Research Article
Human-Robot Interaction Strategies for Unobtrusively Acquiring Health-Related Data
@INPROCEEDINGS{10.4108/icst.mobihealth.2014.257363, author={Maria Dagioglou and Stasinos Konstantopoulos and A. Seza Dogruoz and Franziska Kirstein}, title={Human-Robot Interaction Strategies for Unobtrusively Acquiring Health-Related Data}, proceedings={eHealth@Home - Infrastructure and services for remote multi-parametering monitoring, analysis and support}, publisher={IEEE}, proceedings_a={EHEALTH}, year={2014}, month={12}, keywords={human robot interaction telehealth health-related data}, doi={10.4108/icst.mobihealth.2014.257363} }- Maria Dagioglou
Stasinos Konstantopoulos
A. Seza Dogruoz
Franziska Kirstein
Year: 2014
Human-Robot Interaction Strategies for Unobtrusively Acquiring Health-Related Data
EHEALTH
ICST
DOI: 10.4108/icst.mobihealth.2014.257363
Abstract
Using robotic home assistants as a platform for remote health monitoring offers several advantages, but also presents considerable challenges related to both the technical immaturity of home robotics and to user acceptance issues. In this paper we explore tablets and similar mobile devices as the medium of communication between robots and their users, presenting relevant current and planned research in human-robot interaction that can help the telehealth community circumvent technical shortcomings, improve user acceptance, and maximize the quality of the data collected by robotic home assistants.
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