Situated Knowledge in Context-Aware Computing

2011 ◽  
pp. 179-197
Author(s):  
Fredrik Svahn ◽  
Ola Henfridsson
Keyword(s):  
Ubiquitous Computing ◽  
Central Feature ◽  
Navigation Systems ◽  
Route Guidance ◽  
Context Aware ◽  
Situated Knowledge ◽  
Context Aware Computing ◽  
Actual Use ◽  
Car Navigation

A central feature of ubiquitous computing applications is their capability to automatically react on context changes so as to support users in their mobility. Such context awareness relies on models of specific use contexts, embedded in ubiquitous computing environments. However, since most such models are based merely on location and identity parameters, context-aware applications seldom cater for users’ situated knowledge and experience of specific contexts. This is a general user problem in well-known, but yet dynamic, user environments. Drawing on a sequential multimethod study of in-car navigation, this paper explores the role of situated knowledge in designing and using context-aware applications. This focus is motivated by the current lack of empirical investigations of context-aware applications in actual use settings. In-car navigation systems are a type of context-aware application that includes a set of contextual parameters for supporting route guidance in a volatile context. The paper outlines a number of theoretical and practical implications for context-aware application design and use.

Situated Knowledge in Context-Aware Computing

2009 ◽  
Vol 1 (3) ◽  
pp. 23-41 ◽  
Author(s):  
Fredrik Svahn ◽  
Ola Henfridsson
Keyword(s):  
Ubiquitous Computing ◽  
Central Feature ◽  
Navigation Systems ◽  
Route Guidance ◽  
Context Aware ◽  
Situated Knowledge ◽  
Context Aware Computing ◽  
Actual Use ◽  
Car Navigation

A central feature of ubiquitous computing applications is their capability to automatically react on context changes so as to support users in their mobility. Such context awareness relies on models of specific use contexts, embedded in ubiquitous computing environments. However, since most such models are based merely on location and identity parameters, context-aware applications seldom cater for users’ situated knowledge and experience of specific contexts. This is a general user problem in well-known, but yet dynamic, user environments. Drawing on a sequential multimethod study of in-car navigation, this paper explores the role of situated knowledge in designing and using context-aware applications. This focus is motivated by the current lack of empirical investigations of context-aware applications in actual use settings. In-car navigation systems are a type of context-aware application that includes a set of contextual parameters for supporting route guidance in a volatile context. The paper outlines a number of theoretical and practical implications for context-aware application design and use.

Algorithms to Resolve Conflict in Multiuser Context Aware Ubiquitous Environment

2012 ◽  
Vol 4 (3) ◽  
pp. 42-62
Author(s):  
Thyagaraju G.S. ◽  
U.P. Kulkarni
Keyword(s):  
Ubiquitous Computing ◽  
Rough Set Theory ◽  
Living Room ◽  
Context Aware ◽  
Coffee Shop ◽  
Context Aware Computing ◽  
Multiple Users ◽  
Ubiquitous Environment ◽  
Computing Environments ◽  
Ubiquitous Computing Environments

Conflict resolution in context-aware computing is getting more significant attention from researchers as pervasive/ubiquitous computing environments take into account multiple users and multiple applications. In multi-user ubiquitous computing environments, conflicts among user’s contexts need to be detected and resolved. Conflicts arise when multiple users try to access or try to have a control on an application. In this paper, the authors propose a series of algorithms to resolve conflict which can be embedded in different context aware applications like context aware devices (say TV, Mobile, AC, and Fan) and Context Aware Ambient (like Meeting Room, Living Room, Restaurant, Coffee Shop, etc.). The algorithms discussed in this paper make use of different tools like Probability, Fuzzy Logic, Bayesian Network and Rough set theory. In addition the algorithms utilize various factors like social, personal and environmental. The motto of this paper is to enable context aware applications to offer socialized and personalized services to multiple users by resolving service conflicts among users.

Deploying Pervasive Technologies

2011 ◽  
pp. 1001-1006
Author(s):  
Juan-Carlos Cano ◽  
Carlos Tavares Calafate ◽  
Jose Cano ◽  
Pietro Manzoni
Keyword(s):  
Mobile Computing ◽  
Ubiquitous Computing ◽  
Pervasive Computing ◽  
Handheld Devices ◽  
Battery Life ◽  
Context Aware ◽  
Daily Lives ◽  
Context Aware Computing ◽  
Processing Power ◽  
Ubiquitous And Pervasive Computing

Communication technologies are currently addressing our daily lives. Internet, fixed-line networks, wireless networks, and sensor technologies are converging, and seamless communication is expected to become widely available. Meanwhile, the miniaturization of devices and the rapid proliferation of handheld devices have paved the path towards pervasive computing and ubiquitous scenarios. The term ubiquitous and pervasive computing refers to making many computing devices available throughout the physical environment, while making them effectively invisible to the user (Weiser, 1991). Thanks to advances in the devices’ processing power, extended battery life, and the proliferation of mobile computing services, the realization of ubiquitous computing has become more apparent, being a major motivation for developing location and context-aware information delivery systems. Strongly related to ubiquitous computing is context-aware computing. In context-aware computing, the applications may change or adapt their functions, information, and user interface depending on the context and the client’s profile (Weiser, 1993). Many research centers and industries are actively working on the issues of context-awareness or more generally on ubiquitous computing (Baldauf, Dustdar, & Rosenberg, 2007). In particular, several proposals focus on smart spaces and intelligent environments (Harter, Hopper, Steggeles, Ward, & Webster, 1999; Kindberg et al., 2002; Smart-its, 2007), where it is expected that smart devices all around us will maintain updated information about their locations, the contexts in which they are being used, and relevant data about the users. Clearly, contextual services represent a milestone in today’s mobile computing paradigm, providing timely information anytime, anywhere. Nevertheless, there are still few examples of pervasive computing environments moving out from academic laboratories into our everyday lives. This occurs since pervasive technologies are still premature, and also because it is hard to define what a real pervasive system should be like. Moreover, despite the wide range of services and potential smart applications that can benefit from using such systems, there is still no clear insight about a realistic killer application.

A Study on Route Guidance of a Car Navigation System Based on Augmented Reality

2011 ◽  
Vol 131 (7) ◽  
pp. 897-906
Author(s):  
Kengo Akaho ◽  
Takashi Nakagawa ◽  
Yoshihisa Yamaguchi ◽  
Katsuya Kawai ◽  
Hirokazu Kato ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Navigation System ◽  
Route Guidance ◽  
Car Navigation System ◽  
Car Navigation

Towards Dynamic Checklists

2021 ◽  
Vol 28 (2) ◽  
pp. 1-33
Author(s):  
Leah Kulp ◽  
Aleksandra Sarcevic ◽  
Megan Cheng ◽  
Randall S. Burd
Keyword(s):  
Medical Setting ◽  
Context Aware ◽  
Team Leaders ◽  
Penetrating Injuries ◽  
Context Aware Computing ◽  
In The Wild

The goal of this in-the-wild study was to understand how different patient, provider, and environment contexts affected the use of a tablet-based checklist in a dynamic medical setting. Fifteen team leaders used the digital checklist in 187 actual trauma resuscitations. The measures of checklist interactions included the number of unchecked items and the number of notes written on the checklist. Of the 10 contexts we studied, team leaders’ arrival after the patient and patients with penetrating injuries were both associated with more unchecked items. We also found that the care of patients with external injuries contributed to more notes written on the checklist. Finally, our results showed that more experienced leaders took significantly more notes overall and more numerical notes than less experienced leaders. We conclude by discussing design implications and steps that can be achieved with context-aware computing towards adaptive checklists that meet the needs of dynamic use contexts.

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