research-article

Implicit Shopping Intention Recognition with Eye Tracking Data and Response Time

Authors:

Soo-Young LeeAuthors Info & Claims

HAI '15: Proceedings of the 3rd International Conference on Human-Agent Interaction

Pages 295 - 298

https://doi.org/10.1145/2814940.2815001

Published: 21 October 2015 Publication History

Abstract

Implicit intention is the intention that is not expressed externally but having in one's mind. Implicit intention is difficult to be recognized, but it can be significant information if it is recognized with some measures. When people buy something, they also have implicit intention in their mind, whether I buy this or not. We proposed an experimental paradigm to recognize shopper's implicit intention, and the result of experiment was analyzed in this paper. On the experiment, subjects were instructed to select items to buy from the candidates, and eye-tracking and speech data were recorded during the selection. On data analysis, measures discriminating the existence of implicit shopping intention were selected and compared. From the result, fixation duration, fixation count, multiplication of first fixation duration, and visit count showed different tendency between two cases: when people have intention to buy it and when people do not have. By using this standards, implicit shopping intention of people can be recognized.

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Cited By

Ma JGuo XZhao X(2022)Identifying purchase intention through deep learning: analyzing the Q &D text of an E-Commerce platformAnnals of Operations Research10.1007/s10479-022-04834-w339:1-2(329-348)Online publication date: 1-Jul-2022
https://doi.org/10.1007/s10479-022-04834-w
Pi ZZhang YZhu FChen LGuo XYang J(2021)The mutual influence of an instructor’s eye gaze and facial expression in video lecturesInteractive Learning Environments10.1080/10494820.2021.194021331:6(3664-3681)Online publication date: 13-Jun-2021
https://doi.org/10.1080/10494820.2021.1940213
Cheng SWei QKoike HRatti CTakeuchi YFukuchi KScott SPlasencia D(2018)Design Preferred Aesthetic User Interface with Eye Movement and Electroencephalography DataProceedings of the 2018 ACM Companion International Conference on Interactive Surfaces and Spaces10.1145/3280295.3281748(39-45)Online publication date: 19-Nov-2018
https://dl.acm.org/doi/10.1145/3280295.3281748

Index Terms

Implicit Shopping Intention Recognition with Eye Tracking Data and Response Time
1. Human-centered computing

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cover image ACM Other conferences

HAI '15: Proceedings of the 3rd International Conference on Human-Agent Interaction

October 2015

254 pages

ISBN:9781450335270

DOI:10.1145/2814940

General Chairs:
Minho Lee
Kyungpook National University, Korea
,
Takashi Omori
Tamagawa University, Japan
,
Program Chairs:
Hirotaka Osawa
University of Tsukuba, Japan
,
Hyeyoung Park
Kyungpook National University, Korea
,
James Young
University of Manitoba, Canada

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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BESK: Brain Engineering Society of Korea

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 October 2015

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HAI 2015

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BESK

HAI 2015: The Third International Conference on Human-Agent Interaction

October 21 - 24, 2015

Kyungpook, Daegu, Republic of Korea

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Cited By

Ma JGuo XZhao X(2022)Identifying purchase intention through deep learning: analyzing the Q &D text of an E-Commerce platformAnnals of Operations Research10.1007/s10479-022-04834-w339:1-2(329-348)Online publication date: 1-Jul-2022
https://doi.org/10.1007/s10479-022-04834-w
Pi ZZhang YZhu FChen LGuo XYang J(2021)The mutual influence of an instructor’s eye gaze and facial expression in video lecturesInteractive Learning Environments10.1080/10494820.2021.194021331:6(3664-3681)Online publication date: 13-Jun-2021
https://doi.org/10.1080/10494820.2021.1940213
Cheng SWei QKoike HRatti CTakeuchi YFukuchi KScott SPlasencia D(2018)Design Preferred Aesthetic User Interface with Eye Movement and Electroencephalography DataProceedings of the 2018 ACM Companion International Conference on Interactive Surfaces and Spaces10.1145/3280295.3281748(39-45)Online publication date: 19-Nov-2018
https://dl.acm.org/doi/10.1145/3280295.3281748

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