Abstract | ||
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In a controlled experiment, participants (n = 60) competed in a monotonous task with an autonomous robot for real monetary incentives. For each participant, we manipulated the robot's performance and the monetary incentive level across ten rounds. In each round, a participant's performance compared to the robot's would affect their odds in a lottery for the monetary prize. Standard economic theory predicts that people's effort will increase with prize value. Furthermore, recent work in behavioral economics predicts that there will also be a discouragement effect, with stronger robot performance discouraging human effort, and that this effect will increase with prize. We were not able to detect a meaningful effect of monetary prize, but we found a small discouragement effect, with human effort decreasing with increased robot performance, significant at the p < 0.005 level. Using per-round subjective indicators, we also found a positive effect of robot performance on its perceived competence, a negative effect on the participants' liking of the robot, and a negative effect on the participants' own competence, all at p < 0.0001. These findings shed light on how people may exert work effort and perceive robotic competitors in a human-robot workforce, and could have implications on labor supply decisions and the design of compensation schemes in the workplace.
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Year | DOI | Venue |
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2019 | 10.1109/HRI.2019.8673201 | HRI |
Keywords | Field | DocType |
Human-Robot Competition,Reference-Dependent Preferences,Loss Aversion,Perceived Competence | Loss aversion,Incentive,Task analysis,Computer science,Microeconomics,Lottery,Human–computer interaction,Behavioral economics,Odds,Autonomous robot,Robot | Conference |
ISSN | ISBN | Citations |
2167-2121 | 978-1-5386-8555-6 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alap Kshirsagar | 1 | 1 | 1.36 |
Bnaya Dreyfuss | 2 | 0 | 0.34 |
Guy Ishai | 3 | 0 | 0.34 |
Ori Heffetz | 4 | 0 | 0.34 |
Guy Hoffman | 5 | 706 | 62.08 |