The work aims to explore an age-friendly visual response optimization method for smart washer-dryers based on eye-tracking to address problems such as complex interface elements, unclear operation guidance, insufficient visual feedback and inconsistent cross-terminal interaction in smart washer-dryers used by older adults. Eight smart washer-dryers with varying product designs, operating methods, and levels of intelligence were selected as interface stimulation samples. A home-simulated scenario and a laboratory-controlled scenario were established. Twelve older participants were recruited, and Tobii Pro Glasses 3 wearable eye trackers were used to collect eye-movement data, including fixation duration, fixation count, first fixation time and revisiting behavior. Task performance records, five-point Likert scale ratings and interview results were also combined to analyze visual cognition problems in physical panels and APP interfaces. The experiment showed that older users mainly experienced difficulties in key function discovery, program understanding, icon semantic recognition, operation confirmation, status information comprehension and cross-terminal cognitive transfer during tasks such as program selection, parameter adjustment, start-up confirmation, status checking and APP remote control. Based on these problems, optimization strategies were proposed, including prioritizing core functions, strengthening visual hierarchy, integrating icons with text, enhancing confirmatory feedback, presenting operating status in stages and improving cross-terminal consistency. Prototype validation showed that the optimized design could reduce visual search burden and mis-operation risks, while improving interface clarity, function findability, operation confidence, status understanding and overall satisfaction. Eye-tracking technology can provide objective behavioral evidence for the age-friendly visual response design of smart washer-dryers. The proposed optimization strategies can improve older users' operational efficiency and user experience.
Key words
smart washer-dryer /
age-friendly design /
eye-tracking /
visual response /
user experience /
smart home appliances
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