Monetary-Incentive Competition Between Humans and Robots: Experimental Results

Kshirsagar, Alap; Dreyfuss, Bnaya; Ishai, Guy; Heffetz, Ori; Hoffman, Guy

doi:10.1109/hri.2019.8673201

Cited by 14 publications

(9 citation statements)

References 31 publications

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“…There are a few studies focusing on human-robot interaction in competitive games. For instance, Kshirsagar et al [31] studied the affect of "co-worker" robots on human performance when they are performing in the same environment and competing for a monetary prize. This study showed that humans were slightly discouraged when competing against a high performing robot.…”

Section: Related Workmentioning

confidence: 99%

Motivating Physical Activity via Competitive Human-Robot Interaction

Yang¹,

Habibi²,

Lancaster³

et al. 2022

Preprint

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This project aims to motivate research in competitive human-robot interaction by creating a robot competitor that can challenge human users in certain scenarios such as physical exercise and games. With this goal in mind, we introduce the Fencing Game, a human-robot competition used to evaluate both the capabilities of the robot competitor and user experience. We develop the robot competitor through iterative multi-agent reinforcement learning and show that it can perform well against human competitors. Our user study additionally found that our system was able to continuously create challenging and enjoyable interactions that significantly increased human subjects' heart rates. The majority of human subjects considered the system to be entertaining and desirable for improving the quality of their exercise.

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Section: Related Workmentioning

confidence: 99%

Motivating Physical Activity via Competitive Human-Robot Interaction

Yang¹,

Habibi²,

Lancaster³

et al. 2022

Preprint

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“…The results confirmed that the cooperative task did not reduce self-integration, but the competitive task did. Another study of competitive tasks between humans and robots is that of Kshirsagar et al [17]. They performed a humanrobot competitive task using the same task and found that participants preferred a lower-performing robot to a higherperforming one.…”

Section: Related Workmentioning

confidence: 99%

Agents facilitate one category of human empathy through task difficulty

Tsumura¹,

Yamada²

2022

Preprint

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One way to improve the relationship between humans and anthropomorphic agents is to have humans empathize with the agents. In this study, we focused on a task between agents and humans. We experimentally investigated hypotheses stating that task difficulty and task content facilitate human empathy. The experiment was a two-way analysis of variance (ANOVA) with four conditions: task difficulty (high, low) and task content (competitive, cooperative). The results showed no main effect for the task content factor and a significant main effect for the task difficulty factor. In addition, pre-task empathy toward the agent decreased after the task. The ANOVA showed that one category of empathy toward the agent increased when the task difficulty was higher than when it was lower. This indicated that this category of empathy was more likely to be affected by the task. The task itself used can be an important factor when manipulating each category of empathy.

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“…The first study was a controlled experiment studying the effort of people competing for a monetary prize with a robot on a mundane and repetitive task, and how the robot's performance affected people's effort and their attitude toward the robot (Kshirsagar et al, 2019). We manipulated the robot's performance and the monetary incentive level and measured people's effort level and attitudes toward the robot and toward themselves.…”

Section: Humans and Robots Competing In Mundane Tasksmentioning

confidence: 99%

Human–robot interaction challenges in the workplace.

Hoffman,

Kshirsagar,

Law

2022

The Psychology of Technology: Social Science Research in the Age of Big Data.

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I n this chapter, we discuss challenges for designing robots that interact with people in the workplace. We do so from the perspective of the research field called human-robot interaction (HRI), which studies the engineering methods, design aspects, social issues, and psychological outcomes arising from interacting with robots. The "workplace" in this chapter is defined broadly and can include any of a number of contexts in which robots could work alongside humans, such as factories, supermarkets, offices, care facilities, and construction sites. We do, however, exclude some specialized work environments, which already have humans interacting closely with robots, specifically military, space exploration, and surgery contexts. These settings have been covered at length in the literature. Instead, we discuss workplace settings in which robots are currently rare, but which are considered by the research community as likely future contexts for HRI.

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Monetary-Incentive Competition Between Humans and Robots: Experimental Results

Cited by 14 publications

References 31 publications

Motivating Physical Activity via Competitive Human-Robot Interaction

Motivating Physical Activity via Competitive Human-Robot Interaction

Agents facilitate one category of human empathy through task difficulty

Human–robot interaction challenges in the workplace.

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