A Social Robot for Autonomous Health Data Acquisition Among Hospitalized Patients: An Exploratory Field Study

Daisy Van Der Putte, Roel Boumans, Mark Neerincx, Marcel Olde Rikkert, Marleen De Mul

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)

Abstract

The current attention on quality monitoring instruments for hospitalized patients imposes a high data registration workload on nurses. The focus of our research was to investigate whether a social robot is able to take over some of this data collection by administering questionnaires autonomously. We performed an exploratory design experiment on the internal medicine ward of the Franciscus Gasthuis Vlietland hospital. 35 patients (mean age 64.1\pm 17.7, 20 female) participated in the study. We used the social robot Pepper to conduct five questionnaires on medical history, defecation, pain, memory and sleep. Patients and nurses found the robot reasonably acceptable in this role. Further research is needed to address concerns and optimize the nurse-robot task division.

Original languageEnglish
Title of host publication2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages658-659
Number of pages2
ISBN (Electronic)978-1-5386-8555-6
ISBN (Print) 978-1-5386-8556-3
DOIs
Publication statusPublished - 2019
Event14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 - Daegu, Korea, Republic of
Duration: 11 Mar 201914 Mar 2019

Conference

Conference14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
CountryKorea, Republic of
CityDaegu
Period11/03/1914/03/19

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