Modeling user context for Interactive Context Aware TV

Thyagaraju, G S; Kulkarni, Umakant P.

doi:10.1109/iccic.2010.5705881

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…This can be called the importance of the Internet -an example of related work that emphasizes such importance is [1], which researches on the role of social networks in TV second-screen applications. Other works highlight the importance of context in interactive TV applications [10], personalization services [11], [12], and content recommendation [13]. In this sense, Soursos and Doulamis [14] propose a framework in which context has a four- dimension aspect, synthesizing many other related works.…”

Section: Dmentioning

confidence: 98%

“…Research works include context modeling for interactive TV [10], personalization, recommendation, among others [11]. Blanco-Fernández et al [12] propose a personalized tourism system to DTV viewers and model the viewers' profiles with varied information, such as DTV viewing history, preferences from social profiles, specific levels of interest associated with TV contents and tourist resources, etc.…”

Section: Dmentioning

confidence: 99%

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A collaborative TV-Internet application model to enrich TV viewing experience in a pervasive way

Ferraz

Silva

2015

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

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This paper presents an application model for augmenting TV viewing experience. The augmentation consists of additional media resources, which are linked to the Web according to the user profile and to TV metadata. Instead of asking the user for such data, a distributed software system captures them non-intrusively, processes the user and TV program context, and automatically searches for and delivers the context-aware resources to the viewer either on the TV screen or on a second screen. The use of TV metadata as context data is a remarkable feature in this work. Such metadata are carried in the MPEG-2 Transport Stream, which is part of the major digital TV systems in the world. This work deals with problems such as inconsistency of TV metadata, and ineffectiveness of Web search, which could frustrate the viewer's enriched experience. The research indicates that context-aware applications in the television domain should strongly take into account TV metadata captured opportunistically from broadcast streams, in addition to traditional context data, such as location, temperature, device capabilities, among others. The solutions presented in this paper point to a minimum-effort by the TV user, enabling a more useful, easier and more attractive Integrated TV-Internet viewing experience.

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Section: Dmentioning

confidence: 98%

Section: Dmentioning

confidence: 99%

A collaborative TV-Internet application model to enrich TV viewing experience in a pervasive way

Ferraz

Silva

2015

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

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“…In this model, context information is classified into three categories: well-defined, qualitative and credible context information. Thyagaraju et al [7] present an user context model for interactive context aware TV, which is applicable to both single and multiple user environments.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Context-Aware Based Classroom Inquiring System

Liu

Zhou

Zhang

et al. 2013

AMR

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Nowadays, smart phones and tablets have been getting more and more popular. Many applications in various mobile platforms can provide location based service to users but seldom take personalized information into consideration which is usually important for some kinds of applications. In order to solve the popular problem of searching a available classroom on campus to do individual study and provide students with personalized services, in this paper, we design and implementation of a context-aware based available classroom searching system-CACS, which can not only use the users location information but also takes personal preferences into consideration to make this type of applications more convenient and personalized. In this paper, the system model is constructed and some key issues and methods such as weigh based classroom evaluation algorithm are proposed. The prototype system shows that this system can benefit users with good experiences.

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“…[46,47,48,49].There have been studies to combine the fuzzy system and Bayesian networks .Yang proposed fuzzy Bayesian approach that estimates the density function from the conditional probabilities of the fuzzy supported values in order to use continuous value in Bayesian framework. Pan and Liu proposed fuzzy Bayesian network and inference algorithm using virtual nodes and Gaussian functions .However these methods have constraints where observed information should be only one and membership degree sum should be one Our proposed model includes simple and effective fuzzy Bayesian network without those constraints.…”

Section: P(service/context) = ----(18)mentioning

confidence: 99%

Family Aware TV Program and Settings Recommender

Gs¹,

Kulkarni²

2011

IJCA

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In this paper we are proposing a design of TV program and settings recommendation engine utilizing contextual parameters like personal, social, temporal, mood and activity. In addition to the contextual parameters the system utilize the explicit or implicit user ratings and watching history to resolve the conflict if any while recommending the services .The System is implemented exploiting AI techniques ( like ontology, fuzzy logic ,Bayesian classifier and Rule Base) , RDBMS and SQL Query Processing . The motivation behind the proposed work is i) to improve the user's satisfaction level and ii) to improve the social relationship between user and TV. The context aware recommender utilizes social context data as an additional input to the recommendation task alongside information of users and tv programs. We have analyzed the recommendation process and performed a subjective test to show the usefulness of the proposed system for small families.

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Modeling user context for Interactive Context Aware TV

Cited by 7 publications

References 3 publications

A collaborative TV-Internet application model to enrich TV viewing experience in a pervasive way

A collaborative TV-Internet application model to enrich TV viewing experience in a pervasive way

Design and Implementation of a Context-Aware Based Classroom Inquiring System

Family Aware TV Program and Settings Recommender

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