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Does Infographics Reduce Mind Wandering and Increase Attention?

Authors

  • Mohd khairul Mustakim Mustapa Kamal Pensyarah

DOI:

https://doi.org/10.53840/ejpi.v12i4.264

Keywords:

Eye tracking glasses, Mind Wandering, Information Processing Theory, Fixation and Gaze & Heat Maps

Abstract

This study investigates the effectiveness of infographics in reducing mind wandering among learners by examining their visual attention using eye-tracking technology. Mind wandering, often associated with cognitive overload or disengagement, poses a challenge to effective learning, especially when information is presented textually. To address this, an infographic integrating headings, colour, layout, pattern, shape, and form was designed to explore its potential in sustaining attention. A qualitative case study approach was employed, involving ten graduate students aged 24 to 28 from a public university in northern Malaysia. Data were collected through methodological triangulation: semi-structured interviews as the primary data, supported by eye-tracking metrics such as scan paths and focus points for validation. The findings showed that infographics, compared to textual information with images, were more effective in maintaining attention and reducing mind wandering. Participants reported that visual cues such as arrows and structured information chunks facilitated comprehension and reduced cognitive burden. Eye-tracking data further reinforced these perspectives by demonstrating more focused and less repetitive gaze patterns when interacting with infographics. Although the sample size is limited and context-specific, the combination of qualitative insights and visual behaviour analysis provides meaningful implications for instructional design. It is suggested that educators and designers integrate visual cues, chunked information, and supportive texts in infographic designs to improve learner engagement and decrease mind wandering, especially for content-heavy topics.

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References

Park, J., & Kim, S. (2024). Color psychology in learning design: How color choices

influence attention and comprehension. Learning and Instruction, 89, 102762.

Kalyuga, S., & Singh, A. M. (2024). Revisiting cognitive load in visual learning

environments: Advances and implications for instructional design. Computers &

Education, 210, 105302.

Smallwood, J., & Schooler, J. W. (2024). The restless mind revisited: Twenty years of mind

wandering research. Nature Reviews Psychology, 3(4), 215–230.

Kucuk, S., & Sisman, B. (2024). Visual mental imagery and attention in multimedia

reading: An eye-tracking analysis. Frontiers in Psychology, 15, 1258932.

Wang, X., & Lim, S. (2023). Designing educational infographics for cognitive

engagement: An experimental study. Computers & Education Open, 5, 100142.

Chen, M., & Golan, A. (2023). What may visualization processes optimize?

Cognitive and perceptual foundations revisited. IEEE Transactions on Visualization

and Computer Graphics, 29(1), 51–67.

Sweller, J., van Merriënboer, J. J. G., & Paas, F. (2023). Cognitive load theory:

Research that supports instructional design. Educational Psychology Review, 35(1), 1–25.

Ayres, P., & Paas, F. (2024). Pupillometry in cognitive load research: Advances,

challenges, and applications. Educational Psychology Review, 36(1), 101–126.

Holmqvist, K., & Andersson, R. (2023). Eye tracking: Methods, challenges, and applications

in cognitive and behavioral research. Behavior Research Methods, 55(3), 1245–1263.

Kalyuga, S., & Singh, A. M. (2024). Revisiting cognitive load in visual

learning environments: Advances and implications for instructional design.

Computers & Education, 210, 105302.

Conati, C., & Kardan, S. (2023). Modeling and supporting student attention in

intelligent learning environments. Artificial Intelligence in Education, 33(1), 87–110.

Roda, C., & Nouri, J. (2023). Sustaining attention in the age of digital distraction:

Cognitive limits and educational implications. Computers & Education, 195, 104744.

Mark, G., & Wang, Y. (2024). The shrinking attention span:

A review of cognitive attention and multitasking in the digital era. Trends in Cognitive Sciences,

(2), 155–172.

Park, B., & Brünken, R. (2023). Visual–verbal integration in multimedia learning:

Eye-tracking evidence for dual coding processes. Computers & Education, 194, 104668.

Wolf, M., & Ullman-Shade, C. (2023). The reading brain in the digital world:

How new media reshapes comprehension and interpretation. Trends in Cognitive Sciences,

(9), 712–728.

Kim, J., & Lee, H. (2024). Typographic hierarchy and visual salience in digital

learning design. Information Design Journal, 31(1), 45–61.

Andayani, M., Murtadho, F., & Lustyantie, N. (2024). The impact of infographics on

cognitive enhancement in English language students. IDEAS: Journal on English

Language Teaching and Learning, 12(1), 22–35.

Rayner, K., & Schotter, E. R. (2024). Twenty-first-century eye movement research:

From reading to visual information processing. Journal of Experimental Psychology:

General, 153(1), 44–68.

Machin, D., & Polzer, L. (2023). Language, image, and meaning:

Contemporary semiotics in digital media. Journal of Visual Communication, 22(4), 455–472.

Liu, X., & Henderson, J. M. (2024). Visual saliency and task-driven attention in complex displays.

Vision Research, 223, 108237.

Cowan, N. (2023). Working memory capacity: A 21st-century update. Annual Review

of Psychology, 74, 49–72.

Wallner, M. (2023). Theory-based evaluation and programme theories in nursing.

Nurse Education Today, 115, 105408

Jewitt, C., & Bezemer, J. (2024). Multimodal meaning-making:

Revisiting representation and communication in the AI era. Social Semiotics, 34(1), 1–21.

Moreno, R., & Mayer, R. E. (2024). Multimedia learning in the age of AI:

Revisiting dual-channel processing and cognitive load. Learning and Instruction, 89, 102765.

de Jong, T., & Kirschner, P. A. (2023). Cognitive architecture and instructional design:

How working memory limitations shape learning outcomes. Learning and Instruction,

, 102754.

Theeuwes, J. (2023). Visual selection: Attentional capture and choice. Annual Review of Vision

Science, 9, 489–508.

Belopolsky, A. V. (2022). The priority map for visual attention: New insights from oculomotor

learning. Journal of Experimental Psychology: Human Perception and Performance, 48(2),

–141.

He, S., Chen, Y., Xia, Y., Li, Y., Liang, H.-N., & Yu, L. (2024). Visual harmony: Text-visual interplay

in circular infographics. arXiv preprint arXiv:2402.05798.

Traboco, L. (2022). Designing infographics: Visual representations for enhancing learning and

communication. Journal of Visual Literacy, 41(1), 57–75.

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Published

20-12-2025

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How to Cite

Mustapa Kamal, M. khairul M. (2025). Does Infographics Reduce Mind Wandering and Increase Attention?. E-Jurnal Penyelidikan Dan Inovasi, 12(4), 74–93. https://doi.org/10.53840/ejpi.v12i4.264

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