The University of Southampton
University of Southampton Institutional Repository

The potential of physical motion cues: changing people’s perception of robots’ performance

Record type: Conference or Workshop Item (Paper)

Autonomous robotic systems can automatically perform actions on behalf of users in the domestic environment to help people in their daily activities. Such systems aim to reduce users' cognitive and physical workload, and improve wellbeing. While the benefits of these systems are clear, recent studies suggest that users may misconstrue their performance of tasks. We see an opportunity in designing interaction techniques that improve how users perceive the performance of such systems. We report two lab studies (N=16 each) designed to investigate whether showing physical motion, which is showing the process of a system through movement (that is intrinsic to the system's task), of an autonomous system as it completes its task, affects how users perceive its performance. To ensure our studies are ecologically valid and to motivate participants to provide thoughtful responses we adopted consensus-oriented financial incentives. Our results suggest that physical presence does yield higher performance ratings.

PDF proceedings.pdf - Accepted Manuscript
Download (772kB)

Citation

Garcia Garcia, Pedro, Costanza, Enrico, Verame, Jhim and Ramchurn, Sarvapali D. (2016) The potential of physical motion cues: changing people’s perception of robots’ performance At UbiComp 2016: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Germany. 12 - 16 Sep 2016. 9 pp. (doi:10.1145/2971648.2971697).

More information

Accepted/In Press date: 5 June 2016
e-pub ahead of print date: 12 September 2016
Venue - Dates: UbiComp 2016: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Germany, 2016-09-12 - 2016-09-16
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 398009
URI: http://eprints.soton.ac.uk/id/eprint/398009
PURE UUID: 32d641a6-351c-46ae-82c6-c273eca1cd19
ORCID for Sarvapali D. Ramchurn: ORCID iD orcid.org/0000-0001-9686-4302

Catalogue record

Date deposited: 15 Jul 2016 08:41
Last modified: 17 Jul 2017 18:33

Export record

Altmetrics

Contributors

Author: Pedro Garcia Garcia
Author: Enrico Costanza
Author: Jhim Verame
Author: Sarvapali D. Ramchurn ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×