Neural Correlates of Purchasing Decisions in an Ecologically Plausible Shopping Scenario with Mobile fNIR Technology


ÇAKIR M. P., Cakar T., Girisken Y., Demircioglu A. K.

10th International Conference on Augmented Cognition (AC) Held as Part of 18th International Conference on Human-Computer Interaction (HIC International), Toronto, Kanada, 17 - 22 Temmuz 2016, cilt.9743, ss.135-146 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 9743
  • Doi Numarası: 10.1007/978-3-319-39955-3_13
  • Basıldığı Şehir: Toronto
  • Basıldığı Ülke: Kanada
  • Sayfa Sayıları: ss.135-146
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

In this paper we present our preliminary findings for the neural correlates of purchasing decisions made in a computerized setting as well as in an ecologically plausible supermarket environment. Participants who were randomly recruited from a database of typical customers maintained by a marketing consultancy company were given a specific budget and asked to make purchasing decisions for basic grocery items in two separate conditions. In the first condition, participants made their decisions in a computerized scenario, where in each trial a single product and its price were displayed for a fixed duration of time, and then the participants clicked on buttons to specify which products they wish to purchase. In the second experiment, participants made similar purchasing decisions while wandering around a custom-made grocery aisle with shelves including physical products. In both conditions participants' brain activities in their prefrontal cortices as well as their eye movements were recorded with a wireless fNIR device and a glass eye tracker respectively. In both conditions we observed higher mean oxygenation levels for the purchase decisions at the left dorso-medial prefrontal cortex. Despite the limited sample size, the oxygenation trends were similar in both purchasing situations. Our preliminary findings suggest that fNIR can effectively be employed to investigate neural correlates of purchasing behavior in ecological settings.