Does AI video summary help? The effects of AI-generated video summary

The accelerated life and flourishing short-form videos have squeezed the viability of long-form videos, which play important roles in the diffusion of knowledge. Video summary has been proposed to facilitate video views and knowledge acquisition as a solution to this dilemma. And the emergence of AI has made the solution possible. We propose that AI-generated video summaries may reduce the effort to acquire information, but logical confusion and information loss may reduce the acquired information quality. Based on the effort-accuracy framework, users with different information quality requirements will react differently towards videos with/without AI summary. Therefore, we plan to conduct laboratory experiments to explore whether and how AI summary increases users’ video-watching intention. Moreover, we will also examine whether AI summary usage affects knowledge acquisition quality. We expect to improve the understanding of AI video summary usage and provide insights into how to make it work efficiently.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-10
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
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article

Does AI video summary help? The effects of AI-generated video summary

Journal of the Association for Information Systems
Multimodal Machine Learning Applications
article

Does AI video summary help? The effects of AI-generated video summary

article en

Abstract

The accelerated life and flourishing short-form videos have squeezed the viability of long-form videos, which play important roles in the diffusion of knowledge. Video summary has been proposed to facilitate video views and knowledge acquisition as a solution to this dilemma. And the emergence of AI has made the solution possible. We propose that AI-generated video summaries may reduce the effort to acquire information, but logical confusion and information loss may reduce the acquired information quality. Based on the effort-accuracy framework, users with different information quality requirements will react differently towards videos with/without AI summary. Therefore, we plan to conduct laboratory experiments to explore whether and how AI summary increases users’ video-watching intention. Moreover, we will also examine whether AI summary usage affects knowledge acquisition quality. We expect to improve the understanding of AI video summary usage and provide insights into how to make it work efficiently.

Journal of the Association for Information Systems
Openalex Percentile: Top 59%
Multimodal Machine Learning Applications
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Does AI video summary help? The effects of AI-generated video summary · Journal of the Association for Information Systems (2024) | TGRS Research Map | TGRS