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)

R.J.L. Boumans (TU Delft - Interactive Intelligence, Radboud Universiteit Nijmegen)

Mark Neerincx (TU Delft - Interactive Intelligence)

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
More Info
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Publication Year
2019
Language
English
Research Group
Interactive Intelligence
Pages (from-to)
658-659
ISBN (print)
978-1-5386-8556-3
ISBN (electronic)
978-1-5386-8555-6

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.

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