Library
home (Home) TU Delft Repository login Login

A Social Robot for Autonomous Health Data Acquisition Among Hospitalized Patients

An Exploratory Field Study

Conference Paper (2019)
Author(s)

Daisy Van Der Putte ( Erasmus Universiteit Rotterdam)

Roel Boumans (TU Delft - Electrical Engineering, Mathematics and Computer Science, Radboud Universiteit Nijmegen)

Mark Neerincx (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Marcel Olde Rikkert (Radboud Universiteit Nijmegen)

Marleen De Mul ( Erasmus Universiteit Rotterdam)

Research Group
Interactive Intelligence
DOI related publication
https://doi.org/10.1109/HRI.2019.8673280 Final published version
More Info
expand_more
Publication Year
2019
Language
English
Research Group
Interactive Intelligence
Article number
8673280
Pages (from-to)
658-659
ISBN (print)
978-1-5386-8556-3
ISBN (electronic)
978-1-5386-8555-6
Event
14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 (2019-03-11 - 2019-03-14), Daegu, Korea, Republic of
Downloads counter
183

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.