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Erschienen in:
NeuroIS Knowledge Discovery Approach to Prediction of Traumatic Brain Injury Survival Rates: A Semantic Data Analysis Regression Feasibility Study Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Measuring Appeal in Human Computer Interaction: A Cognitive Neuroscience-Based Approach

verfasst von : Tillmann Neben, Bo Sophia Xiao, Erik Lim, Chee-Wee Tan, Armin Heinzl

Erschienen in: Information Systems and Neuroscience

Verlag: Springer International Publishing

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Abstract

Appeal refers to the positive emotional response to an aesthetic, beautiful, or in another way desirable stimulus. It is a recurring topic in information systems (IS) research, and is important for understanding many phenomena of user behavior and decision-making. While past IS research on appeal has relied predominantly on subjective self-rating scales, this research-in-progress paper proposes complementary objective measurement for appeal. We start by reviewing the linkages between the theoretical constructs related to appeal and their neurophysiological correlates. We then review past approaches to measuring appeal and discuss their characteristics. Finally, we arrive at a recommendation that builds on a combination of psychophysiology (EDA, facial EMG) and brain imaging (fNIRS).

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Vorheriges Kapitel Using fMRI to Explain the Effect of Dual-Task Interference on Security Behavior
Nächstes Kapitel Mobile App Preferences: What Role Does Aesthetics and Emotions Play?
Literatur
1.
Bhandari, U., Chang, K.: Role of emotions and aesthetics in ICT usage for underserved communities: a NeuroIS investigation. In: Proceedings of ICIS 2014, AIS (2014)
2.
Pengnate, F., Sarathy, R.: Form and function: how website characteristics impact user behavior. In: Proceedings of AMCIS 2011, AIS (2011)
3.
Cyr, D., Head, M., Larios, H., Pan, B.: Exploring human images in website design: a multi-method approach. MIS Q. 33, 539–566 (2009)
4.
Cai, S., Xu, Y., Yu, J., De Souza, R.: Understanding aesthetics design for E-commerce web sites: a cognitive-affective framework. In: Proceedings of PACIS 2008, Paper 60, AIS (2008)
5.
Caishun, Z.: Cultural recontextualization in E-business web design: a socio-cognitive model. In: Proceedings of WHICEB 2013, Paper 85, AIS (2013)
6.
De Guinea, A.O., Titah, R., Léger, P.-M., Micheneau, T.: Neurophysiological correlates of information systems commonly used self-reported measures: a multitrait multimethod study. In: Proceedings of 45th Hawaii International Conference on System Sciences (HICSS), AIS (2012)
7.
Dimoka, A., Banker, R.D., Benbasat, I., Davis, F.D., Dennis, A.R., Gefen, D., Gupta, A., Ischebeck, A., Kenning, P.H., Pavlou, P.A., Müller-Putz, G., Riedl, R., Vom Brocke, J., Weber, B.: On the use of neurophysiological tools in is research: developing a research agenda for NeuroIS. MIS Q. 36, 679–702 (2012)
8.
Jacobsen, T.: Beauty and the brain: culture, history and individual differences in aesthetic appreciation. J. Anat. 216, 184–191 (2010)CrossRef
9.
Sternberg, S.: Memory-scanning: mental processes revealed by reaction-time experiments. Am. Sci. 47, 421–457 (1969)
10.
Vessel, E.A., Starr, G.G., Rubin, N.: The brain on art: intense aesthetic experience activates the default mode network. Front. Hum. Neurosci. 6, 1–17 (2012)
11.
Cyr, D., Head, M., Larios, H.: Colour appeal in website design within and across cultures: a multi-method evaluation. Int. J. Hum. Comput. Stud. 68, 1–21 (2010)CrossRef
12.
Pelet, J.-É., Papadopoulou, P.: The effect of colors of E-commerce websites on consumer mood, memorization and buying intention. Eur. J. Inf. Syst. 21, 438–467 (2012)CrossRef
13.
Campbell, D.E., Wells, J.D., Valacich, J.S.: Breaking the ice in B2C relationships: understanding pre-adoption E-commerce attraction. Inf. Syst. Res. 24, 219–238 (2013)CrossRef
14.
Wells, J.D., Valacich, J.S., Hess, T.J.: What signals are you sending? How website quality influences perceptions of product quality and purchase intentions. MIS Q. 35, 373–396 (2011)
15.
Tschacher, W., Greenwood, S., Kirchberg, V., Wintzerith, S., van den Berg, K., Tröndle, M.: Physiological correlates of aesthetic perception of artworks in a museum. Psychol. Aesthet. Creativity Arts 6, 96–103 (2012)CrossRef
16.
Riedl, R., Kindermann, H., Auinger, A., Javor, A.: Technostress from a neurobiological perspective: system breakdown increases the stress hormone cortisol in computer users. Bus. Inf. Syst. Eng. 4, 61–69 (2012)CrossRef
17.
Kühn, S., Gallinat, J.: The neural correlates of subjective pleasantness. NeuroImage 61, 289–294 (2012)CrossRef
18.
Fu, G., Mondloch, C.J., Ding, X.P.A., Short, L., Sun, L., Lee, K.: The neural correlates of the face attractiveness aftereffect: a functional near-infrared spectroscopy (fNIRS) study. NeuroImage 85, 363–371 (2014)CrossRef
19.
Jacobsen, T., Schubotz, R.I., Höfel, L., Cramon, D.Y.V.: Brain correlates of aesthetic judgment of beauty. NeuroImage 29, 276–285 (2006)CrossRef
20.
Reimann, M., Zaichkowsky, J., Neuhaus, C., Bender, T., Weber, B.: Aesthetic package design: a behavioral, neural, and psychological investigation. J. Consum. Psychol. 20, 431–441 (2010)CrossRef
21.
Cela-Conde, C.J., Marty, G., Maestú, F.: Activation of the prefrontal cortex in the human visual aesthetic perception. Proc. Nat. Acad. Sci. USA 101(16), 6321–6325 (2004)
22.
Munar, E., Nadal, M., Castellanos, N.P.: Aesthetic appreciation: event-related field and time-frequency analyses. Front. Hum. Neurosci. 5, 1–11 (2011)
23.
Chatterjee, A.: Neuroaesthetics: a coming of age story. J. Cogn. Neurosci. 23, 53–62 (2011)CrossRef
24.
Vartanian, O., Goel, V.: Neuroanatomical correlates of aesthetic preference for paintings. NeuroReport 15, 893–897 (2004)CrossRef
25.
Kirk, U., Skov, M., Christensen, M.S., Nygaard, N.: Brain correlates of aesthetic expertise: a parametric fMRI study. Brain Cogn. 69, 306–315 (2009)CrossRef
26.
Kawabata, H.: Neural correlates of beauty. J. Neurophysiol. 91, 1699–1705 (2004)CrossRef
27.
Cupchik, G.C., Vartanian, O., Crawley, A., Mikulis, D.J.: Viewing artworks: contributions of cognitive control and perceptual facilitation to aesthetic experience. Brain Cogn. 70, 84–91 (2009)CrossRef
28.
Cela-Conde, C.J., Agnati, L., Huston, J.P., Mora, F., Nadal, M.: The neural foundations of aesthetic appreciation. Prog. Neurobiol. 94, 39–48 (2011)CrossRef
29.
Pecina, S., Smith, K.S., Berridge, K.C.: Hedonic hot spots in the brain. Neuroscientist 12, 500–511 (2006)CrossRef
30.
Kang, M.J., Rangel, A., Camus, M., Camerer, C.F.: Hypothetical and real choice differentially activate common valuation areas. J. Neurosci. 31, 461–468 (2011)CrossRef
31.
Christie, M.J.: Electrodermal activity in the 1980s: a review. J. R. Soc. Med. 74, 616 (1981)
32.
Carbon, C.C., Michael, L., Leder, H.: Design evaluation by combination of repeated evaluation technique and measurement of electrodermal activity. Res. Eng. Des. 19, 143–149 (2008)CrossRef
33.
Cacioppo, J.T., Petty, R.E., Losch, M.E., Kim, H.S.: Electromyographic activity over facial muscle regions can differentiate the valence and intensity of affective reactions. J. Pers. Soc. Psychol. 50, 260–268 (1986)CrossRef
34.
Winkielman, P., Cacioppo, J.T.: Mind at ease puts a smile on the face: psychophysiological evidence that processing facilitation elicits positive affect. J. Pers. Soc. Psychol. 81, 989–1000 (2001)CrossRef
35.
van Boxtel, A.: Facial EMG as a tool for inferring affective states. In: Proceedings of Measuring Behavior 2010, pp. 104–108, Eindhoven, The Netherlands (2010)
36.
Larsen, J.T., Norris, J.I.: A facial electromyographic investigation of affective contrast. Psychophysiology 46, 831–842 (2009)CrossRef
37.
Neta, M., Norris, C.J., Whalen, P.J.: Corrugator muscle responses are associated with individual differences in positivity-negativity bias. Emotion 9, 640–648 (2009)CrossRef
38.
Zhou, R., Hu, S.: Effects of viewing pleasant and unpleasant photographs on facial EMG asymmetry. Percept. Mot. Skills 99, 1157–1167 (2004)
39.
Soussignan, R., Schaal, B., Rigaud, D., Royet, J.-P., Jiang, T.: Hedonic reactivity to visual and olfactory cues: rapid facial electromyographic reactions are altered in anorexia nervosa. Biol. Psychol. 86, 265–272 (2011)CrossRef
40.
De Tommaso, M., Pecoraro, C., Sardaro, M., Serpino, C., Lancioni, G., Livrea, P.: Influence of aesthetic perception on visual event-related potentials. Conscious. Cogn. 17, 933–945 (2008)CrossRef
41.
Scholkmann, F., Wolf, M.: Measuring brain activity using functional near infrared spectroscopy: a short review. Spectroscopy Europe, 22 Aug 2012
42.
Jobsis, F.F.: Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science 198, 1264–1267 (1977)CrossRef
43.
Misawa, T., Shimokawa, T., Hirobayashi, S.: Possibility for predicting the evaluation of product price in the prefrontal cortex: a NIRS study. Int. J. Eng. Innov. Technol. 4, 153–160 (2014)
44.
Kreplin, U., Fairclough, S.H.: Activation of the rostromedial prefrontal cortex during the experience of positive emotion in the context of esthetic experience. An fNIRS study. Front. Hum. Neurosci. 7, 1–7 (2013)
45.
Jacobsen, T., Hoefel, L.: Descriptive and evaluative judgment processes: an event-related brain potential analysis of processing symmetry and aesthetics. J. Cogn. Neurosci. 4, 289–299 (2000)
46.
Höfel, L., Jacobsen, T.: Electrophysiological indices of processing aesthetics: spontaneous or intentional processes? Int. J. Psychophysiol. 65, 20–31 (2007)CrossRef
47.
Roye, A., Höfel, L., Jacobsen, T.: Aesthetics of faces. J. Psychophysiol. 22, 41–57 (2008)CrossRef
48.
Bentin, S., Allison, T., Puce, A., Perez, E., McCarthy, G.: Electrophysiological studies of face perception in humans. J. Cogn. Neurosci. 8, 551–565 (1996)CrossRef
49.
Oliver-Rodriguez, J.C., Guan, Z., Johnston, V.S.: Gender differences in late positive components evoked by human faces. Psychophysiology 36, 176–185 (1999)CrossRef
50.
Ishizu, T., Zeki, S.: Toward a brain-based theory of beauty. PLoS One 6, 1–10 (2011)
51.
Vecchiato, G., Toppi, J., Astolfi, L., De Vico Fallani, F., Cincotti, F., Bez, D., Mattia, F., Babiloni, F.: Spectral EEG frontal asymmetries correlate with the experienced pleasantness of TV commercial advertisements. Med. Biol. Eng. Comput. 49, 579–583 (2011)CrossRef
52.
Thakral, P.P., Moo, L.R., Slotnick, S.D.: A neural mechanism for aesthetic experience. NeuroReport 23, 310–313 (2012)CrossRef
53.
Figner, B., Murphy, R.O.: Using skin conductance in judgment and decision making research. In: Schulte-Mecklenbeck, M., Kuehberger, A., Ranyard, R. (eds.) A Handbook of Process Tracing Methods for Decision Research, pp. 163–184. Psychology Press, New York (2011)
54.
Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39, 1161–1178 (1980)CrossRef
55.
Berlyne, D.E.E.: Studies in the new Experimental Aesthetics: Steps Toward an Objective Psychology of Aesthetic Appreciation. Hemisphere Publishing, Washington (1974)
56.
Perlman, S.B., Luna, B., Hein, T.C., Huppert, T.J.: fNIRS evidence of prefrontal regulation of frustration in early childhood. NeuroImage 85, 326–334 (2014)CrossRef
57.
Suda, M., Uehara, T., Fukuda, M., Sato, T., Kameyama, M., Mikuni, M.: Dieting tendency and eating behavior problems in eating disorder correlate with right frontotemporal and left orbitofrontal cortex: a near-infrared spectroscopy study. J. Psychiatr. Res. 44, 547–555 (2010)CrossRef
Metadaten
Titel
Measuring Appeal in Human Computer Interaction: A Cognitive Neuroscience-Based Approach
verfasst von
Tillmann Neben
Bo Sophia Xiao
Erik Lim
Chee-Wee Tan
Armin Heinzl
Copyright-Jahr
2015
Buch
Information Systems and Neuroscience

Print ISBN: 978-3-319-18701-3

Electronic ISBN: 978-3-319-18702-0

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-18702-0_20

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