1. Medical students' cognitive load in volumetric image interpretation: Insights from human-computer interaction and eye movements
- Author
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Stuijfzand, Bobby G., Van Der Schaaf, Marieke F., Kirschner, Femke C., Ravesloot, Cécile J., Van Der Gijp, Anouk, Vincken, Koen L., Leerstoel van Gog, Hafd Onderwijsadvies en training, Leerstoel van Tartwijk, Education and Learning: Development in Interaction, Leerstoel van Gog, Hafd Onderwijsadvies en training, Leerstoel van Tartwijk, and Education and Learning: Development in Interaction
- Subjects
Medical education ,Cognitive load ,media_common.quotation_subject ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Structural equation modeling ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Arts and Humanities (miscellaneous) ,Volumetric image interpretation ,Perception ,Computer vision ,Psychology(all) ,General Psychology ,media_common ,Eye tracking ,business.industry ,Interpretation (philosophy) ,05 social sciences ,Multilevel model ,050301 education ,Eye movement ,Cognition ,Human-Computer Interaction ,Artificial intelligence ,business ,Psychology ,0503 education ,Cognitive psychology - Abstract
Medical image interpretation is moving from using 2D- to volumetric images, thereby changing the cognitive and perceptual processes involved. This is expected to affect medical students' experienced cognitive load, while learning image interpretation skills. With two studies this explorative research investigated whether measures inherent to image interpretation, i.e. human-computer interaction and eye tracking, relate to cognitive load. Subsequently, it investigated effects of volumetric image interpretation on second-year medical students' cognitive load. Study 1 measured human-computer interactions of participants during two volumetric image interpretation tasks. Using structural equation modelling, the latent variable 'volumetric image information' was identified from the data, which significantly predicted self-reported mental effort as a measure of cognitive load. Study 2 measured participants' eye movements during multiple 2D and volumetric image interpretation tasks. Multilevel analysis showed that time to locate a relevant structure in an image was significantly related to pupil dilation, as a proxy for cognitive load. It is discussed how combining human-computer interaction and eye tracking allows for comprehensive measurement of cognitive load. Combining such measures in a single model would allow for disentangling unique sources of cognitive load, leading to recommendations for implementation of volumetric image interpretation in the medical education curriculum. Display Omitted Image interpretation in medicine moved from 2D- to volumetric images.Cognitive load of students interpreting medical images affected.Human computer interaction and time to locate relevant area predict cognitive load.Insights useful for avoiding cognitive overload in medical curriculum.
- Published
- 2016
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