Identifying customer preferences through the eye-tracking in travel websites focusing on neuromarketing

被引:0
|
作者
Kim, Ju Yeon [1 ]
Kim, Mi Jeong [2 ]
机构
[1] Soongsil Univ, Sch Architecture, Seoul, South Korea
[2] Hanyang Univ, Sch Architecture, 222 Wangsimni Ro, Seoul 04763, South Korea
基金
新加坡国家研究基金会;
关键词
Neuromarketing; visual attention; customer preference; area of interest (AOI); eye-tracking;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The psychology of people and behavior associated with decision-making can be analyzed by examining their visual attention to products based on the introduction of neuromarketing at the intersection of neuroscience and marketing. This study aims to identify factors affecting consumers' decision-making on travel products by investigating their preferences and areas of interest via online vacation booking sites. In this experimental study, eye-tracking was measured on 30 male participants in the age of forties, and data on their gazes in response to stimuli were extracted and compared with their choices in the questionnaire survey. The study addresses the following research question: "On what areas of customer preference can visual attention be deemed an influence?" Whether changes to the visual information about spatial products influence product preferences and decision-making was investigated. As a result of analyzing the region of interest in the eye-tracking according to the order of space preference, the preference rate for image 3 (M = 782.65) containing the outdoor space was the highest, followed by furniture and web information. Regarding the initial concentration, among the flow of time, the fastest concentration started at stimuli 2 (4.21s), but the time when concentration increased was at stimuli 3 (16.28s). Visual perception data were analyzed as a verification process for determining the time difference in the concentration of gaze movements according to personal preference. The correlation between the questionnaire survey, reflecting consumers' conscious preferences, and the data of gaze movements, showing unconscious decision-making, was analyzed.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Increasing the Economic Value from Digitalisation through Eye-tracking
    Bluhm, Juergen
    Rudolph, Dirk W.
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMPUTER-HUMAN INTERACTION RESEARCH AND APPLICATIONS (CHIRA), 2019, : 199 - 205
  • [32] Immersion analysis through eye-tracking and audio in virtual reality
    Lee, Jihoon
    Moon, Nammee
    Moon, Nammee (nammee.moon@gmail.com), 1600, Tech Science Press (69): : 647 - 660
  • [33] Supervised EEG Ocular Artefact Correction Through Eye-Tracking
    Lourenco, P. Rente
    Abbott, W. W.
    Faisal, A. Aldo
    ADVANCES IN NEUROTECHNOLOGY, ELECTRONICS AND INFORMATICS, 2016, 12 : 99 - 113
  • [34] Gaze Behaviour Analysis of Medicine Labels through Eye-tracking
    Pushkar, Vinayak
    INDIAHCI'18: PROCEEDINGS OF THE 9TH INDIAN CONFERENCE ON HUMAN COMPUTER INTERACTION, 2018, : 75 - 79
  • [35] Navigation Through Eye-Tracking for Human-Computer Interface
    Pavani, M. Lakshmi
    Prakash, A. V. Bhanu
    Koushik, M. S. Shwetha
    Amudha, J.
    Jyotsna, C.
    INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS, ICTIS 2018, VOL 2, 2019, 107 : 575 - 586
  • [36] Through Teachers' Eyes: An Eye-Tracking Study of Classroom Interactions
    Sokolova, Lenka
    Lemesova, Miroslava
    Hlavac, Patrik
    Harvanova, Silvia
    SODOBNA PEDAGOGIKA-JOURNAL OF CONTEMPORARY EDUCATIONAL STUDIES, 2022, 73 (04): : 127 - 145
  • [37] Immersion Analysis Through Eye-Tracking and Audio in Virtual Reality
    Lee, Jihoon
    Moon, Nammee
    CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 69 (01): : 647 - 660
  • [38] EnhancedWayfinding Insights through Eye-Tracking Analysis in Virtual Reality
    Mulvany, Gerard
    Hayes, Christian
    Kocaturk, Tuba
    Duckett, Victoria
    Hoang, Thuong
    Greuter, Stefan
    30TH ACM SYMPOSIUM ON VIRTUAL REALITY SOFTWARE AND TECHNOLOGY, VRST 2024, 2024,
  • [39] Combining eye-tracking technologies with web usage mining for identifying Website Keyobjects
    Velasquez, Juan P.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2013, 26 (5-6) : 1469 - 1478
  • [40] What Is behind In-Stream Advertising on YouTube? A Remote Neuromarketing Study employing Eye-Tracking and Facial Coding techniques
    Mancini, Marco
    Cherubino, Patrizia
    Martinez, Ana
    Vozzi, Alessia
    Menicocci, Stefano
    Ferrara, Silvia
    Giorgi, Andrea
    Arico, Pietro
    Trettel, Arianna
    Babiloni, Fabio
    BRAIN SCIENCES, 2023, 13 (10)