Context-Awareness Enabling New Business Models in Smart Spaces

Moltchanov, Boris; Mannweiler, Christian; Simoes, Jose

doi:10.1007/978-3-642-14891-0_2

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…Furthermore, different classes of service can be created according to the service being used, or the user being served. A complete list of the explored business models can be found in [MMS10b] and [MMS10a]. Furthermore, it is important to mention that most of the technological developments proposed by this work, are also applicable to other industries and not just advertising.…”

Section: Summary and Impactmentioning

confidence: 99%

Key Enablers for User-Centric Advertising Across Next Generation Networks

Simoes¹

2012

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Telecommunication and Internet services are constantly subject to changes, seeking the customer's full satisfaction. Enriching these services with innovative approaches such as contextaware, social, mobile, adaptable and interactive mechanisms, enables users to experience a variety of personalized services seamlessly across different platforms and technologies. In this sense, advertising is no exception, especially if we consider that it will become the business enabler for next generation services. Nevertheless, currently there is no cross-domain solution capable of delivering real-time advertising across heterogeneous environments or domains, and at the same time, addresses users needs, desires and intentions. This happens because most of the products available today are only used within isolated environments / silos. Therefore, managing advertising campaigns across different verticals is still very complex.However, leveraging on the advances provided by Next Generation Networks (NGNs), together with the design principles inherent to Service Oriented Architectures (SOAs) and capabilities offered by Service Delivery Platforms (SDPs), this scenario is about to change.Based on key conceptual entities called enablers, this work aims to change the current scenario. Enablers are software components, which are designed to address specific needs or requirements, but are generic enough to be reused outside a single domain (through well-defined interfaces).More concretely, this thesis introduces three distinct but complementary enablers. The Human Enabler (HE) provides a real-time context brokerage system capable of securely managing different types of user related data in a standardized way. The Reasoning Enabler (RE) is the result of a well-defined methodology that enables new knowledge to be reasoned, based on previously stored data, by aggregating, correlating and inferring new information about people and their contexts. Lastly, the Session Management Enabler (SME) is responsible for abstracting the communication layers. It provides a context-aware multimedia delivery system capable of personalizing and adapting multimedia content according to a set of user and system pre-defined context data or rules, respectively. Altogether, they form the Converged User-Centric Advertising System (CUCAS) and introduce new features that address the needs of both users and advertisers.The contribution of this research is fourfold: first, it analyzes and compares existing technologies and solutions from Information Technology (IT), telecommunications and advertising worlds. Then, based on the problems identified, a set of requirements is defined, an architecture is proposed and realized into a set of complementary enablers (CUCAS). The third point relates to the validation and evaluation of the developed prototype, which provides a better understanding of the current challenges around next generation advertising systems. Finally, based on the technological innovations, it promotes alternative business models that can change the way ...

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Section: Summary and Impactmentioning

confidence: 99%

Key Enablers for User-Centric Advertising Across Next Generation Networks

Simoes¹

2012

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“…Another dimension of the context, the user history, has been considered for adapting the content presented to the users, for example enabling its proactive presentation in relation to repetitive behavior patterns [6]. Other dimensions, such as the weather or the temperature, have been investigated in a number of research works, including [9] and [15]. As stated in the introduction, in most situations the values related to these variables can't be sensed directly by sensors embedded in the users' devices.…”

Section: Introductionmentioning

confidence: 99%

Designing a Context-Aware Architecture for Emotionally Engaging Mobile Storytelling

Pittarello

2011

Human-Computer Interaction – INTERACT 2011

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“…User's location, environment, identity and time were analyzed at the context definition by Ryan et al [5]. Three different categories of contexts were proposed in [6]: (1) real-time (location, orientation, temperature, noise level, phone profile, battery level, proximity, etc. ); (2) historical (for instance, previous location, and previous humidity and device settings);…”

Section: Introductionmentioning

confidence: 99%

User Preference Model for Conscious Services in Smart Environments

2011

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Awareness of user preferences and analysis of the current situation makes capable to provide user with invasive services in various applications of smart environments. In smart meeting rooms context-aware systems analyze user behavior based on multimodal sensor data and provide proactive services for meeting support, including active control PTZ (pan, tilt and zoom) cameras, microphone arrays, context dependent automatic archiving and web-transmission of meeting data at the interaction. History of interaction sessions between a user and a service is used for knowledge accumulation in order to forecast user behavior during the next visit. The user preference model based on audiovisual data recorded during interaction and statistics of his/her speech activity, requests, movement trajectories and other parameters was implemented for the developed mobile information robot and smart meeting room.

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Context-Awareness Enabling New Business Models in Smart Spaces

Cited by 9 publications

References 7 publications

Key Enablers for User-Centric Advertising Across Next Generation Networks

Key Enablers for User-Centric Advertising Across Next Generation Networks

Designing a Context-Aware Architecture for Emotionally Engaging Mobile Storytelling

User Preference Model for Conscious Services in Smart Environments

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