Implicit Projection: Improving Team Situation Awareness for Tacit Human-Robot Interaction via Virtual Shadows

Andrew Boateng, Wenlong Zhang, Yu Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fluent teaming is characterized by tacit interaction without explicit communication. Such interaction requires team situation awareness (TSA) to facilitate. However, existing approaches often rely on explicit communication (such as visual projection) to support TSA, resulting in a paradox. In this paper, we consider implicit projection (IP) to improve TSA for tacit human-robot interaction. IP minimizes interruption and can thus reduce the cognitive demand to maintain TSA in teaming. We introduce a novel process for achieving IP via virtual shadows (referred to as IPS). We compare our method with two baselines that use explicit projection to maintain TSA. Results via human factors studies demonstrate that IPS supports better TSA and significantly improves unsolicited human responsiveness to robots, a key feature of fluent teaming. Participants acknowledged robots implementing IPS more favorable as a teammate. Simultaneously, our results also demonstrate that IPS is comparable to, and sometimes better than, the best-performing baselines on information accuracy.

Original languageEnglish (US)
Title of host publication2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7945-7952
Number of pages8
ISBN (Electronic)9781665491907
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023 - Detroit, United States
Duration: Oct 1 2023Oct 5 2023

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023
Country/TerritoryUnited States
CityDetroit
Period10/1/2310/5/23

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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