The violent incident in its personal context.

2004 ◽  
pp. 67-102
Author(s):  
Hans Toch
Keyword(s):  
Violent Incident ◽  
Personal Context

SPREADING ACTIVATION OVER ONTOLOGY-BASED RESOURCES: FROM PERSONAL CONTEXT TO WEB SCALE REASONING

2010 ◽  
Vol 04 (01) ◽  
pp. 59-102 ◽  
Author(s):  
ALAN DIX ◽  
AKRIVI KATIFORI ◽  
GIORGOS LEPOURAS ◽  
COSTAS VASSILAKIS ◽  
NADEEM SHABIR
Keyword(s):  
User Interaction ◽  
Knowledge Bases ◽  
Spreading Activation ◽  
Personal Ontology ◽  
Highly Active ◽  
The Social ◽  
Web Of Data ◽  
Working Set ◽  
Personal Context ◽  
Model Context

This paper describes methods to allow spreading activation to be used on web-scale information resources. Existing work has shown that spreading activation can be used to model context over small personal ontologies, which can be used to assist in various user activities, for example, in auto-completing web forms. This previous work is extended and methods are developed by which large external repositories, including corporate information and the web, can be linked to the user's personal ontology and thus allow automated assistance that is able to draw on the entire web of data. The basic idea is to augment the personal ontology with cached data from external repositories, where the choice of data to fetch or discard is related to the level of activation of entities already in the personal ontology or cached data. This relies on the assumption that the working set of highly active entities is relatively small; empirical results are presented, which suggest these assumptions are likely to hold. Implications of the techniques are discussed for user interaction and for the social web. In addition, warm world reasoning is proposed, applying rule-based reasoning over activated entities, potentially merging symbolic and sub-symbolic reasoning over web-scale knowledge bases.

scholarly journals A personal context-aware multi-device coaching service that supports a healthy lifestyle

2011 ◽  
Author(s):  
Rieks op den Akker ◽  
Randy Klaassen ◽  
Tine Lavrysen ◽  
Gijs Geleijnse ◽  
Aart van Halteren ◽  
...  
Keyword(s):  
Healthy Lifestyle ◽  
Context Aware ◽  
Personal Context

scholarly journals Gambling Data and Modalities of Interaction for Responsible Online Gambling: A Qualitative Study

2020 ◽  
Vol 44 ◽  
Author(s):  
George Drosatos ◽  
Emily Arden-Close ◽  
Elvira Bolat ◽  
Raian Ali
Keyword(s):  
Responsible Gambling ◽  
Tobacco Consumption ◽  
Online Gambling ◽  
Persuasive Messages ◽  
Multiple Stakeholders ◽  
Consommation D’Alcool ◽  
Online Addiction ◽  
Limit Setting ◽  
Personal Context ◽  
Additional Support

Online gambling, as opposed to land-based gambling and other mediums of problematic and addictive behaviour such as alcohol and tobacco consumption, offers unprecedented opportunities for monitoring and understanding users’ behaviour in real-time. It also provides the ability to adapt persuasive messages and interactions that would fit the gamblers usage and personal context. These features open a new avenue for research on the monitoring and interactive utilization of gambling behavioural data. In this paper, we explore the range of data and modalities of interaction which can facilitate richer interactive persuasive interventions, and offer additional support to limit setting, with the ultimate aim of aiding gamblers, who gamble at low to moderate levels, to stay in control of their gambling experience. The exploration is based on our previous research on online addiction and interviews with experts (ne = 13) from different relevant multidisciplinary backgrounds and different points of view. We also interviewed gamblers (ng = 6) about their perception of the utilization of their data for aiding more conscious gambling. Directed at multiple stakeholders, including the gambling software providers, compliance and responsible gambling personnel, as well as policymakers, this paper aims to provide a basis and a reference point for empowering future responsible gambling socio-technical tools through the capture and utilization of relevant online gambling behavioural data.RésuméLe jeu en ligne, contrairement aux formes de jeu hors ligne et à d’autres types de comportements problématiques et de dépendance comme la consommation d’alcool et de tabac, offre des possibilités sans précédent de surveillance et de compréhension du comportement des utilisateurs en temps réel, ainsi que la capacité d’adapter des messages persuasifs et des interactions adaptées à l’utilisation des joueurs et au contexte personnel. Cela ouvre une nouvelle voie pour la recherche sur la surveillance et l’utilisation interactive des données comportementales relatives au jeu. Dans cet article, nous explorons à cette fin la gamme de données et les modalités d’interaction qui peuvent faciliter des interventions persuasives interactives plus riches et permettre un soutien accrû pour l’établissement de limites, dans le but ultime d’aider les joueurs de niveaux faibles à modérés à demeurer en contrôle de leur expérience de jeu. L’exploration est basée sur nos recherches antérieures sur la dépendance en ligne et sur des entretiens avec des experts (ne = 13) issus de différents contextes multidisciplinaires pertinents et ayant différents points de vue. Nous avons également interrogé des joueurs (ng = 6) à propos de leur perception de l’utilisation de leurs données pour contribuer à un jeu plus conscient. Ce document vise à fournir une base et un point de référence pour l’autonomisation de futurs outils socio-techniques du jeu responsable grâce à la saisie et l’utilisation de données pertinentes sur les comportements de jeu en ligne, et il est destiné à de multiples parties prenantes, notamment des fournisseurs de logiciels de jeu, du personnel de conformité et de jeu responsable ainsi que des décideurs.

scholarly journals Mining Personal Context-Aware Preferences for Mobile Users

2012 ◽  
Author(s):  
Hengshu Zhu ◽  
Enhong Chen ◽  
Kuifei Yu ◽  
Huanhuan Cao ◽  
Hui Xiong ◽  
...  
Keyword(s):  
Mobile Users ◽  
Context Aware ◽  
Personal Context
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