User Experience of a Chatbot Questionnaire Versus a Regular Computer Questionnaire: Prospective Comparative Study

Mariska te Pas (Corresponding author), Werner G.M.M. Rutten, R. Arthur Bouwman, Marc P. Buise

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

24 Citaten (Scopus)
277 Downloads (Pure)

Samenvatting

BACKGROUND: Respondent engagement of questionnaires in health care is fundamental to ensure adequate response rates for the evaluation of services and quality of care. Conventional survey designs are often perceived as dull and unengaging, resulting in negative respondent behavior. It is necessary to make completing a questionnaire attractive and motivating.

OBJECTIVE: The aim of this study is to compare the user experience of a chatbot questionnaire, which mimics intelligent conversation, with a regular computer questionnaire.

METHODS: The research took place at the preoperative outpatient clinic. Patients completed both the standard computer questionnaire and the new chatbot questionnaire. Afterward, patients gave their feedback on both questionnaires by the User Experience Questionnaire, which consists of 26 terms to score.

RESULTS: The mean age of the 40 included patients (25 [63%] women) was 49 (SD 18-79) years; 46.73% (486/1040) of all terms were scored positive for the chatbot. Patients preferred the computer for 7.98% (83/1040) of the terms and for 47.88% (498/1040) of the terms there were no differences. Completion (mean time) of the computer questionnaire took 9.00 minutes by men (SD 2.72) and 7.72 minutes by women (SD 2.60; P=.148). For the chatbot, completion by men took 8.33 minutes (SD 2.99) and by women 7.36 minutes (SD 2.61; P=.287).

CONCLUSIONS: Patients preferred the chatbot questionnaire over the computer questionnaire. Time to completion of both questionnaires did not differ, though the chatbot questionnaire on a tablet felt more rapid compared to the computer questionnaire. This is an important finding because it could lead to higher response rates and to qualitatively better responses in future questionnaires.

Originele taal-2Engels
Artikelnummere21982
Aantal pagina's10
TijdschriftJMIR Medical Informatics
Volume8
Nummer van het tijdschrift12
DOI's
StatusGepubliceerd - 7 dec. 2020

Bibliografische nota

©Mariska E te Pas, Werner G M M Rutten, R Arthur Bouwman, Marc P Buise. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 07.12.2020.

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