Investigating the Effect of Deictic Movements of a Multi-robot
This work addresses human-multi-robot interaction for everyday users, but it is incremental as it builds on existing human-robot interaction research.
The paper tackled the problem of how multi-robot systems can aid everyday users by investigating the effects of deictic movements on information retrieval, finding that such movements improved recall performance in a delayed free recall task.
Multi-robot systems are made up of a team of multiple robots, which provides the advantage of performing complex tasks with high efficiency, flexibility, and robustness. Although research on human-robot interaction is ongoing as robots become more readily available and easier to use, the study of interactions between a human and multiple robots represents a relatively new field of research. In particular, how multi-robots could be used for everyday users has not been extensively explored. Additionally, the impact of the characteristics of multiple robots on human perception and cognition in human multi-robot interaction should be further explored. In this paper, we specifically focus on the benefits of physical affordances generated by the movements of multi-robots, and investigate the effects of deictic movements of multi-robots on information retrieval by conducting a delayed free recall task.