Quantitative usability assessment relying on experiential and specific task based SUS ratings. Issue 2 (17th February 2020)
- Record Type:
- Journal Article
- Title:
- Quantitative usability assessment relying on experiential and specific task based SUS ratings. Issue 2 (17th February 2020)
- Main Title:
- Quantitative usability assessment relying on experiential and specific task based SUS ratings
- Authors:
- Sagar, Kalpna
Saha, Anju - Abstract:
- Abstract: This study has two main objectives; one is to present the empirical result that shows how the SUS scores vary when end-users perform usability assessment relying on experience and by executing the assigned list of specific tasks on academic websites. The results are obtained by using independent sample t-test that scrutinizes the slight but significant difference in mean SUS scores among two. Results also investigate that 85.29% of websites have shown higher mean SUS scores when usability assessment is conducted with the assigned list of specific tasks whereas only 14.70% of websites have shown higher mean SUS scores when usability assessment is performed based on the experience. Another aim is to determine the relationship which is found to be strong positive correlation between system effectiveness, an ISO metric, measured as task success rate and subjective usability scores, measured through System Usability Scale (SUS) for 50-academic websites. It concludes that successful completion of the tasks results in high usability scores.
- Is Part Of:
- Journal of statistics & management systems. Volume 23:Issue 2(2020)
- Journal:
- Journal of statistics & management systems
- Issue:
- Volume 23:Issue 2(2020)
- Issue Display:
- Volume 23, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 23
- Issue:
- 2
- Issue Sort Value:
- 2020-0023-0002-0000
- Page Start:
- 333
- Page End:
- 348
- Publication Date:
- 2020-02-17
- Subjects:
- 68P99
Usability Evaluation -- System Usability Scale -- Quantitative Assessment -- Academic Websites -- Usability Metric -- Information processing and Management
Statistics -- Periodicals
Mathematical models -- Periodicals
Mathematical models
Statistics
Periodicals
519.5 - Journal URLs:
- http://www.tandfonline.com/loi/tsms20 ↗
- DOI:
- 10.1080/09720510.2020.1736316 ↗
- Languages:
- English
- ISSNs:
- 0972-0510
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 22694.xml