Perceptions of a Robot that Interleaves Tasks for Multiple Users

Author:

Carter Elizabeth J.1ORCID,Vichivanives Peerat2ORCID,Xing Ruijia2ORCID,Hiatt Laura M.3ORCID,Rosenthal Stephanie4ORCID

Affiliation:

1. Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA

2. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA

3. Navy Center for Applied Research in Artificial Intelligence, US Naval Research Laboratory, Washington, DC, USA

4. Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA

Abstract

When robots have multiple tasks to perform, they must determine the order in which to complete them. Interleaving tasks is efficient for the robot trying to finish its to-do list, but it may be less satisfying for a human whose request was delayed in favor of schedule efficiency. Following online research that examined delays with various motivations [4, 27], we created two in-person studies in which participants’ tasks were impacted by the robot’s other tasks. In the first, participants either requested a task for the robot to complete on their behalf or watched the robot performing tasks for other people. We measured how their opinions changed depending on whether their task’s completion was delayed due to another participant’s task or they were observing without a task of their own. In the second, participants had a robot walk them to an office and became delayed as the robot detoured to another location. We measured how opinions of the robot changed depending on who requested the detour task and the length of the detour. Overall, participants positively viewed task interleaving as long as the delay and inconvenience imposed by someone else’s task were small and the task was well-justified. Also, observers often had lower opinions of the robot than participants who requested tasks, highlighting a concern for online research.

Publisher

Association for Computing Machinery (ACM)

Reference27 articles.

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4. Elizabeth J Carter, Laura M Hiatt, and Stephanie Rosenthal. 2022. You’re delaying my task?! Impact of task order and motive on perceptions of a robot. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. 304–312.

5. Tathagata Chakraborti, Anagha Kulkarni, Sarath Sreedharan, David E Smith, and Subbarao Kambhampati. 2019. Explicability? Legibility? Predictability? Transparency? Privacy? Security? The emerging landscape of interpretable agent behavior. In Proceedings of the International Conference on Automated Planning and Scheduling, Vol. 29. 86–96.

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