マルチリソース理論に基づくロボット遠隔操作インターフェースの検討
Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management
視覚のみのロボット操作に音声情報を加えることで作業負荷が下がるかを、探索・脅威除去と記憶課題の二重課題で検証したが、性能や負荷に有意差は見られなかった。
著者: Zhao Han, Adam Norton, Eric McCann, Lisa Baraniecki, Will Ober, Dave Shane, Anna Skinner, Holly A. Yanco
分類: cs.RO, cs.HC
原文アブストラクト
Robot interfaces often only use the visual channel. Inspired by Wickens' Multiple Resource Theory, we investigated if the addition of audio elements would reduce cognitive workload and improve performance. Specifically, we designed a search and threat-defusal task (primary) with a memory test task (secondary). Eleven participants - predominantly first responders - were recruited to control a robot to clear all threats in a combination of four conditions of primary and secondary tasks in visual and auditory channels. We did not find any statistically significant differences in performance or workload across subjects, making it questionable that Multiple Resource Theory could shorten longer-term task completion time and reduce workload. Our results suggest that considering individual differences for splitting interface modalities across multiple channels requires further investigation.
