[ICRA 2025] Training Human-Robot Teams by Improving Transparency Through a Virtual Spectator Interface
Sean Dallas, Hongjiao Qiang, Motaz AbuHijleh, Wonse Jo, Kayla Riegner, Jon Smereka, Lionel Robert, Wing-Yue Louie, and Dawn M. Tilbury*
Embedded Files
Supplementary Video
Experimental Design
4 events (2 TOs and 2 OFs) are selected as examples in the training review
In all conditions, a verbal description of the desired action for each event is given
User Experiment Procedures
Pre-trial:
- In-sim training to understand tasks
Trial 1:
- Reconnaissance Missions in Trial 1 Map
Training Review (TR):
- Review their missions with one of the conditions
Trial 2:
- Reconnaissance Missions in Trial 2 Map
Reconnaissance Mission and Maps in Trials 1 & 2
Acknolowedgement
This research was supported by Automotive Research Center (ARC) and Immersive Simulation Directorate in accordance with Cooperative Agreement W56HZV-24-2-0001 U.S Army DEVCOM Ground Vehicle Systems Center (GVSC) Warren, MI
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