Abstract
The product appearance plays an important role in users’ purchase decision, while the emotions elicited by the product appearance are subtle, low intensity and not easy to obtain. Event-related potentials (ERPs) can reflect people’s psychological activities and effectively identify the characteristics of brain’s affective process. In the present study, the affective preference measurement of humidifier appearance was conducted based on the theory of affective design and event-related potentials. Firstly, the collected humidifier pictures were screened to be the experimental stimuli through multidimensional scaling analysis and cluster analysis. During the affective preference measurement experiment, the participants were asked to judge the affective preference level (liked vs. neutral vs. disliked) of humidifier pictures with the mouse button clicking (left, middle, right), and the electroencephalograph signals were recorded at the same time. ERPs results showed that the frontal and central N1 and frontal, frontal–central and central late positive potential can be taken as the indexes to measure participants’ affective preference of humidifier appearance. In conclusion, the participants’ affective preference level of humidifier appearance can be measured by ERPs. The experiment results can be used to guide product design, by measuring the brain activities of different prototypes at the phase of product development we can roughly infer which one is the user preferred or not preferred.
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References
Antal A, Kéri S, Kovács G, Liszli P, Janka Z, Benedek G (2001) Event-related potentials from a visual categorization task. Brain Res Protoc 7(2):131–136
Britton JC, Taylor SF, Sudheimer KD, Liberzon I (2006) Facial expressions and complex IAPS pictures: common and differential networks. Neuroimage 31(2):906–919
Christine A, Andreas M, Paul P, Georg W (2004) Modulation of event-related brain potentials during affective picture processing: a complement to startle reflex and skin conductance response? Int J Psychophysiol 54(3):231–240
Codispoti M, Ferrari V, Bradley MM (2007) Repetition and event-related potentials: distinguishing early and late processes in affective picture perception. J Cogn Neurosci 19(4):577–586
Cuthbert BN, Schupp HT, Bradley MM, Birbaumer N, Lang PJ (2000) Brain potentials in affective picture processing: covariation with autonomic arousal and affective report. Biol Psychol 52(2):95–111
Desmet PMA, Hekkert P (1998) Emotional reactions elicited by car design: a measurement tool for designers. In: Proceedings of the 31st ISATA conference, Düsseldorf, pp 237–244
Desmet PMA, Hekkert PPM, Jacobs JJ (2000) When a car makes you smile: development and application of an instrument to measure product emotions. Adv Consum Res 27(1):111–117
Dien J (2017) Best practices for repeated measures ANOVAs of ERP data: reference, regional channels, and robust ANOVAs. Int J Psychophysiol 111:42–56
Ding Y, Guo F, Zhang XF, Qu QX, Liu WL (2016) Using event related potentials to identify a user’s behavioural intention aroused by product form design. Appl Ergon 55:117–123
Dirin A, Laine TH, Nieminen M (2017) Sustainable usage through emotional engagement: a user experience analysis of an adaptive driving school application. Cogn Technol Work 19:303–313
Dolcos F, Cabeza R (2002) Event-related potentials of emotional memory: encoding pleasant, unpleasant, and neutral pictures. Cogn Affect Behav Neurosci 2(3):252–263
Dunning JP, Hajcak G (2009) See no evil: directing visual attention within unpleasant images modulates the electrocortical response. Psychophysiology 46(1):28–33
Ferrarini R, Carbognin C, Casarotti E, Nicolis E, Nencini A, Meneghini A (2010) The emotional response to wine consumption. Food Qual Prefer 21:720–725
Flaisch T, Stockburger J, Schupp HT (2008) Affective prime and target picture processing: an ERP analysis of early and late interference effects. Brain Topogr 20(4):183–191
Foti D, Hajcak G (2008) Deconstructing reappraisal: descriptions preceding arousing pictures modulate the subsequent neural response. J Cogn Neurosci 20(6):977–988
Guo F, Zhao L, Cao YQ, Zhang XY (2012) Optimization design of the shape of automobile face based on Kansei engineering. Ind Eng Manag 17(6):111–116
Guo F, Liu WL, Liu FT, Wang H, Wang TB (2014) Emotional design method of product presented in multi-dimensional variables based on Kansei engineering. J Eng Des 25(4–6):194–212
Guo F, Ding Y, Wang TB, Liu WL, Jin HZ (2016) Applying event related potentials to evaluate user preferences toward smartphone form design. Int J Ind Ergon 54:57–64
Hajcak G, Nieuwenhuis S (2006) Reappraisal modulates the electrocortical response to unpleasant pictures. Cogn Affect Behav Neurosci 6(4):291–297
Handy TC, Smilek D, Geiger L, Liu C, Schooler JW (2010) ERP evidence for rapid hedonic evaluation of logos. J Cogn Neurosci 22(1):124–138
Hirschman EC, Holbrook MB (1982) Hedonic consumption: emerging concepts, methods and propositions. J Mark 46(3):92–101
Hu ZG, Wei XT, Qiao XL, Li Y, Fan JS (2014) Research on perceptual quantization in ladies’ handbag design. China Leather 24:122–125
Hua M, Han ZR, Chen S, Yang M, Zhou R, Hu F (2014) Late positive potential (LPP) modulation during affective picture processing in preschoolers. Biol Psychol 101(3):77–81
Keil A, Müller MM, Gruber T, Wienbruch C, Stolarova M, Elbert T (2001) Effects of emotional arousal in the cerebral hemispheres: a study of oscillatory brain activity and event-related potentials. Clin Neurophysiol 112(11):2057–2068
Keselman HJ, Wilcox RR, Lix LM (2003) A generally robust approach to hypothesis testing in independent and correlated groups designs. Psychophysiology 40(4):586–596
LaBar KS, Cabeza R (2006) Cognitive neuroscience of emotional memory. Nat Rev Neurosci 7(1):54–64
Langeslag SJ, Jansma BM, Franken IH, Van-Strien JW (2007) Event-related potential responses to love-related facial stimuli. Biol Psychol 76(1):109–115
Laparra-Hernández J, Belda-Lois JM, Medina E, Campos N, Poveda R (2009) EMG and GSR signals for evaluating user’s perception of different types of ceramic flooring. Int J Ind Ergon 39(2):326–332
Li S, Sun M, Xu N, Liu FT (2013) Development of a model to measure consumer emotions associated with web browsing. Ind Eng Manag 18(1):106–110
Li R, Qin R, Zhang JS, Wu JJ, Zhou CL (2015) The esthetic preference of Chinese typefaces—an event-related potential study. Brain Res 1598:57–65
Liu CY, Wang HL, Chen R, Chen WR (2012) Product design and evaluation based on Kansei engineering. Packag Eng 33(10):90–94
Lü J, Chen DS (2013) A study on psychological and physiological responses to emotions evoked by clothing styles using SAM model and ERPs. Res J Appl Sci Eng Technol 5(5):1740–1743
Luck SJ (2014) An introduction to the event-related potential technique, 2 revised edn. The MIT Press, Cambridge
Macnamara A, Foti D, Hajcak G (2009) Tell me about it: neural activity elicited by emotional pictures and preceding descriptions. Emotion 9(4):531–543
Mandryk RL, Inkpen KM, Calvert TW (2006) Using psychophysiological techniques to measure user experience with entertainment technologies. Behav Inf Technol 25(2):141–158
Matsuda M, Nittono H (2015) Motivational significance and cognitive effort elicit different late positive potentials. Clin Neurophysiol 126(2):304–313
Motte D (2009) Using brain imaging to measure emotional response to product appearance. In: Proceedings of the 4th international conference on designing pleasurable products and interfaces-DPPI09, Compiègne, pp 187–198
Nasoz F, Alvarez K, Lisetti CL, Finkelstein N (2004) Emotion recognition from physiological signals using wireless sensors for presence technologies. Cogn Technol Work 6(1):4–14
Partala T, Surakka V (2003) Pupil size variation as an indication of affective processing. Int J Hum Comput Stud 59(1–2):185–198
Pastor MC, Bradley MM, Löw A, Versace F, Moltó J, Lang PJ (2008) Affective picture perception: emotion, context, and the late positive potential. Brain Res 1189(3):145–151
Pollatos O, Kirsch W, Schandry R (2005) On the relationship between interoceptive awareness, emotional experience, and brain processes. Cogn Brain Res 25(3):948–962
Rainville P, Bechara A, Naqvi N, Damasio A (2006) Basic emotions are associated with distinct patterns of cardiorespiratory activity. Int J Physiol 61(1):5–18
Reijneveld K, De Looze M, Krause F, Desmet P (2003) Measuring the emotions elicited by office chairs. In: International conference on designing pleasurable products and interfaces, Pittsburgh, pp 6–10
Righi S, Orlando V, Marzi T (2014) Attractiveness and affordance shape tools neural coding: insight from ERPs. Int J Psychophysiol 91(3):240–253
Su JN, Wang RH, Zhao HJ, Zhang ST (2015) Optimization design of product modeling based on Kansei image. Chin J Eng Des 22(1):35–41
Vogel EK, Luck SJ (2000) The visual N1 component as an index of a discrimination process. Psychophysiology 37(2):190–203
Winckler M, Bernhaupt R, Bach C (2016) Identification of UX dimensions for incident reporting systems with mobile applications in urban contexts: a longitudinal study. Cogn Technol Work 18(4):673–694
Zhang W, Li H, Chen J, Chen N, Liu X, Wang D, Shen J (2014) Posterior P1 and early frontal negativity reflect developmental changes in attentional distraction during adolescence. Brain Cogn 87(3):30–38
Zhou XX, Liang HE (2015) Evaluation and analysis of perceptual images of clothing fabrics. J Text Res 36(3):99–104
Acknowledgements
This work is supported by the National Natural Science Foundation of China (Grant Nos. 71471033, 71171041). We thank the participants from the Northeastern University. Finally, thank the editor and anonymous reviewers for their valuable comments and advice.
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Guo, F., Wang, Xs., Liu, Wl. et al. Affective preference measurement of product appearance based on event-related potentials. Cogn Tech Work 20, 299–308 (2018). https://doi.org/10.1007/s10111-018-0463-5
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DOI: https://doi.org/10.1007/s10111-018-0463-5