Investigating the Effect of Deictic Movements of a Multi-robot

TL;DR

This study explores how the physical movements of multiple robots, specifically deictic gestures, influence human information recall, advancing understanding of human-multi-robot interaction.

Contribution

It investigates the impact of deictic movements of multi-robots on human information retrieval, a novel focus in human-robot interaction research.

Findings

Deictic movements improve information recall.

Physical affordances enhance human-robot communication.

Results suggest benefits for everyday multi-robot systems.

Abstract

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.