Increasing the understanding between a dining table robot assistant and the user

Samuel Olatunji, Tal Oron-Gilad, Yael Edan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study is a preparatory stage of a larger study intended to increase the understanding between a dining table robot assistant and the user. The users are expected to be older adults who need assistance in their daily lives but the study begins with investigating the level of understanding with younger
adults with the intention of comparing the interaction with older adults in further studies. The aim of the experiment is to identify the most appropriate mode of communication from the robot which will convey the state of the interaction between the user and the non-humanoid robot. The results of the present study
reveal that voice feedback from the robot aids better understanding of the state of interaction compared to visual feedback in the absence of background noise while the visual feedback aids better understanding in the presence of noise. Even though most of the users had an opaque understanding of the interaction with the robot while using the voice feedback mode, the results point to the possibility of obtaining better understanding if both feedback modes are combined, to highlight the advantage of each modality, and the content of the
information provided is improved. The study is the initial step towards a design framework for improving the understanding between a socially assistive robot (such as a table setting robot) and the user
Original languageEnglish
Title of host publicationProceedings of the The International PhD Conference on Safe and Social Robotics (SSR-2018)
StatePublished - 2018

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