dc.contributor.author | Joyce, Ger | |
dc.date.accessioned | 2021-03-16T11:53:51Z | |
dc.date.available | 2021-03-16T11:53:51Z | |
dc.date.issued | 2021-02-25 | |
dc.identifier.uri | http://hdl.handle.net/2299/24114 | |
dc.description.abstract | The aim of this programme of research was to build upon prior work regarding the heuristic evaluation of mobile applications in two important areas. A mixed methods approach was taken to address the research questions using questionnaires, semi-structured interviews, document analysis and statistical analyses.
The first contribution of this programme of research was to adapt traditional usability heuristics, so they could be used to more effectively evaluate the usability of mobile applications. The resulting set of mobile application usability heuristics uncovered the highest number of usability issues in absolute terms, as well as the most critical issues within a well-known travel mobile application when compared to two other sets of usability heuristics. In addition, the set of mobile application usability heuristics defined within this programme of research was ranked as the most useful set by participants knowledgeable in the field of human-computer interaction when compared to two other sets of usability heuristics.
The second contribution of this programme of research was to extend the set of mobile application heuristics allowing human-computer interaction researchers and practitioners to more effectively consider the potential impact of context of use on the usability of mobile applications. This addressed a gap in the literature as few effective methods existed for this purpose. The protocol was deemed easy to use, easy to understand and easy to learn by participants knowledgeable in the field of human-computer interaction.
The beneficiaries of this programme of research are human-computer interaction researchers and practitioners, as well as mobile application users.
| en_US |
dc.language.iso | en | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject | Human-Computer Interaction | en_US |
dc.subject | HCI | en_US |
dc.subject | Human Factors | en_US |
dc.subject | User Experience | en_US |
dc.subject | UX | en_US |
dc.subject | mobile applications | en_US |
dc.subject | mobile apps | en_US |
dc.subject | usability | en_US |
dc.subject | context of use | en_US |
dc.subject | heuristic evaluation | en_US |
dc.title | Adaptation of Heuristic Evaluation for Mobile Applications and the Impact of Context of Use | en_US |
dc.type | info:eu-repo/semantics/doctoralThesis | en_US |
dc.identifier.doi | doi:10.18745/th.24114 | * |
dc.identifier.doi | 10.18745/th.24114 | |
dc.type.qualificationlevel | Doctoral | en_US |
dc.type.qualificationname | PhD | en_US |
dcterms.dateAccepted | 2021-02-25 | |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
rioxxterms.version | NA | en_US |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
rioxxterms.licenseref.startdate | 2021-03-16 | |
herts.preservation.rarelyaccessed | true | |
rioxxterms.funder.project | ba3b3abd-b137-4d1d-949a-23012ce7d7b9 | en_US |