Eliciting User Preferences for Personalized Explanations for Video Summaries

Author:

Inel Oana1,Tintarev Nava1,Aroyo Lora2

Affiliation:

1. Delft University of Technology, Delft, Netherlands

2. Google, New York, NY, USA

Funder

Google Research credits

Google DNI Fund

Publisher

ACM

Reference31 articles.

1. Keyframe-based Video Summarization with Human in the Loop

2. Adaptive Keyframe Selection for Video Summarization

3. Responsive News Summarization for Ubiquitous Consumption on Multiple Mobile Devices

4. VNI Cisco . 2019. Cisco Visual Networking Index: Forecast and Trends , 2017 --2022. White Paper ( 2019). VNI Cisco. 2019. Cisco Visual Networking Index: Forecast and Trends, 2017--2022. White Paper (2019).

5. VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method

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3. Beyond Instructions: A Taxonomy of Information Types in How-to Videos;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

4. Understanding the Role of Explanation Modality in AI-assisted Decision-making;Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization;2022-07-04

5. Fine-tuning machine confidence with human relevance for video discovery;Interactions;2022-06-29

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