Toward a Multidisciplinary Model of Context to Support Context-Aware Computing
Bibliographic Data
| ID | 15216153 |
|---|---|
| Authors | Nicholas Bradley (0000-0003-1136-4240), Nicholas Andrew Bradley (University of Strathclyde, corresponding author), Mark Dunlop (0000-0002-4593-1103, University of Strathclyde) |
| Year | 2005 |
| Volume | 20 |
| Issue | 4 |
| Pages | 403-446 |
| Publication date | 2005-12-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Human-Computer Interaction (JOURNAL) |
| Journal identifiers | ISSN: 0737-0024 • E-ISSN: 1532-7051 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1207/s15327051hci2004_2 |
| OpenAlex | W2158868199 |
| Language | EN |
| Citations received | 2 |
| References cited | 21 |
Capturing, defining, and modeling the essence of context are challenging, compelling, and prominent issues for interdisciplinary research and discussion. The roots of its emergence lie in the inconsistencies and ambivalent definitions across and within different research specializations (e.g., philosophy, psychology, pragmatics, linguistics, computer science, and artificial intelligence). Within the area of computer science, the advent of mobile context-aware computing has stimulated broad and contrasting interpretations due to the shift from traditional static desktop computing to heterogeneous mobile environments. This transition poses many challenging, complex, and largely unanswered research issues relating to contextual interactions and usability. To address those issues, many researchers strongly encourage a multidisciplinary approach. The primary aim of this article is to review and unify theories of context within linguistics, computer science, and psychology. Summary models within each discipline are used to propose an outline and detailed multidisciplinary model of context involving (a) the
Context (archaeology · Data science · Human–computer interaction · Knowledge management · Management science · Multidisciplinary approach · Social science · Sociology · Usability · Computer Science · Context-Aware Activity Recognition Systems · Engineering · IoT and Edge/Fog Computing · Personal Information Management and User Behavior
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,11 |
| Citation span | 2008 - 2016 (9) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |