COGNITIVE AND AFFECTIVE PREFERENCE OF VISUAL INFORMATION REGARDING GENDER AND LEVEL OF RESEMBLANCE OF HUMAN

Published 31 Mar 2019 •  vol 124  • 


Authors:

 

Youngsang Kim, Graduate School of Information, Yonsei University, Seoul, Korea
Bong Gyou Lee, Graduate School of Information, Yonsei University, Seoul, Korea
Hoonsik Yoo, Convergence Business, Department of Newmedia, Seoul Media Institute of Technology (SMIT), Seoul, Korea

Abstract:

 

This research analyzes people’s preferences regarding gender and level of resemblance in intelligent agents (human or companion animal forms). According to the analysis, the preferences over intelligent agent’s dependent on the users’ demographical characteristics (age group, gender), frequencies of driving, and uses of cars. All users of both age groups (20’s and 30’s) responded they prefer female intelligent agents, showing that, overall, users preferred female intelligent agents. Also, users in their 30’s preferred anthropomorphic agents more so than the users in their 20’s. Users responded that they drove every day or drove 5 to 6 times a week preferred anthropomorphic agents the most compared to other users. Furthermore, female users preferred anthropomorphic agents more than male users. Lastly, users who use their cars to drive to and back from work or school preferred anthropomorphic agents the most. These analyses show that there are some significant differences between different groups of various characteristics.

Keywords:

 

Intelligent Agents, Visual Preference, Companion Animal Intelligent Agents, Age Groups

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Citations:

 

APA:
Kim, Y., Lee, B. G., & Yoo, H. (2019). Cognitive and Affective Preference of Visual Information Regarding Gender and Level of Resemblance of Human. International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 124, 47-58. doi: 10.33832/ijast.2019.124.04.

MLA:
Kim, Youngsang, et al. “Cognitive and Affective Preference of Visual Information Regarding Gender and Level of Resemblance of Human.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 124, 2019, pp. 47-58. IJAST, http://article.nadiapub.com/IJAST/Vol124/4.html.

IEEE:
[1] Y. Kim, B. G. Lee and H. Yoo, “Cognitive and Affective Preference of Visual Information Regarding Gender and Level of Resemblance of Human.” International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 124, pp. 47-58, Mar. 2019.