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http://dx.doi.org/10.13088/jiis.2022.28.1.243

A Study on the Mechanism of Social Robot Attitude Formation through Consumer Gaze Analysis: Focusing on the Robot's Face  

Ha, Sangjip (Graduate School of Business IT, Kookmin University)
Yi, Eunju (Graduate School of Business IT, Kookmin University)
Yoo, In-jin (Graduate School of Business IT, Kookmin University)
Park, Do-Hyung (Graduate School of Business IT/School of Management Information Systems, Kookmin University)
Publication Information
Journal of Intelligence and Information Systems / v.28, no.1, 2022 , pp. 243-262 More about this Journal
Abstract
In this study, eye tracking was used for the appearance of the robot during the social robot design study. During the research, each part of the social robot was designated as AOI (Areas of Interests), and the user's attitude was measured through a design evaluation questionnaire to construct a design research model of the social robot. The data used in this study are Fixation, First Visit, Total Viewed, and Revisits as eye tracking indicators, and AOI (Areas of Interests) was designed with the face, eyes, lips, and body of the social robot. And as design evaluation questionnaire questions, consumer beliefs such as Face-highlighted, Human-like, and Expressive of social robots were collected and as a dependent variable was attitude toward robots. Through this, we tried to discover the mechanism that specifically forms the user's attitude toward the robot, and to discover specific insights that can be referenced when designing the robot.
Keywords
Social Robot; Gaze Analysis; Eye Tracking; Robot Design; Attitude Formation;
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Times Cited By KSCI : 2  (Citation Analysis)
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