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  4. Lena: a Voice-Based Conversational Agent for Remote Patient Monitoring in Chronic Obstructive Pulmonary Disease
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Lena: a Voice-Based Conversational Agent for Remote Patient Monitoring in Chronic Obstructive Pulmonary Disease

Journal
1st Workshop on Healthy Interfaces (HEALTHI), collocated with the 26th ACM Annual Conference on Intelligent User Interfaces (IUI) - Where HCI meets AI, Virtually Hosted by Texas A&M University, April 13-17, 2021, College Station, USA
Type
conference paper
Date Issued
2021-07-14
Author(s)
Cleres, David
;
Rassouli, Frank
;
Brutsche, Martin
;
Kowatsch, Tobias  
;
Barata, Filipe
Abstract
Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death worldwide. To manage the increasing number of COPD patients and reduce the social and economic burden of treatment, healthcare providers have sought to implement remote patient monitoring (RPM). Screen-based RPM applications, such as filling self-reports on the smartphone or computer, have been shown to increase the quality of life, reduce the frequency and severity of exacerbations, and increase physical activity in patients with COPD. These applications, however, are not without challenges for the elderly target population. They are often used on devices designed by and for a different age group, which makes filling out self-reports prone to error and induces fears of technology malfunctions. Voice-based conversational agents (VCAs) are available on more than 2.5 billion devices and are increasingly present in homes worldwide. Aside from their commercial success, VCAs are also credited with several functionalities, such as hands-free use, that make their adoption in healthcare attractive, especially for the elderly. In this work, we investigate the potential of VCAs for RPM of COPD. Specifically, we designed and evaluated Lena, a single-board computer-based VCA framed as a digital member of the medical team. Lena acts as RPM for the early prediction of COPD exacerbations by asking ten symptom-related questions to determine the patient’s daily health status. This paper presents the patients’ feedback after their interaction with Lena. Patients evaluated the acceptability of the system. Notably, all patients could imagine using the system once a day in the context of a larger study and wished to integrate Lena into their daily routine.
Language
English
Keywords
Digital biomarker
voice assistant
chatbot
COPD
conversational agent
patient remote monitoring
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Publisher
CEUR Workshop Proceedings (CEUR-WS.org)
Publisher place
Aachen, Germany
Volume
2903
Official URL
http://ceur-ws.org/Vol-2903/IUI21WS-HEALTHI-4.pdf
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/110217
Subject(s)

computer science

information managemen...

health sciences

social sciences

Division(s)

ITEM - Institute of T...

Eprints ID
263512
File(s)
Thumbnail Image

open.access

Name

Cleres et al 2021 LENA IUI21WS-HEALTHI-4.pdf

Size

9.5 MB

Format

Adobe PDF

Checksum (MD5)

b53b9aacf58f4de2719a366e2d4f323d

Support
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