Is a Video Worth More Than a Thousand Images? A Neurophysiological Study on the Impact of Different Types of Product Display on Consumer Behaviour in.

  1. Jesús García-Madariaga 1
  2. Ingrit Moya
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Libro:
Martínez-López, F.J, and Martinez, L.F. e-Commerce in Advances in Digital Marketing and eCommerce,

Editorial: Third International Conference

ISBN: 978-3-031-05728-1

Año de publicación: 2022

Páginas: 300-306

Tipo: Capítulo de Libro

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Resumen

Considering the importance of e-commerce in the global market, git is essential to delve into how consumers make decisions in the e-commerce environment. Until now, countless research has looked at different aspects of consumer behaviour in different types of e-commerce. However, most of those studies have been developed based on declarative techniques, which are inevitably limited to bias, subjective considerations or even to memory-based choice (Hsu 2017) and neuroscientific techniques have been rarely applied to the study of the e-commerce environment.Given this gap, the aim of this research is to assess consumer neurophysiological responses to different product display formats used in the e-commerce environment. To achieve it, 72 participants (36W–36M) between 18–29 years old were exposed to 36 stimuli according to three types of product display (product image, image of product in use and 360° video) in an unknown fashion e-commerce, while their unconscious reactions were recorded with an electroencephalogram (EEG) and galvanic skin response (GSR). After the exposure, the participants were asked about their attitude towards each format, preferences, and purchase intention.The declarative results showed a better attitude towards the more interactive format, but the preferences and purchase intention of participants did not correlate with the display format. Implicit results showed greater emotional activation and positive valence for images of the product in use and, although there are no significant differences in the EEG cognitive load among the three formats, the EEG engagement index appears to be correlated to the visual simplicity of the product display.

Referencias bibliográficas

  • Algharabat, R., Alalwan, A.A., Rana, N.P., Dwivedi, Y.K.: Three-dimensional product presentation quality antecedents and their consequences for online retailers: the moderating role of virtual product experience. J. Retail. Consum. Serv. 36, 203–217 (2017)
  • Anderson, E., Potter, K., Matzen, L., Shepherd, J., Preston, G., Silva, C.: A user study of visualization effectiveness using EEG and cognitive load. Comput. Graph. Forum 30, 791–800 (2011)
  • Berka, C., et al.: EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviat. Space, Environ. Med. 78(5), B231–B244 (2007). Comprehension and Interest. JCAL 23(3)
  • Choi, Y., Yoon, S., Kim, K., Kim, Y.: Text versus pictures in advertising: effects of psychological distance and product type reference. Int. J. Advert. 38(4), 528–543 (2019)
  • Choi, Y., Taylor, R.C.: How do 3 dimensional images products on the Internet? J. Bus. Res. 67(10), 2164–2170 (2014)
  • Euromonitor International: E-commerce to Account for Half the Growth in Global Retail by 2025 (2021). https://www.euromonitor.com/article/e-commerce-to-account-for-half-the-growth-in-global-retail-by-2025. Accessed March 2022
  • Faraday, P.: Visually critiquing web pages. In: Correia, N., Chambel, T., Davenport, G. (eds.) Multimedia 1999. Eurographics, pp. 155–166. Springer, Vienna (2000). https://doi.org/10.1007/978-3-7091-6771-7_17
  • Fiore, A.M., Jin, H.: Influence of image interactivity on approach responses towards an online retailer. Internet Res. 13(1), 38–48 (2003). https://doi.org/10.1108/10662240310458369
  • Flavian, C., Gurrea, R., Orus, C.: The influence of online product presentation video on persuasion and purchase channel preference: the role of imagery fluency and need for touch. Telematics Inf. 34(8), 1544–1556 (2017)
  • García-Madariaga, J., López, M.F., Moya, I., Recuero, N.: Do isolated packaging variables influence consumers’ attention and preferences? Physiol. Behav. 200, 96–103 (2019)
  • Hong, W., Thong, J.Y., Tam, K.Y.: Does animation attract online users’ attention? The effects of flash on information search performance and perceptions. Inf. Syst. Res. 15(1), 60–86 (2004)
  • Hsu, M.: Neuromarketing: inside the mind of the consumer. Calif. Manag. Rev. 59(4), 5–22 (2017)
  • Hu, X., Wise, K.: Perceived control or haptic sensation? Exploring the effect of image interactivity on consumer responses to online product displays. J. Interact. Advert. 20(1), 60–75 (2020)
  • Jiang, Z., Benbasat, I.: The effects of presentation formats and task complexity on online consumers’ product understanding. Mis Q. 31, 475–500 (2007)
  • Junaini, S. N., Sidi, J.: Improving product display of the e-commerce website through aesthetics, attractiveness and interactivity. In: CITA, pp. 23–27 (2005) Google Scholar
  • Kim, S., Baek, T.H., Yoon, S.: The effect of 360º rotatable product images on purchase intention. J. Retail. Consum. Serv. 55, 102062 (2020)
  • Kim, S., Yoon, M., Whang, S.M., Tversky, B., Morrison, J.B.: The effect of animation on (2007)
  • Lee, W., Benbasat, I.: Designing an electronic commerce interface: attention and product memory as elicited by web design. Electron. Commer. Res. Appl. 2(3), 240–253 (2003)
  • Li, M., Wei, K.-K., Tayi, G.K., Tan, C.-H.: The moderating role of information load on online product presentation. Inf. Manage. 53(4), 467–480 (2016)
  • Lim, E., Tan, C.W., Seo, D., Cyr, D., de Vries, K.: An empirical investigation of the impact of online product presentation on hedonic web shopping. In: Special Interest Group on Human Computer Interaction (SIGHCI), Milan (2013)
  • Novemsky, N., Dhar, R., Schwarz, N., Simonson, I.: Preference fluency in choice. J. Mark. Res. 44(3), 347–356 (2007)
  • Nuamah, J., Seong, Y.: Support vector machine (SVM) classification of cognitive tasks based on electroencephalography (EEG) engagement index. Brain- Comput. Interfaces 5(1), 1–12 (2017)
  • Oh, S., Yoon, S., Vargas, P.: “In-depth” incidental exposure: how processing difficulty and processing style affect evaluations of transparent overlay images. Eur. J. Market. 53(2), 279–298 (2019)
  • Putri, K.D., Balqiah, T.E.: Do web atmospherics affect purchase intention? The role of color and product display. J. Manage. Mark. Rev. 2(2), 79–86 (2017)
  • Rodrigues, L., Costa, C., Oliveira, A.: How does the web game design influence the behavior of e-banking users? Comput. Hum. Behav. 74, 163–174 (2017)
  • Semerádová, T., Weinlich, P.: Website Quality and Shopping Behavior: Quantitative and Qualitative Evidence. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-44440-2
  • UNCTAD: Estimates of global e-commerce 2019 and preliminary assessment of COVID-19 impact on online retail 2020. ICT Policy Section. Division on Technology and Logistics (2021)
  • Vi, C.T., et al.: D-FLIP: dynamic and flexible interactive photoshow. In: Reidsma, D., Katayose, H., Nijholt, A. (eds.) ACE 2013. LNCS, vol. 8253, pp. 415–427. Springer, Cham (2013). https://doi.org/10.1007/978-3-319-03161-3_31
  • Xu, D.: The influence of product information display on purchase intention. In: 2021 5th International Conference on E-Business and Internet, pp. 29–32 (2021)
  • Xu, P., Chen, L., Santhanam, R.: Will video be the next generation of e-commerce product reviews? Presentation format and the role of product type. Decis. Support Syst. 73, 85–96 (2015)
  • Zhang, T., Zhang, J., Huo, C., Ren, W.: Automatic generation of pattern-controlled product description in e-commerce. In: The World Wide Web Conference, pp. 2355–2365 (2019)
  • Ziamou, P.: Commercializing new technologies: consumers’ response to a new interface. J. Prod. Innov. Manage. Int. Publ. Prod. Dev. Manage. Assoc. 19(5), 365–374 (2002)