ACIS 2024 Proceedings

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.

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