A USABILITY RESEARCH ON TASK PREDICTION FOR EXPERIENCED USERS WITH COGTOOL

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