Flailing, Hailing, Prevailing
Samantha Reig, Elizabeth Carter, Terrence Fong, Jodi Forlizzi, Aaron Steinfeld
- 发表年份
- 2021
- 引用次数
- 19
- 访问权限
- 开放获取
摘要
We explored diferent ways in which a multi-robot system might recover after one robot experiences a failure. We compared four recovery conditions: Update (a robot fxes its error and continues the task), Re-embody (a robot transfers its intelligence to a diferent body), Call (the failed robot summons a second robot to take its place), and Sense (a second robot detects the failure and proactively takes the place of the frst robot). We found that trust in the system and perceived competence of the system were higher when a single robot recovered from a failure on its own (by updating or re-embodying) than when a second robot took over the task. We also found evidence that two robots that used the same socially interactive intelligence were perceived more similarly than two robots with diferent intelligences. Finally, our study revealed a relationship between how people perceive the agency of a robot and how they perceive the performance of the system.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002