Enhanced Cognitive Walkthrough: Development of the Cognitive Walkthrough Method to Better Predict, Identify, and Present Usability Problems. (9th October 2013)
- Record Type:
- Journal Article
- Title:
- Enhanced Cognitive Walkthrough: Development of the Cognitive Walkthrough Method to Better Predict, Identify, and Present Usability Problems. (9th October 2013)
- Main Title:
- Enhanced Cognitive Walkthrough: Development of the Cognitive Walkthrough Method to Better Predict, Identify, and Present Usability Problems
- Authors:
- Bligård, Lars-Ola
Osvalder, Anna-Lisa - Other Names:
- Eklundh Kerstin S. Academic Editor.
- Abstract:
- Abstract : To avoid use errors when handling medical equipment, it is important to develop products with a high degree of usability. This can be achieved by performing usability evaluations in the product development process to detect and mitigate potential usability problems. A commonly used method is cognitive walkthrough (CW), but this method shows three weaknesses: poor high-level perspective, insufficient categorisation of detected usability problems, and difficulties in overviewing the analytical results. This paper presents a further development of CW with the aim of overcoming its weaknesses. The new method is called enhanced cognitive walkthrough (ECW). ECW is a proactive analytical method for analysis of potential usability problems. The ECW method has been employed to evaluate user interface designs of medical equipment such as home-care ventilators, infusion pumps, dialysis machines, and insulin pumps. The method has proved capable of identifying several potential use problems in designs.
- Is Part Of:
- Advances in human-computer interaction. Volume 2013(2013)
- Journal:
- Advances in human-computer interaction
- Issue:
- Volume 2013(2013)
- Issue Display:
- Volume 2013, Issue 2013 (2013)
- Year:
- 2013
- Volume:
- 2013
- Issue:
- 2013
- Issue Sort Value:
- 2013-2013-2013-0000
- Page Start:
- Page End:
- Publication Date:
- 2013-10-09
- Subjects:
- Human-computer interaction -- Periodicals
Human-computer interaction
Periodicals
Electronic journals
004.019 - Journal URLs:
- http://bibpurl.oclc.org/web/50279 ↗
https://www.hindawi.com/journals/ahci/ ↗ - DOI:
- 10.1155/2013/931698 ↗
- Languages:
- English
- ISSNs:
- 1687-5893
- 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:
- 10283.xml