TY - GEN
T1 - The Effect of Static and Dynamic AI-Generated Visual Content on Emotional Recall in the Elderly
AU - Yuan, Quanjingzi
AU - Yu, Mingjiu
AU - Chen, Dengkai
AU - Cao, Ying
AU - Wen, Qian
AU - Shen, Muyao
AU - Lin, Huangjie
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - This study explores the use of Generative Artificial Intelligence (Generative AI) in enhancing emotional reminiscence among older adults, comparing the effects of static images and dynamic videos on emotional arousal and psychological well-being. Twenty-five participants aged 65 and above were assessed using the PAD scale, eye-tracking analysis, and interviews. Results show that both static and dynamic AI-generated content significantly enhance pleasure and dominance, with dynamic videos having a stronger impact on arousal and emotional resonance. Eye-tracking data indicate that dynamic videos better capture and sustain attention, enriching emotional recall. Positive feedback highlights the personalization and emotional relevance of AI content, though concerns about long-term use and privacy persist. The findings suggest that Generative AI offers innovative approaches for emotional reminiscence and psychological support for older adults. Future research should include larger samples, multi-sensory stimuli, and refined ethical standards to ensure safe and effective AI applications in elderly care.
AB - This study explores the use of Generative Artificial Intelligence (Generative AI) in enhancing emotional reminiscence among older adults, comparing the effects of static images and dynamic videos on emotional arousal and psychological well-being. Twenty-five participants aged 65 and above were assessed using the PAD scale, eye-tracking analysis, and interviews. Results show that both static and dynamic AI-generated content significantly enhance pleasure and dominance, with dynamic videos having a stronger impact on arousal and emotional resonance. Eye-tracking data indicate that dynamic videos better capture and sustain attention, enriching emotional recall. Positive feedback highlights the personalization and emotional relevance of AI content, though concerns about long-term use and privacy persist. The findings suggest that Generative AI offers innovative approaches for emotional reminiscence and psychological support for older adults. Future research should include larger samples, multi-sensory stimuli, and refined ethical standards to ensure safe and effective AI applications in elderly care.
KW - Dynamic Content
KW - Emotional Reminiscence
KW - Generative Artificial Intelligence
KW - Older Adults
KW - Psychological Well-being
KW - Visual Content
UR - http://www.scopus.com/inward/record.url?scp=105007723533&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-93418-6_7
DO - 10.1007/978-3-031-93418-6_7
M3 - 会议稿件
AN - SCOPUS:105007723533
SN - 9783031934179
T3 - Lecture Notes in Computer Science
SP - 89
EP - 106
BT - Artificial Intelligence in HCI - 6th International Conference, AI-HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings
A2 - Degen, Helmut
A2 - Ntoa, Stavroula
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th International Conference on Artificial Intelligence in HCI, AI-HCI 2025, held as part of the 27th HCI International Conference, HCII 2025
Y2 - 22 June 2025 through 27 June 2025
ER -
