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Automated usability analysis and visualisation of eye tracking data
Dissertation (MSc)--University of Pretoria, 2014.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2014
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| _version_ | 1867613530799210497 |
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| access_status_str | Open Access |
| author2 | Malan, Katherine Mary |
| author_browse | Malan, Katherine Mary |
| author_facet | Malan, Katherine Mary |
| collection | Thesis |
| dc_rights_str_mv | © 2014 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc)--University of Pretoria, 2014. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/41774 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:37:37.270Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/41774 Automated usability analysis and visualisation of eye tracking data Malan, Katherine Mary Eloff, Jan H.P. De Bruin, Jhani Adre Usability testing Benchmark user Eye tracking M14/9/475/gm UCTD Dissertation (MSc)--University of Pretoria, 2014. Usability is a critical aspect of the success of any application. It can be the deciding factor for which an application is chosen and can have a dramatic effect on the productivity of users. Eye tracking has been successfully utilised as a usability evaluation tool, because of the strong link between where a person is looking and their cognitive activity. Currently, eye tracking usability evaluation is a time–intensive process, requiring extensive human expert analysis. It is therefore only feasible for small–scale usability testing. This study developed a method to reduce the time expert analysts spend interpreting eye tracking results, by automating part of the analysis process. This was accomplished by comparing the visual strategy of a benchmark user against the visual strategies of the remaining participants. A comparative study demonstrates how the resulting metrics highlight the same tasks with usability issues, as identified by an expert analyst. The method also produces visualisations to assist the expert in identifying problem areas on the user interface. Eye trackers are now available for various mobile devices, providing the opportunity to perform large–scale, remote eye tracking usability studies. The proposed approach makes it feasible to analyse these extensive eye tracking datasets and improve the usability of an application. Computer Science unrestricted 2014-08-27T06:38:54Z 2014-08-27T06:38:54Z 2014-09-05 2014 Dissertation De Bruin, JA 2014, Automated usability analysis and visualisation of eye tracking data, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd<http://hdl.handle.net/2263/41774> http://hdl.handle.net/2263/41774 en © 2014 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Usability testing Benchmark user Eye tracking M14/9/475/gm UCTD Automated usability analysis and visualisation of eye tracking data |
| title | Automated usability analysis and visualisation of eye tracking data |
| title_full | Automated usability analysis and visualisation of eye tracking data |
| title_fullStr | Automated usability analysis and visualisation of eye tracking data |
| title_full_unstemmed | Automated usability analysis and visualisation of eye tracking data |
| title_short | Automated usability analysis and visualisation of eye tracking data |
| title_sort | automated usability analysis and visualisation of eye tracking data |
| topic | Usability testing Benchmark user Eye tracking M14/9/475/gm UCTD |
| url | http://hdl.handle.net/2263/41774 |