The Impact of Dynamic Icons on Mobile APP Interfaces: Evidence from EEG and Eye-tracking Signals

This study investigates the cognitive impact of dynamic icons in mobile interfaces by integrating electroencephalography (EEG) and eye-tracking technologies. Traditional research on mobile app interface design has relied mainly on questionnaire and eye-tracking methods for behavioral analysis. This research adds a new dimension by examining the neural mechanisms associated with dynamic icons. We employed EEG to analyze channel-wise power spectrum density (PSD), focusing on the alpha and theta frequency bands related to attention and working memory. Concurrently, eye-tracking data were analyzed through Areas of Interest (AOIs) and fixation metrics to assess visual attention patterns. The results indicate that dynamic icons significantly enhance neural activity, with a 15% increase in alpha band power and a 20% increase in theta band power compared to static icons. Additionally, eye-tracking data show a 30% increase in total fixation duration on AOIs containing dynamic icons, particularly in the left-top quarter of the mobile interface. This effect was observed without changes in the first fixation duration, suggesting that dynamic icons have a stronger impact on sustained attention rather than on initial capture. These findings highlight that dynamic icons not only attract and maintain visual attention more effectively but also enhance cognitive processing efficiency. This study provides valuable insights for optimizing mobile app interface design, emphasizing the benefits of incorporating dynamic elements to improve user engagement and interface effectiveness.

Authors

Institutions

Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/bibm62325.2024.10822366
Citations
1
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Dynamic Icons on Mobile APP Interfaces: Evidence from EEG and Eye-tracking Signals

Wanzeng Kong, Lu Fang, Ruizhe Yang, Haojie Tao et al.
1 citations
Gaze Tracking and Assistive Technology
0.37
article

The Impact of Dynamic Icons on Mobile APP Interfaces: Evidence from EEG and Eye-tracking Signals

Wanzeng Kong, Lu Fang, Ruizhe Yang, Haojie Tao, Xuanyu Jin, Zhu Li, Yan Li, Jiangtao Qin, Wenjie Hu
article en
1 citations

Abstract

This study investigates the cognitive impact of dynamic icons in mobile interfaces by integrating electroencephalography (EEG) and eye-tracking technologies. Traditional research on mobile app interface design has relied mainly on questionnaire and eye-tracking methods for behavioral analysis. This research adds a new dimension by examining the neural mechanisms associated with dynamic icons. We employed EEG to analyze channel-wise power spectrum density (PSD), focusing on the alpha and theta frequency bands related to attention and working memory. Concurrently, eye-tracking data were analyzed through Areas of Interest (AOIs) and fixation metrics to assess visual attention patterns. The results indicate that dynamic icons significantly enhance neural activity, with a 15% increase in alpha band power and a 20% increase in theta band power compared to static icons. Additionally, eye-tracking data show a 30% increase in total fixation duration on AOIs containing dynamic icons, particularly in the left-top quarter of the mobile interface. This effect was observed without changes in the first fixation duration, suggesting that dynamic icons have a stronger impact on sustained attention rather than on initial capture. These findings highlight that dynamic icons not only attract and maintain visual attention more effectively but also enhance cognitive processing efficiency. This study provides valuable insights for optimizing mobile app interface design, emphasizing the benefits of incorporating dynamic elements to improve user engagement and interface effectiveness.

Suzhou University of Technology (CN), Hangzhou Dianzi University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 35%
Gaze Tracking and Assistive Technology
0.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.