Loading…

Assessing long-term user experience on a mobile health application through an in-app embedded conversation-based questionnaire

A satisfying experience is critical for the user to feel motivated over time, especially in mobile health (m-Health) applications. Long-term user experience (UX) assesses more extended periods of use, which may reveal the possible impact of a set of experiences. In this study, using an in-app embed...

Full description

Saved in:
Bibliographic Details
Published in:Computers in human behavior 2020-03, Vol.104, p.106169, Article 106169
Main Authors: Biduski, Daiana, Bellei, Ericles Andrei, Rodriguez, João Pedro Mazuco, Zaina, Luciana Aparecida Martinez, De Marchi, Ana Carolina Bertoletti
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c277t-4fdd131e0eae2d7d10c46f5b1bb32f51356b18ee7106d36d5b79c76cf6459e5a3
container_end_page
container_issue
container_start_page 106169
container_title Computers in human behavior
container_volume 104
creator Biduski, Daiana
Bellei, Ericles Andrei
Rodriguez, João Pedro Mazuco
Zaina, Luciana Aparecida Martinez
De Marchi, Ana Carolina Bertoletti
description A satisfying experience is critical for the user to feel motivated over time, especially in mobile health (m-Health) applications. Long-term user experience (UX) assesses more extended periods of use, which may reveal the possible impact of a set of experiences. In this study, using an in-app embed questionnaire available through a conversational interface, we investigated long-term UX on an m-Health application to identify how it occurs over time. The methods were developed in 4 phases, which included problem characterization, search for UX aspects, elaboration and verification of the questionnaire, test period with questionnaire applied before, during and after use, interview with users, and information mapping. For 3 months, 37 users reported their experiences with the application, describing their impressions regarding usage. Results demonstrated that the most satisfying experiences occurred mainly within the first weeks of the study and were associated with the app's features, charts and visual resources, and the practicality of treatment monitoring. For the less satisfactory experiences, the main reasons identified were technical problems on the application, and the effort and difficulty of use. All users appreciated the use of a character in the conversational interface as a gatherer of the answers to the assessment questionnaire. [Display omitted] •37 participants reported their long-term UX on a conversational interface for 3 months.•After the app use, users' feeling about their health remained similar to before use.•The most satisfactory experiences occurred mainly during the first weeks of use.•A determining aspect in UX is whether the app features meet users' health needs.•As engagement evolves over time, hedonic aspects gain more weight than pragmatic ones.
doi_str_mv 10.1016/j.chb.2019.106169
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2353609187</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0747563219303814</els_id><sourcerecordid>2353609187</sourcerecordid><originalsourceid>FETCH-LOGICAL-c277t-4fdd131e0eae2d7d10c46f5b1bb32f51356b18ee7106d36d5b79c76cf6459e5a3</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMoWKs_wFvA89Zk0yRdPJXiFxS86DnkY7ZN2SZrsi168bebtp49DTPvvPPxIHRLyYQSKu43E7s2k5rQpuSCiuYMjehMskqKpj5HIyKnsuKC1ZfoKucNIYRzIkboZ54z5OzDCncxrKoB0hbvMiQMXz0kD8ECjgFrvI3Gd4DXoLthjXXfd97qwRdtWKe4W5VawD5URcGwNeAcOGxj2EPKx77K6FxKnzvIhzRon-AaXbS6y3DzF8fo4-nxffFSLd-eXxfzZWVrKYdq2jpHGQUCGmonHSV2KlpuqDGsbjllXBg6A5Dld8eE40Y2VgrbiilvgGs2RnenuX2KxwPUJu5SKCtVzTgTpDnAGiN66rIp5pygVX3yW52-FSXqgFltVMGsDpjVCXPxPJw8UM7fe0gq2yM1V96zg3LR_-P-Bb29h80</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2353609187</pqid></control><display><type>article</type><title>Assessing long-term user experience on a mobile health application through an in-app embedded conversation-based questionnaire</title><source>ScienceDirect Journals</source><creator>Biduski, Daiana ; Bellei, Ericles Andrei ; Rodriguez, João Pedro Mazuco ; Zaina, Luciana Aparecida Martinez ; De Marchi, Ana Carolina Bertoletti</creator><creatorcontrib>Biduski, Daiana ; Bellei, Ericles Andrei ; Rodriguez, João Pedro Mazuco ; Zaina, Luciana Aparecida Martinez ; De Marchi, Ana Carolina Bertoletti</creatorcontrib><description>A satisfying experience is critical for the user to feel motivated over time, especially in mobile health (m-Health) applications. Long-term user experience (UX) assesses more extended periods of use, which may reveal the possible impact of a set of experiences. In this study, using an in-app embed questionnaire available through a conversational interface, we investigated long-term UX on an m-Health application to identify how it occurs over time. The methods were developed in 4 phases, which included problem characterization, search for UX aspects, elaboration and verification of the questionnaire, test period with questionnaire applied before, during and after use, interview with users, and information mapping. For 3 months, 37 users reported their experiences with the application, describing their impressions regarding usage. Results demonstrated that the most satisfying experiences occurred mainly within the first weeks of the study and were associated with the app's features, charts and visual resources, and the practicality of treatment monitoring. For the less satisfactory experiences, the main reasons identified were technical problems on the application, and the effort and difficulty of use. All users appreciated the use of a character in the conversational interface as a gatherer of the answers to the assessment questionnaire. [Display omitted] •37 participants reported their long-term UX on a conversational interface for 3 months.•After the app use, users' feeling about their health remained similar to before use.•The most satisfactory experiences occurred mainly during the first weeks of use.•A determining aspect in UX is whether the app features meet users' health needs.•As engagement evolves over time, hedonic aspects gain more weight than pragmatic ones.</description><identifier>ISSN: 0747-5632</identifier><identifier>EISSN: 1873-7692</identifier><identifier>DOI: 10.1016/j.chb.2019.106169</identifier><language>eng</language><publisher>Elmsford: Elsevier Ltd</publisher><subject>Chatbot ; Conversational ; Health ; Identification methods ; Long-term assessment ; m-Health ; Mapping ; Questionnaires ; User experience ; User interfaces</subject><ispartof>Computers in human behavior, 2020-03, Vol.104, p.106169, Article 106169</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Mar 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c277t-4fdd131e0eae2d7d10c46f5b1bb32f51356b18ee7106d36d5b79c76cf6459e5a3</cites><orcidid>0000-0002-6020-6356</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Biduski, Daiana</creatorcontrib><creatorcontrib>Bellei, Ericles Andrei</creatorcontrib><creatorcontrib>Rodriguez, João Pedro Mazuco</creatorcontrib><creatorcontrib>Zaina, Luciana Aparecida Martinez</creatorcontrib><creatorcontrib>De Marchi, Ana Carolina Bertoletti</creatorcontrib><title>Assessing long-term user experience on a mobile health application through an in-app embedded conversation-based questionnaire</title><title>Computers in human behavior</title><description>A satisfying experience is critical for the user to feel motivated over time, especially in mobile health (m-Health) applications. Long-term user experience (UX) assesses more extended periods of use, which may reveal the possible impact of a set of experiences. In this study, using an in-app embed questionnaire available through a conversational interface, we investigated long-term UX on an m-Health application to identify how it occurs over time. The methods were developed in 4 phases, which included problem characterization, search for UX aspects, elaboration and verification of the questionnaire, test period with questionnaire applied before, during and after use, interview with users, and information mapping. For 3 months, 37 users reported their experiences with the application, describing their impressions regarding usage. Results demonstrated that the most satisfying experiences occurred mainly within the first weeks of the study and were associated with the app's features, charts and visual resources, and the practicality of treatment monitoring. For the less satisfactory experiences, the main reasons identified were technical problems on the application, and the effort and difficulty of use. All users appreciated the use of a character in the conversational interface as a gatherer of the answers to the assessment questionnaire. [Display omitted] •37 participants reported their long-term UX on a conversational interface for 3 months.•After the app use, users' feeling about their health remained similar to before use.•The most satisfactory experiences occurred mainly during the first weeks of use.•A determining aspect in UX is whether the app features meet users' health needs.•As engagement evolves over time, hedonic aspects gain more weight than pragmatic ones.</description><subject>Chatbot</subject><subject>Conversational</subject><subject>Health</subject><subject>Identification methods</subject><subject>Long-term assessment</subject><subject>m-Health</subject><subject>Mapping</subject><subject>Questionnaires</subject><subject>User experience</subject><subject>User interfaces</subject><issn>0747-5632</issn><issn>1873-7692</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKs_wFvA89Zk0yRdPJXiFxS86DnkY7ZN2SZrsi168bebtp49DTPvvPPxIHRLyYQSKu43E7s2k5rQpuSCiuYMjehMskqKpj5HIyKnsuKC1ZfoKucNIYRzIkboZ54z5OzDCncxrKoB0hbvMiQMXz0kD8ECjgFrvI3Gd4DXoLthjXXfd97qwRdtWKe4W5VawD5URcGwNeAcOGxj2EPKx77K6FxKnzvIhzRon-AaXbS6y3DzF8fo4-nxffFSLd-eXxfzZWVrKYdq2jpHGQUCGmonHSV2KlpuqDGsbjllXBg6A5Dld8eE40Y2VgrbiilvgGs2RnenuX2KxwPUJu5SKCtVzTgTpDnAGiN66rIp5pygVX3yW52-FSXqgFltVMGsDpjVCXPxPJw8UM7fe0gq2yM1V96zg3LR_-P-Bb29h80</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Biduski, Daiana</creator><creator>Bellei, Ericles Andrei</creator><creator>Rodriguez, João Pedro Mazuco</creator><creator>Zaina, Luciana Aparecida Martinez</creator><creator>De Marchi, Ana Carolina Bertoletti</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-6020-6356</orcidid></search><sort><creationdate>202003</creationdate><title>Assessing long-term user experience on a mobile health application through an in-app embedded conversation-based questionnaire</title><author>Biduski, Daiana ; Bellei, Ericles Andrei ; Rodriguez, João Pedro Mazuco ; Zaina, Luciana Aparecida Martinez ; De Marchi, Ana Carolina Bertoletti</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c277t-4fdd131e0eae2d7d10c46f5b1bb32f51356b18ee7106d36d5b79c76cf6459e5a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Chatbot</topic><topic>Conversational</topic><topic>Health</topic><topic>Identification methods</topic><topic>Long-term assessment</topic><topic>m-Health</topic><topic>Mapping</topic><topic>Questionnaires</topic><topic>User experience</topic><topic>User interfaces</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Biduski, Daiana</creatorcontrib><creatorcontrib>Bellei, Ericles Andrei</creatorcontrib><creatorcontrib>Rodriguez, João Pedro Mazuco</creatorcontrib><creatorcontrib>Zaina, Luciana Aparecida Martinez</creatorcontrib><creatorcontrib>De Marchi, Ana Carolina Bertoletti</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers in human behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Biduski, Daiana</au><au>Bellei, Ericles Andrei</au><au>Rodriguez, João Pedro Mazuco</au><au>Zaina, Luciana Aparecida Martinez</au><au>De Marchi, Ana Carolina Bertoletti</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing long-term user experience on a mobile health application through an in-app embedded conversation-based questionnaire</atitle><jtitle>Computers in human behavior</jtitle><date>2020-03</date><risdate>2020</risdate><volume>104</volume><spage>106169</spage><pages>106169-</pages><artnum>106169</artnum><issn>0747-5632</issn><eissn>1873-7692</eissn><abstract>A satisfying experience is critical for the user to feel motivated over time, especially in mobile health (m-Health) applications. Long-term user experience (UX) assesses more extended periods of use, which may reveal the possible impact of a set of experiences. In this study, using an in-app embed questionnaire available through a conversational interface, we investigated long-term UX on an m-Health application to identify how it occurs over time. The methods were developed in 4 phases, which included problem characterization, search for UX aspects, elaboration and verification of the questionnaire, test period with questionnaire applied before, during and after use, interview with users, and information mapping. For 3 months, 37 users reported their experiences with the application, describing their impressions regarding usage. Results demonstrated that the most satisfying experiences occurred mainly within the first weeks of the study and were associated with the app's features, charts and visual resources, and the practicality of treatment monitoring. For the less satisfactory experiences, the main reasons identified were technical problems on the application, and the effort and difficulty of use. All users appreciated the use of a character in the conversational interface as a gatherer of the answers to the assessment questionnaire. [Display omitted] •37 participants reported their long-term UX on a conversational interface for 3 months.•After the app use, users' feeling about their health remained similar to before use.•The most satisfactory experiences occurred mainly during the first weeks of use.•A determining aspect in UX is whether the app features meet users' health needs.•As engagement evolves over time, hedonic aspects gain more weight than pragmatic ones.</abstract><cop>Elmsford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.chb.2019.106169</doi><orcidid>https://orcid.org/0000-0002-6020-6356</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0747-5632
ispartof Computers in human behavior, 2020-03, Vol.104, p.106169, Article 106169
issn 0747-5632
1873-7692
language eng
recordid cdi_proquest_journals_2353609187
source ScienceDirect Journals
subjects Chatbot
Conversational
Health
Identification methods
Long-term assessment
m-Health
Mapping
Questionnaires
User experience
User interfaces
title Assessing long-term user experience on a mobile health application through an in-app embedded conversation-based questionnaire
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T17%3A33%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessing%20long-term%20user%20experience%20on%20a%20mobile%20health%20application%20through%20an%20in-app%20embedded%20conversation-based%20questionnaire&rft.jtitle=Computers%20in%20human%20behavior&rft.au=Biduski,%20Daiana&rft.date=2020-03&rft.volume=104&rft.spage=106169&rft.pages=106169-&rft.artnum=106169&rft.issn=0747-5632&rft.eissn=1873-7692&rft_id=info:doi/10.1016/j.chb.2019.106169&rft_dat=%3Cproquest_cross%3E2353609187%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c277t-4fdd131e0eae2d7d10c46f5b1bb32f51356b18ee7106d36d5b79c76cf6459e5a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2353609187&rft_id=info:pmid/&rfr_iscdi=true