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The role of eye tracking in usability evaluation of LMS in ODL context. Mr Sam Ssemugabi Ms Jabulisiwe Mabila (Professor Helene Gelderblom) College of Science Engineering and Technology University of South Africa School of Computing.
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The role of eye tracking in usability evaluation of LMS in ODL context Mr Sam Ssemugabi Ms Jabulisiwe Mabila (Professor Helene Gelderblom) College of Science Engineering and Technology University of South Africa School of Computing
Technology has been a part of our everyday environment • for generations. It empowers us and frustrates us, it • simplifies and complicates our life. It separates us and • brings us closer together. But even though we interact with • technology everyday, we easily forget that technology • products are made by people, and that someone, • somewhere should get the credit when technology works • well for us or get the blame when it doesn’t. • (Garrett James, 2003: 7) • Introduction • - Eye Tracking and Usability • - LMS & ODL
Introduction • - Eye Tracking and Usability • - LMS & ODL • Objective of the study • Tasks • Results • Conclusion • Introduction • Problem statement • Methodology • Tasks • Results • Conclusion The role of eye tracking in usability evaluation of LMS in ODL context
The role of eye tracking in usability evaluation of LMS in ODL context Eye tracking is the technique whereby an individual’s eye movements are measured so that the researcher knows both where a person is looking at, at any given time and the sequence in which the eyes are shifting from one location to another . (Poole and Ball, 2006)
Eye tracking metrics • Heat maps • Fixations • Saccades • Eye gaze duration • Area of interest scan path • (AOI) • Nielson, 2006
The role of eye tracking in usability evaluation of LMS in ODL context Usability defined as the extent to which a product can be used by specified users to achieve specified goals with effectiveness, efficiency and satisfaction in a specified context of use. (ISO 9241-11, 1998)
Diversity of student profile in ODL institutions • Young and old • Employed and unemployed • • Rural areas and urban areas • Diverse student profile - widely varying ages, experience, • backgrounds - language, location The ODL Context
Learning Management System (LMS) A LMS software application includes programs for e-learning, administration, documentation, tracking, and reporting, training programs and online events (Ellis, 2009).
Usability assessment of HCI • Include: • Expert evaluation • Heuristic evaluation • Walkthrough • Observation • Retrospective self report • (questionnaires, think aloud) • (Holzinger, 2005) • Other techniques – Eye tracking
The role of eye tracking in usability evaluation of LMS in ODL context Why? The role of eye tracking Usability assessment LMS ODL context – diversity of student population
Who? • First year Unisa students • Registered for End User Computing • (EUC131T) Participants
Methodology • Instruments • Tobii Eye Tracker 1750 • Video recording • Questionnaire • Observations Tobii 1750 eye tracker Unisa , Pretoria School of Computing Usability Laboratory
Task - Objective • Navigation • Reading • Text input ) www.unisa.ac.za https://my.unisa.ac.za/portal/
The Tasks Task 1: Starting from myUnisa homepage, go to myUnisa (use icon or drop down menu) Task 2: Find ‘Claim myLife e-mail’ on myUnisa screen Task 3: Set-up myLife account (Input of student number; Surname, names, date of birth, ID number or Passport/Foreign ID (for foreign students); Click on ‘acknowledge guidelines’ Task 4: Join myUnisa Task 5: Activate your myUnisa password
Discussion of Results • Task 1 Claim myLife e-mail account • Task completion – 67% • Assistance needed – 75% • Errors made – 92 % • Task 2: Join myUnisa • Task completion – 83% • Assistance needed – 42% • Errors made – 58%
Interpretation Problem 1: Terminology Difference between “Claim myLife e-mail account” and “Join myUnisa” not clear “Registration” was selected by two users which gives a completely different screen to “join myUnisa” Problem 2: Process 2 separate processes, passwords mixed up Problem3: Instructions Transition difficulties, moving from “Claim myLife” to “Join myUnisa”. Participants did not knowing what to do next Problem 4: Varying computer literacy levels
The Tasks • Time to complete tasks • Participants who used computers regularly or had • studied computing required an average of 25 • minutes to complete the tasks • Participants without computing experience or who • had not studied computing previously required on • average 54 minutes to complete the tasks
Conclusion Diversity in age, experience, background, and location of ODL students necessitate rigorous usability evaluation Recommendations can be made regarding the interface design based on eye tracking data, and The interpretation of the information collected through eye tracking should be used together with other usability evaluation methods – observation, heuristics, questionnaire