DocumentCode
2581260
Title
Determining the Effect of Personality Types on Human-Agent Interactions
Author
Hongying Du ; Huhns, Michael N.
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of South Carolina, Columbia, SC, USA
Volume
2
fYear
2013
fDate
17-20 Nov. 2013
Firstpage
239
Lastpage
244
Abstract
Because of the large number of agents and robots beginning to affect everyday life of humans, it is important to understand how humans would treat agents in a mixed human-agent society. In this paper, we are trying to find answers to two questions: whether humans possess different attitudes towards other humans and agents, and whether the personality type of a human influences his/her decisions and how. To investigate these problems, first we use the Keirsey Temperament Sorter-II (KTS-II) to discover the personality types of our human participants. Then each participant plays the "Who Gets More Cake?" game three times, with a simulated human and an agent as opponents. The experimental results are shown in two aspects: the tendency aspect and the consistency aspect. It is shown that humans treat other humans and agents differently and humans with different KTS-II temperaments behave differently on the above two aspects. It is very possible that the Thinking-Feeling dichotomy of Myers-Briggs Type Indicator (MBTI) and the tendency results are not independent. Also, there is a correlation between the Extraversion-Introversion dichotomy and the consistency results.
Keywords
game theory; human factors; human-robot interaction; Keirsey temperament sorter-II; Myers-Briggs type indicator; consistency aspect; extraversion-introversion dichotomy; human attitudes; human decisions; human-agent interactions; mixed human-agent society; personality types; tendency aspect; thinking-feeling dichotomy; Atmospheric measurements; Frequency measurement; Games; Particle measurements; Robots; Sensors; Size measurement; Human Behavior; Human-Agent Interactions; Keirsey Temperament Sorter-II; Personality Types;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4799-2902-3
Type
conf
DOI
10.1109/WI-IAT.2013.115
Filename
6690795
Link To Document