Confronting barriers to human-robot cooperation: balancing efficiency and risk in machine behavior

Summary: Many technical and psychological challenges make it difficult to design machines that effectively cooperate with people. To better understand these challenges, we conducted a series of studies investigating human-human, robot-robot, and human-robot cooperation in a strategically rich resour...

Full description

Bibliographic Details
Main Authors: Tim Whiting, Alvika Gautam, Jacob Tye, Michael Simmons, Jordan Henstrom, Mayada Oudah, Jacob W. Crandall
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:iScience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004220311603
_version_ 1818393156890132480
author Tim Whiting
Alvika Gautam
Jacob Tye
Michael Simmons
Jordan Henstrom
Mayada Oudah
Jacob W. Crandall
author_facet Tim Whiting
Alvika Gautam
Jacob Tye
Michael Simmons
Jordan Henstrom
Mayada Oudah
Jacob W. Crandall
author_sort Tim Whiting
collection DOAJ
description Summary: Many technical and psychological challenges make it difficult to design machines that effectively cooperate with people. To better understand these challenges, we conducted a series of studies investigating human-human, robot-robot, and human-robot cooperation in a strategically rich resource-sharing scenario, which required players to balance efficiency, fairness, and risk. In these studies, both human-human and robot-robot dyads typically learned efficient and risky cooperative solutions when they could communicate. In the absence of communication, robot dyads still often learned the same efficient solution, but human dyads achieved a less efficient (less risky) form of cooperation. This difference in how people and machines treat risk appeared to discourage human-robot cooperation, as human-robot dyads frequently failed to cooperate without communication. These results indicate that machine behavior should better align with human behavior, promoting efficiency while simultaneously considering human tendencies toward risk and fairness.
first_indexed 2024-12-14T05:40:50Z
format Article
id doaj.art-b50a372e8a4c44eb827f86ff7f3e64eb
institution Directory Open Access Journal
issn 2589-0042
language English
last_indexed 2024-12-14T05:40:50Z
publishDate 2021-01-01
publisher Elsevier
record_format Article
series iScience
spelling doaj.art-b50a372e8a4c44eb827f86ff7f3e64eb2022-12-21T23:15:01ZengElsevieriScience2589-00422021-01-01241101963Confronting barriers to human-robot cooperation: balancing efficiency and risk in machine behaviorTim Whiting0Alvika Gautam1Jacob Tye2Michael Simmons3Jordan Henstrom4Mayada Oudah5Jacob W. Crandall6Brigham Young University, Provo, UT 84602, USABrigham Young University, Provo, UT 84602, USABrigham Young University, Provo, UT 84602, USABrigham Young University, Provo, UT 84602, USAOregon State University, Corvallis, OR 97331, USANew York University Abu Dhabi, Abu Dhabi, UAEBrigham Young University, Provo, UT 84602, USA; Corresponding authorSummary: Many technical and psychological challenges make it difficult to design machines that effectively cooperate with people. To better understand these challenges, we conducted a series of studies investigating human-human, robot-robot, and human-robot cooperation in a strategically rich resource-sharing scenario, which required players to balance efficiency, fairness, and risk. In these studies, both human-human and robot-robot dyads typically learned efficient and risky cooperative solutions when they could communicate. In the absence of communication, robot dyads still often learned the same efficient solution, but human dyads achieved a less efficient (less risky) form of cooperation. This difference in how people and machines treat risk appeared to discourage human-robot cooperation, as human-robot dyads frequently failed to cooperate without communication. These results indicate that machine behavior should better align with human behavior, promoting efficiency while simultaneously considering human tendencies toward risk and fairness.http://www.sciencedirect.com/science/article/pii/S2589004220311603Human-Computer InteractionSocial SciencesPsychology
spellingShingle Tim Whiting
Alvika Gautam
Jacob Tye
Michael Simmons
Jordan Henstrom
Mayada Oudah
Jacob W. Crandall
Confronting barriers to human-robot cooperation: balancing efficiency and risk in machine behavior
iScience
Human-Computer Interaction
Social Sciences
Psychology
title Confronting barriers to human-robot cooperation: balancing efficiency and risk in machine behavior
title_full Confronting barriers to human-robot cooperation: balancing efficiency and risk in machine behavior
title_fullStr Confronting barriers to human-robot cooperation: balancing efficiency and risk in machine behavior
title_full_unstemmed Confronting barriers to human-robot cooperation: balancing efficiency and risk in machine behavior
title_short Confronting barriers to human-robot cooperation: balancing efficiency and risk in machine behavior
title_sort confronting barriers to human robot cooperation balancing efficiency and risk in machine behavior
topic Human-Computer Interaction
Social Sciences
Psychology
url http://www.sciencedirect.com/science/article/pii/S2589004220311603
work_keys_str_mv AT timwhiting confrontingbarrierstohumanrobotcooperationbalancingefficiencyandriskinmachinebehavior
AT alvikagautam confrontingbarrierstohumanrobotcooperationbalancingefficiencyandriskinmachinebehavior
AT jacobtye confrontingbarrierstohumanrobotcooperationbalancingefficiencyandriskinmachinebehavior
AT michaelsimmons confrontingbarrierstohumanrobotcooperationbalancingefficiencyandriskinmachinebehavior
AT jordanhenstrom confrontingbarrierstohumanrobotcooperationbalancingefficiencyandriskinmachinebehavior
AT mayadaoudah confrontingbarrierstohumanrobotcooperationbalancingefficiencyandriskinmachinebehavior
AT jacobwcrandall confrontingbarrierstohumanrobotcooperationbalancingefficiencyandriskinmachinebehavior