Ge (Tiffany) Wang
Themes:
Biography
I’m a Dphil student in the Department of Computer Science at University of Oxford. My research investigates the algorithmic impact on families and children, and what that means for their long-term development. I’m keen to explore the potential for designing more age-appropriate AI for children.
For more information on my research and publications, please visit my personal website: tiffanygewang.com
Selected Publications
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'Don't Make Assumptions about Me!': Understanding Children's Perception of Datafication Online
Ge Wang‚ Jun Zhao‚ Max Van Kleek and Nigel Shadbolt
In Proc. ACM Hum.−Comput. Interact.. Vol. 6. No. CSCW2. November, 2022.
Details about 'Don't Make Assumptions about Me!': Understanding Children's Perception of Datafication Online | BibTeX data for 'Don't Make Assumptions about Me!': Understanding Children's Perception of Datafication Online | DOI (10.1145/3555144) | Link to 'Don't Make Assumptions about Me!': Understanding Children's Perception of Datafication Online
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KOALA Hero: Inform Children of Privacy Risks of Mobile Apps
Jun Zhao‚ Blanche Duron and Ge Wang
In Interaction Design and Children. Pages 523–528. New York‚ NY‚ USA. 2022. Association for Computing Machinery.
Details about KOALA Hero: Inform Children of Privacy Risks of Mobile Apps | BibTeX data for KOALA Hero: Inform Children of Privacy Risks of Mobile Apps | DOI (10.1145/3501712.3535278) | Link to KOALA Hero: Inform Children of Privacy Risks of Mobile Apps
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Informing Age−Appropriate AI: Examining Principles and Practices of AI for Children
Ge Wang‚ Jun Zhao‚ Max Van Kleek and Nigel Shadbolt
In CHI Conference on Human Factors in Computing Systems. New York‚ NY‚ USA. 2022. Association for Computing Machinery.
HONORABLE MENTION
Details about Informing Age−Appropriate AI: Examining Principles and Practices of AI for Children | BibTeX data for Informing Age−Appropriate AI: Examining Principles and Practices of AI for Children | DOI (10.1145/3491102.3502057) | Link to Informing Age−Appropriate AI: Examining Principles and Practices of AI for Children