Feelfit - Design and evaluation of a conversational agent to enhance health awareness
DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Meier, P. | |
dc.contributor.author | Beinke, J.H. | |
dc.contributor.author | Fitte, C. | |
dc.contributor.author | Behne, A. | |
dc.contributor.author | Teuteberg, F. | |
dc.date.accessioned | 2021-12-23T16:33:28Z | - |
dc.date.available | 2021-12-23T16:33:28Z | - |
dc.date.issued | 2019 | |
dc.identifier.isbn | 9780996683197 | |
dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/17711 | - |
dc.description | Conference of 40th International Conference on Information Systems, ICIS 2019 ; Conference Date: 15 December 2019 Through 18 December 2019; Conference Code:158277 | |
dc.description.abstract | In the course of digitalisation, healthcare systems are undergoing a major transformation. The generation and processing of health-related data are intended to improve health concerns. However, individual health awareness remains inadequate. To counteract this problem, issues in the fields of health awareness, wearable health monitoring systems, conversational agents, and user interface design were identified. Meta-requirements were derived from these issues and then converted into design principles. We developed the FeelFit conversational agent under consideration of those design principles. FeelFit measures vital parameters with various wearable sensors and presents them, enriched with personalised health information, to the user in the form of a conversation via individually configurable input and output devices. The conversational agent was evaluated by two experiments with 90 participants and a workshop. The results confirm a positive usability and task fulfilment of our conversational agent. Compared to known applications, the participants highlighted the more natural interaction and seamless integration of various sensors as strengths of FeelFit. © 40th International Conference on Information Systems, ICIS 2019. All rights reserved. | |
dc.description.sponsorship | 16SV7453; The authors would like to thank the experiment participants, the project team Pia Sch?ttler, Bastian Kamp, Nils Kohl, Simon L?bbers and Shaowei Yu, for their valuable and substantive help, as well as the reviewers for their constructive feedback. This contribution was prepared within the research projects ?Dorfgemeinschaft 2.0? (German Federal Ministry for Education and Research, funding code 16SV7453) and ?Apotheke 2.0? (German Federal Ministry of Food and Agriculture, ?Land.Digital?, PT BLE).; Atos; et al.; Ewing Marion Kauffman Foundation; IBM; Prospect Press; Red Hat | |
dc.language.iso | en | |
dc.publisher | Association for Information Systems | |
dc.relation.ispartof | 40th International Conference on Information Systems, ICIS 2019 | |
dc.subject | Conversational Agent | |
dc.subject | Design and evaluations | |
dc.subject | Health Awareness | |
dc.subject | Health informations | |
dc.subject | Information systems | |
dc.subject | Information use | |
dc.subject | Monitoring | |
dc.subject | Natural interactions | |
dc.subject | Seamless integration | |
dc.subject | User interface designs | |
dc.subject | User interfaces | |
dc.subject | Wearable Health Monitoring System | |
dc.subject | Wearable health-monitoring systems, Health | |
dc.subject | Wearable sensors, Conversational agents | |
dc.title | Feelfit - Design and evaluation of a conversational agent to enhance health awareness | |
dc.type | conference paper | |
dc.identifier.scopus | 2-s2.0-85113464630 | |
dc.identifier.url | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113464630&partnerID=40&md5=bd256d3e27a4c57555f80039d7c38ab0 | |
dcterms.isPartOf.abbreviation | Int. Conf. Inf. Syst., ICIS | |
crisitem.author.dept | FB 09 - Wirtschaftswissenschaften | - |
crisitem.author.deptid | fb09 | - |
crisitem.author.parentorg | Universität Osnabrück | - |
crisitem.author.netid | TeFr823 | - |
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