Initial Validation of the Teleoperator-Avatar Robot Interaction Scale (TARX)

Extant work on human-machine relations indicates humans experience variably social relations with machines. However, there is yet no systematic framework for considering the potential sociality of relations between teleoperators and controlled robots, in addition to their functional associations. We bridge that gap by initially validating a proposed-but-untested measurement model of teleoperator/avatar-robot interaction (the TARX scale) inspired by game-based player-avatar relations. In a lab-based study of human operators’ subjective experiences in remote-controlling a robotic arm, we find support for the hypothesized factor structure comprising four dimensions: Relational closeness, anthropomorphic autonomy, critical concern, and sense of control. Results demonstrate the coherence of socioemotional dimensions of operator experience in addition to cognitive and performance considerations.

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Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Social Robot Interaction and HRI
Type
article
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article

Initial Validation of the Teleoperator-Avatar Robot Interaction Scale (TARX)

Jaime Banks, Nick Bowman, Rio Harper
ScholarSpace (University of Hawaii at Manoa)
Social Robot Interaction and HRI
article

Initial Validation of the Teleoperator-Avatar Robot Interaction Scale (TARX)

Jaime Banks, Nick Bowman, Rio Harper
article en

Abstract

Extant work on human-machine relations indicates humans experience variably social relations with machines. However, there is yet no systematic framework for considering the potential sociality of relations between teleoperators and controlled robots, in addition to their functional associations. We bridge that gap by initially validating a proposed-but-untested measurement model of teleoperator/avatar-robot interaction (the TARX scale) inspired by game-based player-avatar relations. In a lab-based study of human operators’ subjective experiences in remote-controlling a robotic arm, we find support for the hypothesized factor structure comprising four dimensions: Relational closeness, anthropomorphic autonomy, critical concern, and sense of control. Results demonstrate the coherence of socioemotional dimensions of operator experience in addition to cognitive and performance considerations.

ScholarSpace (University of Hawaii at Manoa)
Reduced inequalities
Openalex Percentile: Top 28%
Social Robot Interaction and HRI
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