journal of experimental psychology section A 55(3):1007–1026
Tran TQ, Boring, RL, Dudenhoeffer DD, Hallbert BP, Keller MD, Anderson TM, (2007) Advantages and Disadvantages of Physiological Assessment For Next Generation Control Room Design. Human Factors and Power Plants and HPRCT 13th Annual Meeting, IEEE 8th, 259–263
Van den Broek EL, Westerink JHDM, (2009) Consideration for emotion aware consumer products. Applied Ergonomics 40:1055–1064
Wallbott HG, (1998) Bodily expression of emotion. European Journal of Social Psychology 28:879–896
Wang H, (1995) An approach to computer-aided styling. Design Studies 16(1):50–61
Wilson JO, Rosen D, (2010) The effects of biological examples in idea generation. Design Studies 31(2):169–186
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Kim, J., Bouchard, C., Bianchi-Berthouze, N., Aoussat, A. (2011). Measuring Semantic and Emotional Responses to Bio-inspired Design. In: Taura, T., Nagai, Y. (eds) Design Creativity 2010. Springer, London. https://doi.org/10.1007/978-0-85729-224-7_18
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DOI: https://doi.org/10.1007/978-0-85729-224-7_18
Publisher Name: Springer, London
Print ISBN: 978-0-85729-223-0
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