User acceptance of pervasive computing in healthcare: Main findings of two case studies
The successful implementation of pervasive computing technologies in healthcare does not only depend on technical issues but also on acceptability and acceptance issues. In this paper we focus on factors that facilitate or inhibit user acceptance of pervasive computing in healthcare. We present sele...
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| creator | Scheermesser, M. Kosow, H. Rashid, A. Holtmann, C. |
| description | The successful implementation of pervasive computing technologies in healthcare does not only depend on technical issues but also on acceptability and acceptance issues. In this paper we focus on factors that facilitate or inhibit user acceptance of pervasive computing in healthcare. We present selected findings of the research project dasiaPerCoMed - Pervasive Computing in Healthcarepsila. The project is based on two case studies in pre- and post-clinical healthcare. In the first study, the potential of pervasive computing technologies for the treatment of acute cardiovascular diseases is investigated, in the second case study, the potential for the treatment of multiple sclerosis (MS) is evaluated. A qualitative user acceptance analysis of the two case studies shows the following results: the main factor of user acceptance is the perceived medical usefulness. Furthermore, acceptance is strongly inhibited if data privacy or if subjective norms are violated. Usability only presents a decisive factor of acceptance if problems with usability reduce the perceived usefulness. |
| doi_str_mv | 10.1109/PCTHEALTH.2008.4571071 |
| format | Conference Proceeding |
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In this paper we focus on factors that facilitate or inhibit user acceptance of pervasive computing in healthcare. We present selected findings of the research project dasiaPerCoMed - Pervasive Computing in Healthcarepsila. The project is based on two case studies in pre- and post-clinical healthcare. In the first study, the potential of pervasive computing technologies for the treatment of acute cardiovascular diseases is investigated, in the second case study, the potential for the treatment of multiple sclerosis (MS) is evaluated. A qualitative user acceptance analysis of the two case studies shows the following results: the main factor of user acceptance is the perceived medical usefulness. Furthermore, acceptance is strongly inhibited if data privacy or if subjective norms are violated. 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Usability only presents a decisive factor of acceptance if problems with usability reduce the perceived usefulness.</description><subject>Cardiovascular diseases</subject><subject>case study</subject><subject>Data privacy</subject><subject>Environmental economics</subject><subject>Information analysis</subject><subject>Information technology</subject><subject>Medical services</subject><subject>Multiple sclerosis</subject><subject>Pervasive computing</subject><subject>Risk analysis</subject><subject>Usability</subject><subject>usefulness</subject><subject>user acceptance</subject><issn>2153-1633</issn><isbn>9789639799158</isbn><isbn>9639799157</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkM1KAzEUhQMqWGqfQJC8wNTc_Ewm7kqpVqjoosVlydzc2Eg7HSbTim_fil0dOB_nWxzGHkCMAYR7_Jgu57PJYjkfSyGqsTYWhIUrNnK2cqVy1jkw1TUbSDCqgFKpWzbK-VsIAa60YPSAfa4yddwjUtv7BonvI2-pO_qcjsRxv2sPfWq-eGr4hvy236Dv6Im_-XMRUxPOLP9t-p89R5-J5_4QEuU7dhP9NtPokkO2ep4tp_Ni8f7yOp0sCgSt-qKuVJAGJAB6hcHXtZRViYG0CRqswFhrJRVY762qjA5aoRZR1jGiCE6oIbv_9yYiWrdd2vnud325Qp0AjExURg</recordid><startdate>200801</startdate><enddate>200801</enddate><creator>Scheermesser, M.</creator><creator>Kosow, H.</creator><creator>Rashid, A.</creator><creator>Holtmann, C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200801</creationdate><title>User acceptance of pervasive computing in healthcare: Main findings of two case studies</title><author>Scheermesser, M. ; Kosow, H. ; Rashid, A. ; Holtmann, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c143t-b83d251211ca3cdabb2286cde45d4170cfb432317aa73854d43c40f2bffc0d903</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Cardiovascular diseases</topic><topic>case study</topic><topic>Data privacy</topic><topic>Environmental economics</topic><topic>Information analysis</topic><topic>Information technology</topic><topic>Medical services</topic><topic>Multiple sclerosis</topic><topic>Pervasive computing</topic><topic>Risk analysis</topic><topic>Usability</topic><topic>usefulness</topic><topic>user acceptance</topic><toplevel>online_resources</toplevel><creatorcontrib>Scheermesser, M.</creatorcontrib><creatorcontrib>Kosow, H.</creatorcontrib><creatorcontrib>Rashid, A.</creatorcontrib><creatorcontrib>Holtmann, C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Scheermesser, M.</au><au>Kosow, H.</au><au>Rashid, A.</au><au>Holtmann, C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>User acceptance of pervasive computing in healthcare: Main findings of two case studies</atitle><btitle>2008 Second International Conference on Pervasive Computing Technologies for Healthcare</btitle><stitle>PCTHEALTH</stitle><date>2008-01</date><risdate>2008</risdate><spage>205</spage><epage>213</epage><pages>205-213</pages><issn>2153-1633</issn><isbn>9789639799158</isbn><isbn>9639799157</isbn><abstract>The successful implementation of pervasive computing technologies in healthcare does not only depend on technical issues but also on acceptability and acceptance issues. In this paper we focus on factors that facilitate or inhibit user acceptance of pervasive computing in healthcare. We present selected findings of the research project dasiaPerCoMed - Pervasive Computing in Healthcarepsila. The project is based on two case studies in pre- and post-clinical healthcare. In the first study, the potential of pervasive computing technologies for the treatment of acute cardiovascular diseases is investigated, in the second case study, the potential for the treatment of multiple sclerosis (MS) is evaluated. A qualitative user acceptance analysis of the two case studies shows the following results: the main factor of user acceptance is the perceived medical usefulness. Furthermore, acceptance is strongly inhibited if data privacy or if subjective norms are violated. 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| identifier | ISSN: 2153-1633 |
| ispartof | 2008 Second International Conference on Pervasive Computing Technologies for Healthcare, 2008, p.205-213 |
| issn | 2153-1633 |
| language | eng |
| recordid | cdi_ieee_primary_4571071 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cardiovascular diseases case study Data privacy Environmental economics Information analysis Information technology Medical services Multiple sclerosis Pervasive computing Risk analysis Usability usefulness user acceptance |
| title | User acceptance of pervasive computing in healthcare: Main findings of two case studies |
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