A Social Robot for Autonomous Health Data Acquisition Among Hospitalized Patients

An Exploratory Field Study

Conference paper (2019)

Authors

Daisy Van Der Putte Erasmus Universiteit Rotterdam
R.J.L. Boumans Interactive Intelligence - EEMCS , Radboud Universiteit Nijmegen
M.A. Neerincx Interactive Intelligence - EEMCS
Marcel Olde Rikkert Radboud Universiteit Nijmegen
Marleen De Mul Erasmus Universiteit Rotterdam
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
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Published Date

2019

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

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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