To Embody or Not: A Cross Human-Robot and Human-Computer Interaction (HRI/HCI) Study on the Efficacy of Physical Embodiment

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

5 Citations (Scopus)

Abstract

A plethora of commercial social robots and social robotics startups have risen over the last few years. At a cursory glance, most such robots are merely conversational agents, essentially offering a similar or subset of the capabilities of a smart communication device embodied in a mobile/semi-mobile robotic platform. This raises the question of the efficacy of such an approach. In this paper, we explore embodiment using a social, in-the-wild interaction scenario, comparing a Human-Computer and Human-Robot context. A public site has been deliberately chosen to highlight the importance of conducting such user studies in unconstrained social settings as opposed to in controlled lab settings. Increasing evidence suggest the lack of generalizability of lab-based results in the wild, which we argue as a reason for misguided commercialization of social robots and their eventual commercial failures. The results have implications for the longterm commercial viability of such social robots.

Original languageEnglish
Title of host publication16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
EditorsChangyun Wen, Hongye Su, Rong Su, Lei Xie
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages848-853
Number of pages6
ISBN (Electronic)9781728177090
DOIs
Publication statusPublished - 13 Dec 2020
Event16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020 - Virtual, Shenzhen, China
Duration: 13 Dec 202015 Dec 2020

Publication series

Name16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020

Conference

Conference16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
Abbreviated titleICARCV 2020
Country/TerritoryChina
CityVirtual, Shenzhen
Period13/12/2015/12/20

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