An Operational Definition of Context

Zimmermann, Andreas; Lorenz, Andreas; Oppermann, Reinhard

doi:10.1007/978-3-540-74255-5_42

Cited by 281 publications

(156 citation statements)

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“…However, relations are not necessarily static and may emerge and disappear dynamically by the entities' movements. 51,78 The notion of interaction represents information regarding any possible bilateral and multilateral relation an entity may establish with another entity, with a group of entities, or with the environment.…”

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confidence: 99%

Context‐aware movement analytics: implications, taxonomy, and design framework

Sharif

Alesheikh

2017

WIREs Data Min & Knowl

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Movement of an entity is greatly affected by its internal and external contexts. Such consequential influence has created new paradigms for context-aware movement data mining and analysis. The significance of incorporating contextual information and movement data is becoming quite evident because of the growing interest in context-aware movement analysis. Despite such importance, there is limited consensus among researchers on the definition of context and context-aware system design in movement studies. Therefore, this paper comprehensively reviews current concepts of context and provides a definition and a taxonomy for context in movement analysis. The paper proceeds by providing a definition of context-aware systems in the movement area after a complete review and comparison of the present definitions present in the literature. Inspired by related works, the paper further suggests a holistic three-layer design framework tailored to context-aware systems in movement studies to examine in greater depth the techniques applied during the design stages. The paper outlines the challenges and emergent issues in future research directions in context-aware movement analysis. The present study is an attempt to bridge the gap between solely using context and developing context-aware systems, thus paving the way for further research in movement applications. © 2017 Wiley Periodicals, Inc. How to cite this article:WIREs Data Mining Knowl Discov 2018Discov , 8:e1233. doi: 10.1002Discov /widm.1233 INTRODUCTIONM ovement is intrinsically a continuous phenomenon and is normally recorded as discrete snapshots at different temporal resolutions. The three fundamental sets pertinent to movement are space S (i.e., set of locations/places), time T (i.e., set of instants/intervals), and object O (i.e., set of entities). 1 In this paper, by movement we mean the change in the spatial location of one or more entities (e.g., people, animals, and vehicles) over time, not a change in entities' geometries (e.g., an individual's body parts). Such changes can be represented as a function μ: T ! S, which maps any time to a location in space. The purpose of analyzing movement data in the majority of research fields (e.g., geography, ecology, sociology, and transportation) has focused on the development of insights into the behavior of moving entities. However, the movement behavior of entities is generally associated with their internal states and external factors. 2 In other words, understanding entities' movement greatly depends on recognizing the characteristics attributed to the entity itself (e.g., the entities' purposes and intentions for movement, the entities' perceptions of space) as well as the discovery of geographical circumstances during the movement (e.g., weather conditions and traffic). We, respectively, term these influential variables internal and external contexts in this paper. of 19Because of the progress in sensing, imaging, tracking, and navigation technologies and infrastructures in recent years, unprecedented amount...

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confidence: 99%

Context‐aware movement analytics: implications, taxonomy, and design framework

Sharif

Alesheikh

2017

WIREs Data Min & Knowl

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“…Conceptually observing the local Agent behavior on Service Discovery and Resource Identification interaction, some common elements from context-aware platforms definition (Zimmermann, A., et al, 2007) emerges as necessary to insure the abstraction level and reduced complexity model applied to local Agent.…”

Section: K Context Aware Model -Service Discovery and Resource Identmentioning

confidence: 99%

EducActiveCore: Computational Model to Educational Personalization Based on Multiagent and Context-Aware Computing

Santos

Notargiacomo²

2017

IJLTER

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Abstract. With the growth of online courses and, usage of mobile access allowing students execute educational activities in multiple locales, with variety of data and media content, new perspectives of educational support using different computing models can be observed. Some of most recent evolved computing models stand out in areas like Social Networks Analysis, Artificial Intelligence, Mobile Computing and Context-Aware Computing. Understanding the combination of these computing areas as complementary researches, this work investigates the applications of these computing technics to modeling an intelligent computational engine with educational personalization purposes. In this resume of a research in progress, a reduced implementation prepared as proof of concept simulating aspects of the target model, operates as centralized adaptive engine. The implemented engine, applied Artificial Neural Networks on classification tasks and routing recommendation. A group of 27 students participated in an experiment interacting with the adaptive engine using a mobile application provided. The mobile application allowed tracking of interface during usage flow by students, and provided to students the adaptive engine recommendation results. Around 59% of students confirmed the recommendation effectiveness of adaptive engine. In this experiment, at the end of each participation, students sent feedbacks about application features. The current results indicate the viability of computational model related to automation of classification tasks to environment identification and activity routing recommendation. In brief, the initial experiment presented encouraging results, indicating that the continuity of research could result in a useful tool to online educational platforms.

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“…Refering to Bazire and Brézillon (2005) as well as Zimmermann, Lorenz, and Oppermann (2007), context in the CIC theory is defined as a set of physical or psychological circumstances that determine a color's meaning. Recent color research (e.g., Elliot, Maier, Moller, Friedman, & Meinhardt.…”

Section: What Is Context?mentioning

confidence: 99%

Color in achievement contexts in humans

Meier¹,

Hill²,

Elliot³

et al. 2015

Handbook of Color Psychology

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Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. lightness, chroma, and hue. In this chapter we focus on the hue dimension, primarily on red, blue, and green, since experimental work has focused on these colors. Whilst the other two attributes are also crucial in color research, we do not highlight their significance in this chapter since lightness and chroma were (mostly) held constant across hue conditions in the research Research on nonhuman primates in competitive encounters indicates that red displays and other threat-relevant cues prompt avoidance by conspecifics, as indicated by submission and appeasement gestures and actions (Gerald, Waitt, & Little, 2008;Setchell & Wickings, 2005). In humans, encountering a negative object, event, or possibility, including the possibility of failure, is known to automatically evoke a motivational tendency to avoid that object, event, or possibility (Bargh & Chartrand, 1999;Cacioppo, Gardner, & Berntson, 1999). In addition, research has demonstrated that avoidance motivation in achievement settings evokes anxiety, task distraction, and a number of self-protective processes (e.g., disidentification, selfhandicapping; Birney, Burdick, & Teevan, 1969;Elliot & Church, 2003;Elliot & McGregor, 1999;Hembree, 1988;Osborne, 1995;Zuckerman, Kieffer, & Knee, 1998) that negatively influence performance on tasks requiring flexible mental manipulation (i.e., tasks commonly encountered at school and work). Accordingly, viewing red in an achievement context is posited to impair performance attainment because it evokes avoidance, which in turn, is inimical to performance. The activation, operation, and influence of avoidance motivation in this hypothesized red effect is thought to take place outside of conscious awareness; that is, it acts in an implicit rather than explicit fashion (see Friedman & Förster, 2010).Researchers have begun to explore such red associations in different variants of achievement situations, such as sporting contests, exam-like situations, and competence evaluations within impression formation scenarios. In the remainder of the chapter we provide an overview of empirical work on the effects of red on sport performance, cognitive mechanisms, behavioral processes, and psychophysiological activity in evaluative contexts. Red in evaluative contexts Red in sporting contextsExploring premise 2 and 4 of the CIC theory, several studies have investigated whether color has a psychological impact that influences performance and outcomes in sports. This work was ...

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An Operational Definition of Context

Cited by 281 publications

References 18 publications

Context‐aware movement analytics: implications, taxonomy, and design framework

Context‐aware movement analytics: implications, taxonomy, and design framework

EducActiveCore: Computational Model to Educational Personalization Based on Multiagent and Context-Aware Computing

Color in achievement contexts in humans

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