PersonisAD: Distributed, Active, Scrutable Model Framework for Context-Aware Services
By M. Assad, D. Carmichael, Judy Kay, Bob Kummerfeld. 2007
142 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Jo Vermeulen
- Brian Y. Lim
- Ashraf Abdul
- Danding Wang
- Anind K. Dey
- Nick Seaver
- Or Biran
- Courtenay V. Cotton
In Computer Vision and Pattern Recognition
- Brian Y. Lim
- Ashraf Abdul
- Danding Wang
- Anind K. Dey
- Jo Vermeulen
- Mohan Kankanhalli
- T. Kuflik
- Bob Kummerfeld
In Electrical and Electronic Engineering
Citations in the corpus
- Toolkit to support intelligibility in context-aware applications (2010, background): “PersonisAD [1] defines a distributed framework to support What explanations by resolving identities and associations of devices, locations, people, etc.”
- Challenges and Solutions of Ubiquitous User Modeling (2012, background): “Notably for pervasive computing, PersonisAD allowed for models that could be distributed [4].”
- Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda (2018, background): “…several software toolkits have been proposed to aid the development of explainable ambient intelligence: PersonisAD for scrutable personalization [8], Per-sonisLF for long-term user models with forgetting [10], En-cators to explain context reasoning [41], and the Intelligibility Toolkit to…”
- Why and why not explanations improve the intelligibility of context-aware intelligent systems (2009, unknown): “PersonisAD [4]).”