Evaluation of change blindness in multimedia learning environment with cognitive process

ABSTRACT

This study aims to investigate the change blindness and cognitive processes with eye-tracking method in multimedia learning environment. For this purpose, a multimedia animation which had some changes was designed. The eye movements were examined during the process of detecting the changes in multimedia via eye-tracking technics. The research model was defined as controlled experiment and survey methods. Twenty-one ungraduated students participated in the experiment. Attention and perception levels of participants were determined by d2 Attention Test and Group Embedded Figures Test. Change detection numbers of participants were analyzed according to their attention level and field dependence. The appearance of a major object on the scene was the most detected change and the change on the detail object was detected less. According to findings about the attention level and change detection, the participants at high attention level were more successful at detecting change in multimedia. It was observed that field-independent individuals could detect the change much more compared to the field-dependent individuals.

KEYWORDS:

• Change blindness
• multimedia learning environment
• change detection
• attention
• field dependence

Disclosure statement

No potential conflict of interest was reported by the author.

ORCID

Duygu Mutlu-Bayraktar http://orcid.org/0000-0002-1026-5606

Notes on contributor

Dr Duygu Mutlu-Bayraktar, received M.S. degree in 2010 from Computer Education and Instructional Technology Department, Hacettepe University, Turkey. She completed her PhD studies from Computer Education and Instructional Technology Department and received a Doctorate degree in the field of Eye Tracking Method about Multimedia Learning from the Marmara University, Turkey in 2014. She has worked as a Research Assistant in Istanbul University since 2008. Her research interests include multimedia learning, instructional design, eye tracking, human–computer interaction, artificial intelligence, and game–based learning. She is currently working on the eye tracking about multimedia learning environment.