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Product Images Attracting Attention : Eye-tracking Analysis

원문정보

초록

영어
This study examined the impact of various product photo features on the attention of potential consumers in online apparel retailers’ environment. Recently, the method of apparel’s product photo representation in online shopping stores has been changed a lot from the classic product photos in the early days. In order to investigate if this shift is effective in attracting consumers' attention, we examined the related theory and verified its effect through laboratory experiments. In particular, experiment data was collected and analyzed using eye tracking technology. According to the results of this study, it was shown that the product photos with asymmetry are more attractive than symmetrical photos, well emphasized object within a photo more attractive than partially emphasized, smiling faces are more attractive for customer than emotionless and sad, and photos with uncentered models focus more consumer’s attention than photos with model in the center. These results are expected to help design internet shopping stores to gaze more customers’ attention.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Review and Hypothesis Development
2.1. Attention
2.2. Photo Features
2.3. Interaction
Ⅲ. Method
3.1. Materials
3.2. Procedure
Ⅳ. Data Analysis
4.1. ANOVA
4.2. Logistic Regression
Ⅴ. Discussion and Conclusion
Acknowledgement


저자

  • Pavel Shin [ Master Graduate, School of Business, Yonsei University, Korea ]
  • Kil-Soo Suh [ Professor, School of Business, Yonsei University, Korea ] Corresponding author
  • Hyunjeong Kang [ Associate Professor, College of Business Administration, Hongik University, Korea ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      Asia Pacific Journal of Information Systems
    • 간기
      계간
    • pISSN
      2288-5404
    • eISSN
      2288-6818
    • 수록기간
      1990~2026
    • 등재여부
      KCI 등재,SCOPUS
    • 십진분류
      KDC 325 DDC 658