A USABILITY RESEARCH ON TASK PREDICTION FOR EXPERIENCED USERS WITH COGTOOL

Year 2019, Volume: 4 Issue: 2, 46 - 53, 31.12.2019

Kaan Arık

Abstract

Rapidly developing technology has offered different alternatives to human beings and the main target of those alternatives has been to respond to human needs. In this process, use of technology has become widespread, but it has brought some problems due to individual differences, digital competencies and generational differences. Conducting an effective process in solving those problems has also increased importance of "Human - Computer Interaction" workspace. It’s not possible to evaluate users as uniform in technology human scope. Undoubtedly, in human computer interaction, user is often assumed to be "human." Cognitive modeling practices have started to be associated with many fields, from fields of psychology, engineering sciences and economics. Over 80% of articles in major theoretical journals of Cognitive Science include cognitive modeling. This research provided by 10 participants, 4 male and 6 female users who actively use Garanti BBVA Bank mobile application. Accordingly, problem of research is to prediction on whether CogTool tool makes a true accurate prediction by participants performing tasks in line with some tasks. KLM, GOMS and other cognitive models are similar to an efficient mean to exclude the application of this process was investigated. According to research results; average time of participants to perform Task 1- 5.54 sec the lowest 4.14 sec and the highest 6.69 sec, average time for Task 2- 8.67 sec the lowest 7.59 sec and the highest 9.45 sec and Task 3- 11.60 sec was in the lowest 10.62 sec and the highest in 13.21 sec. Respectively, CogTool estimates for tasks performed were 6.1 secs for Task 1, 9.9 secs for Task 2 and 12.1 secs for Task 3. Accordingly, difference between real-time experience and CogTool predictions was measured as 0.56 sec in Task 1, 1.23 sec in Task 2 and 0.50 sec in Task 3. In the light of those findings, it’s seen CogTool tool predicts real-time results with a minor rate of error compared to average time in assigned tasks.

Keywords

CogTool, Usability, Cognitive Modeling, Experienced User

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