Visual Complexity, Abstraction, and Human Figuration in Healthcare Wayfinding Symbols: An Eye-Tracking Study
Sharifi Nowghabi, A.; Sharghilavan, S.; Bagheri, A.; Izadifar, M.
Show abstract
Wayfinding in hospitals is often hindered by ineffective signage; however, the cognitive mechanisms of healthcare wayfinding symbols comprehension remain under-researched. This study utilized eye-tracking and spatial gaze mapping to examine how visual complexity, abstraction, and human figuration modulate perception in 40 healthy adults viewing 24 hospital-related healthcare wayfinding symbols. Results indicate that pupil size is a sensitive physiological marker of cognitive load, significantly influenced by visual complexity ({chi}2 = 11.32, p = .022) and abstraction ({chi}2 = 7.49, p = .027). Human figuration reduced fixation duration and increased saccade amplitude, facilitating efficient semantic integration. Furthermore, human-centric healthcare wayfinding symbols elicited streamlined gaze trajectories, whereas abstract/complex designs induced chaotic scanpaths. These findings suggest that human figuration acts as a cognitive scaffold, reducing mental effort. We provide evidence-based guidelines for optimizing healthcare wayfinding symbols by prioritizing human body representations and balancing abstraction levels. HighlightO_LIPupil size indexes cognitive load during symbol comprehension. C_LIO_LIHuman figuration cuts fixation duration, boosting wayfinding efficiency. C_LIO_LIAbstract symbols increase pupil dilation, raising cognitive load. C_LI
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Proprioceptive accuracy in immersive virtual reality: A developmental perspective 94%
- Influence of open-source virtual-reality based gaze training on navigation performance in Retinitis pigmentosa patients in a crossover randomized controlled trial 94%
- Reaching articular limits can negatively impact embodiment in virtual reality. 93%
Similar papers in this journal
- Perception of Rigidity in Three- and Four-Dimensional Spaces 93%
- Identification of Target Objects from Gaze Behavior during a Virtual Navigation Task 93%
- Let Me Make You Happy, And I'll Tell You How you look around: Using an Approach-Avoidance Task as an Embodied Emotion Prime in a Free-Viewing Task 91%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.