Mobile Reading Attention of College Students in Different Reading Environments: An Eye-Tracking Study

With the widespread adoption of mobile reading across diverse scenarios, understanding environmental impacts on attention has become crucial for reading performance optimization. Building upon this premise, the study examined the impacts of different reading environments on attention during mobile reading, utilizing a mixed-methods approach that combined eye-tracking experiments with semi-structured interviews. Thirty-two college students participated in the study. Quantitative attention metrics, including total fixation duration and fixation count, were collected through eye-tracking, while qualitative data regarding perceived environmental influences were obtained through interviews. The results indicated that the impact of different environments on mobile reading attention varies significantly, as this variation is primarily attributable to environmental complexity and individual interest. Environments characterized by multisensory inputs or dynamic disturbances, such as fluctuating noise and visual motion, were found to induce greater attentional dispersion compared to monotonous, low-variation environments. Notably, more complex potential task-like disturbances (e.g., answering calls, conversations) were found to cause the greatest distraction. Moreover, stimuli aligned with an individual's interests were more likely to divert attention compared to those that did not. These findings contribute methodological insights for optimizing mobile reading experiences across diverse environmental contexts.

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Publication Details

Journal
Behavioral Sciences
Published
2025-07-14
DOI
https://doi.org/10.3390/bs15070953
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
4.17
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article

Mobile Reading Attention of College Students in Different Reading Environments: An Eye-Tracking Study

Xiaoqun Yuan, Qinjun Kang, Mingyu Xu, S. Xu
1 citations
Behavioral Sciences
Technology Adoption and User Behaviour
4.17
article

Mobile Reading Attention of College Students in Different Reading Environments: An Eye-Tracking Study

Xiaoqun Yuan, Qinjun Kang, Mingyu Xu, S. Xu
article en
1 citations

Abstract

With the widespread adoption of mobile reading across diverse scenarios, understanding environmental impacts on attention has become crucial for reading performance optimization. Building upon this premise, the study examined the impacts of different reading environments on attention during mobile reading, utilizing a mixed-methods approach that combined eye-tracking experiments with semi-structured interviews. Thirty-two college students participated in the study. Quantitative attention metrics, including total fixation duration and fixation count, were collected through eye-tracking, while qualitative data regarding perceived environmental influences were obtained through interviews. The results indicated that the impact of different environments on mobile reading attention varies significantly, as this variation is primarily attributable to environmental complexity and individual interest. Environments characterized by multisensory inputs or dynamic disturbances, such as fluctuating noise and visual motion, were found to induce greater attentional dispersion compared to monotonous, low-variation environments. Notably, more complex potential task-like disturbances (e.g., answering calls, conversations) were found to cause the greatest distraction. Moreover, stimuli aligned with an individual's interests were more likely to divert attention compared to those that did not. These findings contribute methodological insights for optimizing mobile reading experiences across diverse environmental contexts.

Behavioral SciencesVol. 15(7)
Wuhan University (CN), Department of Cultural Heritage (LT)
Quality Education
Openalex Percentile: Top 5%
Technology Adoption and User Behaviour
4.17
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Mobile Reading Attention of College Students in Different Reading Environments: An Eye-Tracking Study — Xiaoqun Yuan, Qinjun Kang, et al. · Behavioral Sciences (2025) | TGRS Research Map | TGRS