How social distance shapes human-robot interaction

Cited 68 time in webofscience Cited 64 time in scopus
  • Hit : 332
  • Download : 0
This paper investigates how social distance can serve as a lens through which we can understand human-robot relationships and develop guidelines for robot design. In two studies, we examine the effects of distance based on physical proximity (proxemic distance), organizational status (power distance), and task structure (task distance) on people's experiences with and perceptions of a humanlike robot. In Study 1, participants (n=32) played a card-matching game with a humanlike robot. We manipulated the power distance (supervisor vs. subordinate) and proxemic distance (close vs. distant) between participants and the robot. Participants who interacted with the supervisor robot reported a more positive user experience when the robot was close than when the robot was distant, while interactions with the subordinate robot resulted in a more positive experience when the robot was distant than when the robot was close. In Study 2, participants (n=32) played the game in two different task distances (cooperation vs. competition) and proxemic distances (close vs. distant). Participants who cooperated with the robot reported a more positive experience when the robot was distant than when it was close. In contrast, competing with the robot resulted in a more positive experience when it was close than when the robot was distant. The findings from the two studies highlight the importance of consistency between the status and proxemic behaviors of the robot and of task interdependency in fostering cooperation between the robot and its users. This work also demonstrates how social distance may guide efforts toward a better understanding of human-robot interaction and the development of effective design guidelines.
Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Issue Date
2014-12
Language
English
Article Type
Article
Keywords

NONVERBAL BEHAVIOR; PERFORMANCE; ACCEPTANCE; MOTIVATION; JOB; METAANALYSIS; ENVIRONMENT; COMPETITION; TECHNOLOGY; ATTITUDES

Citation

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, v.72, no.12, pp.783 - 795

ISSN
1071-5819
DOI
10.1016/j.ijhcs.2014.05.005
URI
http://hdl.handle.net/10203/201117
Appears in Collection
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 68 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0