Abstract
Conference
| Conference | 26th IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man) Workshop on Agent Transparency for Human-Autonomy Teaming Effectiveness |
|---|---|
| Abbreviated title | RO-MAN2017 Workshop on Agent Transparency for Human-Autonomy Teaming Effectiveness |
| Country | Portugal |
| City | Lisbon |
| Period | 1/09/17 → 1/09/17 |
| Internet address |
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The Muttering Robot: Improving Robot Transparency Though Vocalisation of Reactive Plan Execution. / Wortham, Robert H; Rogers, Vivienne.
2017. Paper presented at 26th IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man) Workshop on Agent Transparency for Human-Autonomy Teaming Effectiveness, Lisbon, Portugal.Research output: Contribution to conference › Paper
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TY - CONF
T1 - The Muttering Robot: Improving Robot Transparency Though Vocalisation of Reactive Plan Execution
AU - Wortham, Robert H
AU - Rogers, Vivienne
PY - 2017/9/1
Y1 - 2017/9/1
N2 - Transparency is an important design consideration for all intelligent autonomous systems. Previous work shows that a real-time visual display of a robot’s decision making produces significantly better understanding of that robot’s intelligence. We investigate vocalisation of behaviour selection as a possible alternative solution for situations where a visual display of decision making is either impractical or impossible. In initial experiments we find that vocalisation is associated with a significant improvement in understanding of the robot, comparable with the results obtained using a realtime display. We also find that vocalisation has no significant effect on participants emotional response, though it may slightly increase positive feelings about the robot.We discuss the relative merits of visual and vocalised transparency mechanisms, and suggest possible applications.
AB - Transparency is an important design consideration for all intelligent autonomous systems. Previous work shows that a real-time visual display of a robot’s decision making produces significantly better understanding of that robot’s intelligence. We investigate vocalisation of behaviour selection as a possible alternative solution for situations where a visual display of decision making is either impractical or impossible. In initial experiments we find that vocalisation is associated with a significant improvement in understanding of the robot, comparable with the results obtained using a realtime display. We also find that vocalisation has no significant effect on participants emotional response, though it may slightly increase positive feelings about the robot.We discuss the relative merits of visual and vocalised transparency mechanisms, and suggest possible applications.
M3 - Paper
ER -