Empowered consumers as data providers in the user-centric personal information ecosystem

2021 ◽  
Vol 21 (3) ◽  
pp. 253
Author(s):  
Walter Castelnovo
Keyword(s):  
Personal Information ◽  
User Centric

User-Centric Similarity and Proximity Measures for Spatial Personalization

2010 ◽  
Vol 6 (2) ◽  
pp. 59-78 ◽  
Author(s):  
Yanwu Yang ◽  
Christophe Claramunt ◽  
Marie-Aude Aufaure ◽  
Wensheng Zhang
Keyword(s):  
Information Needs ◽  
Spatial Information ◽  
Personal Information ◽  
Similarity Measures ◽  
Spatial Proximity ◽  
Mobile Environments ◽  
Conceptual Approach ◽  
Semantic Domain ◽  
User Centric ◽  
Proximity Measures

Spatial personalization can be defined as a novel way to fulfill user information needs when accessing spatial information services either on the web or in mobile environments. The research presented in this paper introduces a conceptual approach that models the spatial information offered to a given user into a user-centered conceptual map, and spatial proximity and similarity measures that considers her/his location, interests and preferences. This approach is based on the concepts of similarity in the semantic domain, and proximity in the spatial domain, but taking into account user’s personal information. Accordingly, these spatial proximity and similarity measures could directly support derivation of personalization services and refinement of the way spatial information is accessible to the user in spatially related applications. These modeling approaches are illustrated by some experimental case studies.

User-Centric Similarity and Proximity Measures for Spatial Personalization

2011 ◽  
pp. 128-146
Author(s):  
Yanwu Yang ◽  
Christophe Claramunt ◽  
Marie-Aude Aufaure ◽  
Wensheng Zhang
Keyword(s):  
Information Needs ◽  
Spatial Information ◽  
Personal Information ◽  
Similarity Measures ◽  
Information Services ◽  
Spatial Proximity ◽  
Conceptual Approach ◽  
User Centric ◽  
Proximity Measures ◽  
The Web

Spatial personalization can be defined as a novel way to fulfill user information needs when accessing spatial information services either on the web or in mobile environments. The research presented in this paper introduces a conceptual approach that models the spatial information offered to a given user into a user-centered conceptual map, and spatial proximity and similarity measures that considers her/his location, interests and preferences. This approach is based on the concepts of similarity in the semantic domain, and proximity in the spatial domain, but taking into account user’s personal information. Accordingly, these spatial proximity and similarity measures could directly support derivation of personalization services and refinement of the way spatial information is accessible to the user in spatially related applications. These modeling approaches are illustrated by some experimental case studies.

scholarly journals Protection of Personal Information in User-centric Converged Service Platforms

2010 ◽  
Vol 8 (2) ◽  
pp. 127-134
Author(s):  
J C Yelmo ◽  
C Martinez ◽  
J M del Alamo ◽  
M A Monjas
Keyword(s):  
Personal Information ◽  
User Centric

Integrating perspectives: How the development of second-personal competence lays the foundation for a second-personal morality

2020 ◽  
Vol 43 ◽  
Author(s):  
John Corbit ◽  
Chris Moore
Keyword(s):  
Empirical Evidence ◽  
Developmental Process ◽  
Focal Point ◽  
Personal Information ◽  
Personal Competence ◽  
Triadic Interactions ◽  
Personal Morality ◽  
Integrative Process

Abstract The integration of first-, second-, and third-personal information within joint intentional collaboration provides the foundation for broad-based second-personal morality. We offer two additions to this framework: a description of the developmental process through which second-personal competence emerges from early triadic interactions, and empirical evidence that collaboration with a concrete goal may provide an essential focal point for this integrative process.

Privacy: Users of Pharmaceutical Websites

2002 ◽  
Vol 30 (3) ◽  
pp. 466-474
Keyword(s):  
Personal Information ◽  
District Court ◽  
Traffic Data ◽  
Web Traffic ◽  
Electronic Communications ◽  
Private Action

In In re Pharmatrak, Inc. Privacy Litigation, website users brought suit claiming that major pharmaceutical corporations and a web monitoring company violated three federal statutes protecting electronic communications and data by collecting web traffic data and personal information about website users. On August 13,2002, the District Court of Massachusetts dismissed these allegations, holding that the defendants were parties to the communications and thus exempted under the statutory language.The court also found that plaintiffs had not suffered an amount of damages required to sustain private action.

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