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Value of Eye-Tracking Data for Classification of Information Processing-Intensive Handling Tasks: Quasi-Experimental
Stephan Wegner1, Quentin Lohmeyer1, Dimitri Wahlen1
1Product Development Group Zurich, Institute of Design, Materials and Fabrication, Department of Mechanical and Process Engineering, Swiss Federal Institute of Technology in Zurich, Zürich, Switzerland.
JMIR Human Factors
|June 4, 2020
Summary
Mobile eye tracking reveals user cognition challenges in medical device interfaces, aiding the development of user-friendly designs for home peritoneal dialysis therapy. This enhances usability for patients and caregivers, improving home healthcare accessibility.
Area of Science:
- Human-Computer Interaction
- Medical Device Design
- Usability Engineering
Background:
- Developing user-friendly medical devices is crucial for enabling home care by non-experts.
- Understanding user interface (UI) design is essential for supporting patients, caregivers, and healthcare professionals.
- User-centric development requires insights into how different UI designs impact user cognition.
Purpose of the Study:
- To investigate user cognition challenges using mobile eye tracking.
- To identify usability obstacles in two distinct user interface designs for a home peritoneal dialysis device.
- To inform the design of intuitive medical devices for home use.
Main Methods:
- 16 participants (8 seniors, 8 young adults) performed seven main tasks on two medical device UI designs.
- Task effectiveness was analyzed, focusing on error-prone tasks.
- Gaze data, including dwell time and fixation duration, were analyzed for critical tasks.
Main Results:
- High task completion rates (97% for design 1, 96% for design 2) were observed.
- Key challenges identified in insertion, connection, and disconnection tasks for both designs.
- A novel graphical representation of eye movement patterns correlated with task performance, highlighting UI feature usability.
Conclusions:
- Mobile eye tracking offers valuable insights into user information processing during complex medical device tasks.
- Evaluating individual UI features enables the creation of optimal, user-friendly designs.
- Improved medical device usability facilitates home care by patients and non-professional caregivers, expanding healthcare access.
