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Accepted for/Published in: JMIR Human Factors

Date Submitted: Jul 2, 2025
Date Accepted: Jan 18, 2026

The final, peer-reviewed published version of this preprint can be found here:

Designing App Interfaces to Elicit Specific Emotional Responses and Improve Attention and Short-Term Memory in Patients With Insomnia Undergoing Brief Cognitive Behavioral Therapy: Within-Subject Eye-Tracking Experimental Pilot Study

Su KC, Chiu HY, Wu KC, Chang Cc

Designing App Interfaces to Elicit Specific Emotional Responses and Improve Attention and Short-Term Memory in Patients With Insomnia Undergoing Brief Cognitive Behavioral Therapy: Within-Subject Eye-Tracking Experimental Pilot Study

JMIR Hum Factors 2026;13:e79883

DOI: 10.2196/79883

PMID: 41712956

PMCID: 12919966

Designing app interface to elicit specific emotional responses as well as improve attention and short-term memory in insomnia patients undergoing brief cognitive behavioral therapy: a pilot study

  • Kuan-Chu Su; 
  • Hsiao-Yean Chiu; 
  • Ko-Chiu Wu; 
  • Chia-chi Chang

ABSTRACT

Background:

Insomniacs have difficulty in both falling asleep and maintaining sleep. Those who suffer from long-term sleep deprivation are prone to poor concentration and impaired memory; however, these problems can be alleviated following brief behavioral treatment for insomnia (BBT-I). This study involved the design of an app called “Sleep Well” that enables insomniacs to easily record their sleep behavior. The app guides users to recall and record sleep-related information, acquire sleep hygiene knowledge, and communicate with therapists online.

Objective:

This study developed how specific sleep diary interface design features in a brief cognitive behavioral therapy for insomnia (BBT-I) app influence users’ attention and short-term memory. Using a combination of objective eye-tracking measures and subjective attention assessments, the study compared three interface designs to determine how visual layout, input modality, and interaction style interact with insomnia symptoms to affect attentional performance, memory accuracy, and user preference.

Methods:

Three sleep diary interfaces were designed, varying background mode (day vs night), color scheme (blue vs green), box shape (circular, rounded rectangular, or rectangular), and input method (slide-in, tap, or type-in). A total of 33 participants completed standardized diary-entry tasks while eye movements were recorded using an eye tracker to capture gaze trajectories and visual attention patterns during app interaction. User experience, subjective attention, and interface preferences were assessed using structured questionnaires. Data were analyzed using descriptive statistics, nonparametric tests, pearson correlation analysis, cross-tabulation analysis, and exploratory factor analysis to examine associations among interface design, attentional performance, memory accuracy, and user characteristics.

Results:

33 participants (39.4% male) aged 20–64 years completed the study; based on ISI, 18.2% had clinical insomnia and 39.4% reported insomnia symptoms. Most participants reported staying up late (66.7%), with over half participants drinking tea (51.5%). Interface design significantly influenced objective attentional performance, as measured by eye-tracking indicators of task efficiency and visual allocation. Sleep quality and insomnia symptoms were consistently associated with attentional and short-term memory outcomes, with memory accuracy varying across interfaces and showing particular sensitivity to sleep maintenance difficulties. Subjective attentional control was strongly associated with both eye-tracking metrics and memory performance, and interface preferences differed by insomnia status.

Conclusions:

Interface design significantly modulates attention and short-term memory performance in users with insomnia. While eye-tracking revealed that insomnia symptoms and sleep quality influence visual attention and task efficiency, subjective attentional control showed stronger and more consistent associations with memory accuracy than physiological eye-movement indicators. These findings suggest that cognitive processing during sleep diary completion relies more on internal attentional states than on observable gaze behavior. Designing low-load, attention-supportive interfaces may therefore improve usability and data accuracy in digital BBT-I interventions.


 Citation

Please cite as:

Su KC, Chiu HY, Wu KC, Chang Cc

Designing App Interfaces to Elicit Specific Emotional Responses and Improve Attention and Short-Term Memory in Patients With Insomnia Undergoing Brief Cognitive Behavioral Therapy: Within-Subject Eye-Tracking Experimental Pilot Study

JMIR Hum Factors 2026;13:e79883

DOI: 10.2196/79883

PMID: 41712956

PMCID: 12919966

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