Context as a Dynamic Construct

By Saul Greenberg. Hum. Comput. Interact., 2001

318 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems and Management, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/f76d9d7f774f1a758585888a5d3037c27be83e47

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Bernt Schiele
2. Saul Greenberg
3. Nicky Kern
4. Stavros Antifakos
5. Adrian Schwaninger
6. Fons Wijnhoven
7. Oscar Bloemen
8. Victoria Bellotti

In Information Systems and Management

1. Saul Greenberg
2. Stavros Antifakos
3. Adrian Schwaninger
4. Bernt Schiele
5. Nicky Kern
6. Fons Wijnhoven
7. Oscar Bloemen
8. Victoria Bellotti

In Human-Computer Interaction

1. Bernt Schiele
2. Nicky Kern
3. Stavros Antifakos
4. Adrian Schwaninger
5. Fons Wijnhoven
6. Oscar Bloemen
7. Victoria Bellotti
8. Keith J. Edwards

Citations in the corpus

• Towards improving trust in context-aware systems by displaying system confidence (2005, methodology): “While external things, such as ob jects, the environment, and peo­ple, might be relatively simple to capture internal things such as people s current interests, objectives, and the state of the activity people are pursuing, are extremely di.cult to capture (see Greenberg [10]).”
• Evaluation Strategies for HCI Toolkit Research (2018, background): “Greenberg [29] argued that many contextual situations are not stable, discernable, or predictable, and argued for context-aware applications to explain the inferred context and how they respond to it (what Bellotti & Edwards refer to as “intelligibility” [7]).”
• Intelligibility and Accountability: Human Considerations in Context-Aware Systems (2001, background): “Foremost, we believe that complex machine inferencing based on human context is a difficult proposition, especially when the system attempts to take action based on a presumption of human intent; this is a case also made by others in this issue (Greenberg (2001 [this special issue]), for example).”
• Understanding mobile contexts (2003, background): “about whether the entire concept is of any use [5, 7].”
• External validity of sentiment mining reports: Can current methods identify demographic biases, event biases, and manipulation of reviews? (2014, background): “Amore intensive analysis of review texts can deliver the possible causal relation to any of such events, but often multiple events work together [23].”