User Modeling in Human^Computer Interaction

By Gerhard Fischer. 2000

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Bin Guo
2. Zhu Wang
3. Francesco Ricci
4. Zhiwen Yu
5. Xingshe Zhou
6. Lior Rokach
7. Bracha Shapira
8. Elisa Giaccardi

Citations in the corpus

• Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, positive): “These techniques will be made more powerful if they are aligned with user modelling techniques used in HCI [44].”
• Meta-design: A Framework for the Future of End-User Development (2006, background): “An example that we have studied extensively involves high-functionality applications (HFAs) [Fischer, 2001].”
• Empirical Evaluation of User Models and User-Adapted Systems (2001, background): “For a review of plan recognition see Carberry (2001), for a review of mixed-initiative systems see Zukerman and Litman (2001) and for a review of user modeling in human-computer interaction see Fischer (2001).”
• Introduction to Recommender Systems Handbook (2011, background): “User data is said to constitute the user model [21, 32].”
• User Models for Adaptive Hypermedia and Adaptive Educational Systems (2007, unknown): “For example, in word processing, a user may be an expert in using text annotation, but a novice in formula editing [66].”
• Context-aware support for computer-supported ubiquitous learning (2004, background): “The challenge in an information-rich world is not only to make information available to people at any time, at any place, and in any form, but specifically to say the right thing at the right time in the right way [5].”
• Evaluating Recommendation Systems (2011, unknown): “[15]).”
• Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things (2013, background): “Data anonymization techniques [9], which conceal the identity of users when they contribute/forward data, can be one way to deal with this problem, but there are still many issues to be addressed in the future.”
• Recommender Systems: Introduction and Challenges (2015, background): “User data is said to constitute the user model [12, 22].”