Understanding and Using Context
By Anind K. Dey. 2001
5,604 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition
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
- Charith Perera
- Jadwiga Indulska
- Karen Henricksen
- Athanasios V. Vasilakos
- Yongrui Qin
- N. van Berkel
- Stephan Reiff-Marganiec
- Júlio Cezar Estrella
In Computer Vision and Pattern Recognition
- Percy Liang
- Mohan Kankanhalli
- Bernt Schiele
- Dacheng Tao
- Luc Van Gool
- Andreas Bulling
- Trevor Darrell
- Mohit Bansal
Citations in the corpus
- A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, background): “AC CE PT ED M AN US CR IP T any information that can be used to characterize the background or situation of involved entities [53], while the ability to identify and adapt to context is treated as context-awareness.”
- Context-aware systems: A literature review and classification (2009, background): “Emerging ubiquitous or pervasive computing technologies offer 'anytime, anywhere, anyone' computing by decoupling users from devices (Dey, 2001; Hill et al., 2004; Kwon, Choi, & Park, 2005; Kwon, Yoo, & Suh, 2005; Schilit, Adams, & Want, 1994).”
- What Is Personalization? Perspectives on the Design and Implementation of Personalization in Information Systems (2006, background): “Ubiquitous computing and context-aware computing provide customers with services relevant to their current locations, activities, and surrounding environments [22].”
- A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts (2021, background): “[36] for a more detailed definition of context).”
- Evolution of Indoor Positioning Technologies: A Survey (2017, background): “those next-generation systems flexible and robust [1].”
- Outlining the Design Space of Explainable Intelligent Systems for Medical Diagnosis (2019, background): “In the early 2000s, context awareness has raised a lot of concern with the development of mobile devices and sensors [9,42].”
- A survey of context modelling and reasoning techniques (2010, methodology): “In context-aware computing, most approaches for manual situation specification refer to Dey’s context definition [15] as ‘‘any information that can be used to characterise the situation of an entity’’.”
- Detecting Human Behavior Models From Multimodal Observation in a Smart Home (2009, background): “Computerized spaces and their devices need hence to use this situational information, i.e., context [17], to respond correctly to human activity.”
- Recognition of visual memory recall processes using eye movement analysis (2011, background): “Context-awareness has emerged as a key area of research in ubiquitous computing [12].”
- CoOL: A Context Ontology Language to Enable Contextual Interoperability (2003, background): “[6,7,8]), but refine the expressiveness by introducing the terminology of an aspect, which is discussed in detail in section 2.”
- A survey on trust management for Internet of Things (2014, background): “It specifies any information that can be used to characterize the background or situation of the involved entities [5].”
- Fog Computing for Sustainable Smart Cities (2017, background): “An entity is a person, place, or object that is considered relevant to the interaction between a user and an application, including the user and applications themselves” [Dey 2001].”
- Evaluation of contextual information retrieval effectiveness: overview of issues and research (2010, neutral): “the user and applications themselves” [29].”
- Human-machine-interaction in the industry 4.0 era (2014, background): “The context is defined as the set of information that is relevant for the classification of a situation by people or objects and the interaction between users and an information technology application [4].”
- At Home with Ubiquitous Computing: Seven Challenges (2001, background): “All of these modes of intelligence can be found represented in the literature of ubiquitous computing (see [6], for a similar categorization).”
- The nice thing about context is that everyone has it (2015, methodology): “Across subfields like ubiquitous computing and recommender systems research, methods for defining, apprehending, and using ‘context’ are active areas of study (Adomavicius and Tuzhilin, 2011; Anand and Mobasher, 2007; Cooke et al., 2002; Dey, 2001; Lathia, 2014; Panniello et al., 2014).”