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Cognitive Task Analysis Methods
Published in Neville A. Stanton, Paul M. Salmon, Laura A. Rafferty, Guy H. Walker, Chris Baber, Daniel P. Jenkins, Human Factors Methods, 2017
Neville A. Stanton, Paul M. Salmon, Laura A. Rafferty, Guy H. Walker, Chris Baber, Daniel P. Jenkins
The cognitive walkthrough technique is used to evaluate user interface usability. According to Polson et al. (1992), the main driver behind the development of the method was the goal to provide a theoretically based design methodology that could be used in actual design and development situations. Polson et al. go on to comment that the main criticism of existing walkthrough techniques suggests that they are unusable in actual design situations. Based upon traditional design walkthrough techniques and a theory of exploratory learning, the technique focuses upon the usability of an interface, in particular the ease of learning associated with the interface. The procedure comprises a set of criteria that the analyst uses to evaluate each task and the interface under analysis against. These criteria focus on the cognitive processes required to perform the task. The cognitive walkthrough process involves the analyst ‘walking’ through each user action involved in a task step. The analyst then considers each criteria and the effect that the interface has upon the user’s interactions with the device (goals and actions). The criteria used in the cognitive walkthrough technique are presented below and are based on the work of Polson et al. (1992). Each task step or action is analysed separately using these criteria.
Testing Performance Support Products
Published in James R. Williams, Developing Performance Support for Computer Systems, 2004
It is highly recommended that the checklist evaluation be done by the product developer, at least one other developer (preferably an expert) and a performance technologist (or human factors professional). Also, the evaluation will be much more effective if the evaluators simulate the use of the product by going through a number of representative use scenarios during the evaluation. This approach employs the “walkthrough” method as popularized in the “cognitive walkthrough” method. However, the cognitive walkthrough method is primarily an analytical evaluation of the ease of learning a design with reference to attributes correlated with ease of learning. The focus of cognitive walkthrough evaluations is to identify mismatches between the designer’s and user’s view of the task by simulating the user’s problem solving process and determining the probable actions that a user should be able to take without problems imposed by the design (Lewis et al., 1990; Rieman et al., 1991; Wharton et al., 1994).
Basic principles of design
Published in Sara J. Czaja, Walter R. Boot, Neil Charness, Wendy A. Rogers, Designing for Older Adults, 2019
Sara J. Czaja, Walter R. Boot, Neil Charness, Wendy A. Rogers
A cognitive walkthrough is another type of usability evaluation method that is carried out by an experienced evaluator. The idea is to work through a series of tasks from the perspective of the user, considering what the user would know at each step of the task, where confusions might arise, or errors occur. When designing for older adults, the evaluator should have knowledge of age-related physical, sensory, motor, and cognitive limitations (as described in Chapters 2 and 3). A particular focus of the cognitive walkthrough is understanding system usability for new or infrequent users.
A Usability Evaluation Instrument for Pain Management Mobile Applications: An Elderly’s Perspective
Published in International Journal of Human–Computer Interaction, 2022
Umm e Mariya Shah, Thiam Kian Chiew, Yasir Mehmood
Another study (Wildenbos et al., 2015) suggested a framework for the evaluation of mHealth tools for elderly patients. It is a theoretical framework that explains the age-related barriers impacting mHealth’s ease of use. Based on the literature, the researchers identified the age-related barriers and developed an app for the elderly. The usability issues were analyzed via a cognitive walkthrough. The issues were then categorized based on the mHIMSS (mobile Healthcare Information and Management Systems Society) themes and severity ranking was performed as per Neilson’s classification of severity. The usability issues were further mapped with the potential underlying feature of the elderly that could be the reason behind that usability issue. This study concluded that mHIMMS design guidelines are not sufficient for developing highly usable apps and this framework could give insight that can help in the (re)design of the app.