Prof. Katie Seaborn — Research Profile
University of Cambridge · Department of Computer Science and Technology
About
케임브리지 대학교 컴퓨터과학기술학과 소속 Katie Seaborn 교수의 등록된 연구 분야는 Human-Centred Computing, Mobile Systems, Robotics and Automation, Machine Learning and Artificial Intelligence입니다.
Research keywords
Recent papers
- Kawaii Game Vocalics: How Audio and Visual Stimuli Influence Kawaii, Gender, and Age Perceptions of Game CharactersInternational Journal of Human-Computer Interaction · Sep 24
- Amend copyright licences to halt AI misuse and reassert human controlNature · Aug 25
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Varun Kanade 교수 연구실
University of Oxford · Department of Computer Science
Multigroup Fairness and Omniprediction: Separations and EquivalencesPreprintarXiv (Cornell University) · Oct 5Shared topic: Ethics and Social Impacts of AI
Woojung Jon
KAIST · Graduate School of Data Science
Disaggregating artificial intelligence training: a transatlantic framework for copyright and generative AINewComputer law & security review · Oct 13Shared topic: Law, AI, and Intellectual Property
Maneesh Agrawala 교수 연구실
Stanford University · Computer Science
Providing Rapid Design Feedback for 3D Obstacle Course Games Using Constrained Solvability QueriesPreprintarXiv (Cornell University) · Sep 28Shared topic: Digital Games and Media
Other labs in this department
- Alan Blackwell 교수 연구실
Human-Centred Computing, Machine Learning and Artificial Intelligence, Programming Languages, Semantics and Verification
- Alastair Beresford 교수 연구실
Security, Systems and Networking, Programming Languages, Semantics and Verification
- Alice Hutchings 교수 연구실
Security
- Amanda Prorok 교수 연구실
Machine Learning and Artificial Intelligence, Mobile Systems, Robotics and Automation
- Andreas Vlachos 교수 연구실
Natural Language Processing, Machine Learning and Artificial Intelligence
- Andrew W. Moore 교수 연구실
Systems and Networking, Computer Architecture, Machine Learning and Artificial Intelligence, Security