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Disambiguation of "Ngo, Thao"

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Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System

, , , , , , and . Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 254-264. ACM, (July 2022)Several detail-levels of explanations and their match to individual differences.
DOI: 10.1145/3503252.3531304

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Vo dang Thao

Corinna Thaon Saint André

Christa Thao

Kim Thao Cao-Xuan

Thao Khampé

 

Other publications of authors with the same name

An empirical investigation on user understanding of algorithms.. University of Duisburg-Essen, Germany, (2022)Disagree? You Must be a Bot! How Beliefs Shape Twitter Profile Perceptions., , , and . CHI, page 160:1-160:11. ACM, (2021)Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study., , , , , , and . UMAP (Adjunct Publication), page 175-183. ACM, (2022)Order of Control and Perceived Control over Personal Information., , and . Privacy and Identity Management, volume 576 of IFIP Advances in Information and Communication Technology, page 359-375. Springer, (2019)Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study., , and . UMAP, page 183-191. ACM, (2020)Spot the bot: Investigating user's detection cues for social bots and their willingness to verify Twitter profiles., , , , and . Comput. Hum. Behav., (September 2023)Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System., , , , , , and . UMAP, page 254-264. ACM, (2022)Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details., , , , , , , , , and . IntRS@RecSys, volume 2948 of CEUR Workshop Proceedings, page 55-72. CEUR-WS.org, (2021)Identifying Group-Specific Mental Models of Recommender Systems: A Novel Quantitative Approach., , , and . INTERACT (4), volume 12935 of Lecture Notes in Computer Science, page 383-404. Springer, (2021)"I agree with you, bot!" How users (dis)engage with social bots on Twitter., , , , and . New Media Soc., 26 (3): 1505-1526 (2024)