A Meta-Analysis of Human Personality and Robot Acceptance in Human-RobotInteraction

要旨

Human personality has been identified as a predictor of robot acceptance in the human–robot interaction (HRI) literature. Despite this,the HRI literature has provided mixed support for this assertion. To better understand the relationship between human personality and robot acceptance, this paper conducts a meta-analysis of 26 studies. Results found a positive relationship between human personality and robot acceptance. However, this relationship varied greatly by the specific personality trait along with the study sample’s age,gender diversity, task, and global region. This meta-analysis also identified gaps in the literature. Namely, additional studies are needed that investigate both the big five personality traits and other personality traits, examine a more diverse age range, and utilize samples from previously unexamined regions of the globe.

著者
Connor Esterwood
University of Michigan, Ann Arbor, Michigan, United States
Kyle Essenmacher
University of Michigan, Ann Arbor, Michigan, United States
Han Yang
University of Michigan, Ann Arbor, Michigan, United States
Fanpan Zeng
University of Michigan, Ann Arbor, Michigan, United States
Lionel Peter. Robert
University of Michigan, Ann Arbor, Michigan, United States
DOI

10.1145/3411764.3445542

論文URL

https://doi.org/10.1145/3411764.3445542

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Smart Home, Bot, Robot, & Drone / Input & Measurement

[A] Paper Room 14, 2021-05-12 17:00:00~2021-05-12 19:00:00 / [B] Paper Room 14, 2021-05-13 01:00:00~2021-05-13 03:00:00 / [C] Paper Room 14, 2021-05-13 09:00:00~2021-05-13 11:00:00
Paper Room 14
11 件の発表
2021-05-12 17:00:00
2021-05-12 19:00:00
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