Effects of emotions on concentration and usage intention to short video viewing among older adults

Concentration and usage intention levels in elderly short video viewers are investigated in relation to emotional influences. The experiment included three short video groups corresponding to positive, neutral, and negative emotional categories. Eye-tracking technology was used to capture real-time changes in the elderly’s concentration, and an OpenCV-based facial emotion recognition system recorded their facial expressions. Additionally, a scale assessed four indicators: information acceptance, valence, concentration, and usage intention. Results showed that high-intensity emotions (e.g., “happy,” “anger,” and “surprised”) significantly enhance concentration. However, the relationship between valence and usage intention was not straightforward; instead, extreme valence levels (either very high or very low) notably impacted usage intention. This indicates that emotional intensity, rather than valence polarity alone, is a key driver in enhancing concentration and increasing usage intention among elderly viewers.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-09-09
DOI
https://doi.org/10.1057/s41599-026-09033-7
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
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article

Effects of emotions on concentration and usage intention to short video viewing among older adults

Zhixuan Cui, Zhichuan Tang, Ruoren Tang, Nuo Chen
Humanities and Social Sciences Communications
Technology Use by Older Adults
article

Effects of emotions on concentration and usage intention to short video viewing among older adults

Zhixuan Cui, Zhichuan Tang, Ruoren Tang, Nuo Chen
article en

Abstract

Concentration and usage intention levels in elderly short video viewers are investigated in relation to emotional influences. The experiment included three short video groups corresponding to positive, neutral, and negative emotional categories. Eye-tracking technology was used to capture real-time changes in the elderly’s concentration, and an OpenCV-based facial emotion recognition system recorded their facial expressions. Additionally, a scale assessed four indicators: information acceptance, valence, concentration, and usage intention. Results showed that high-intensity emotions (e.g., “happy,” “anger,” and “surprised”) significantly enhance concentration. However, the relationship between valence and usage intention was not straightforward; instead, extreme valence levels (either very high or very low) notably impacted usage intention. This indicates that emotional intensity, rather than valence polarity alone, is a key driver in enhancing concentration and increasing usage intention among elderly viewers.

Humanities and Social Sciences Communications
Zhejiang University of Technology (CN)
Openalex Percentile: Top 4%
Technology Use by Older Adults
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