OUPIP

2022 ◽  
pp. 848-872
Author(s):  
Ali Kourtiche ◽  
Sidi mohamed Benslimane ◽  
Sofiane Boukli Hacene
Keyword(s):  
Mobile Phone ◽  
Real Life ◽  
User Profile ◽  
User Model ◽  
Personalized Services ◽  
Dynamic Context

This article aims to propose an ontological user model called OUPIP (Ontology-Based User Profile for Impairment Person), that extends existing ontologies to help designers and developers to adapt applications and devices according to the user's profile, disability and dynamic context. Besides, the approach has been applied in a typical real-life scenario in which personalized services are provided to impairment person through a mobile phone.

OUPIP

2020 ◽  
Vol 10 (2) ◽  
pp. 12-34
Author(s):  
Ali Kourtiche ◽  
Sidi mohamed Benslimane ◽  
Sofiane Boukli Hacene
Keyword(s):  
Mobile Phone ◽  
Real Life ◽  
User Profile ◽  
User Model ◽  
Personalized Services ◽  
Dynamic Context

This article aims to propose an ontological user model called OUPIP (Ontology-Based User Profile for Impairment Person), that extends existing ontologies to help designers and developers to adapt applications and devices according to the user's profile, disability and dynamic context. Besides, the approach has been applied in a typical real-life scenario in which personalized services are provided to impairment person through a mobile phone.

scholarly journals Did the NSA and GCHQ Diminish Our Privacy? What the Control Account Should Say

2020 ◽  
Vol 7 (1) ◽  
pp. 29-48 ◽  
Author(s):  
Leonhard Menges
Keyword(s):  
Mobile Phone ◽  
Personal Information ◽  
Real Life ◽  
Mobile Phone Data ◽  
Standard Account ◽  
Do So

AbstractA standard account of privacy says that it is essentially a kind of control over personal information. Many privacy scholars have argued against this claim by relying on so-called threatened loss cases. In these cases, personal information about an agent is easily available to another person, but not accessed. Critics contend that control accounts have the implausible implication that the privacy of the relevant agent is diminished in threatened loss cases. Recently, threatened loss cases have become important because Edward Snowden’s revelation of how the NSA and GCHQ collected Internet and mobile phone data presents us with a gigantic, real-life threatened loss case. In this paper, I will defend the control account of privacy against the argument that is based on threatened loss cases. I will do so by developing a new version of the control account that implies that the agents’ privacy is not diminished in threatened loss cases.

Adaptive Hypermedia Systems

2019 ◽  
pp. 217-228
Author(s):  
Ana Carolina Tomé Klock ◽  
Isabela Gasparini ◽  
Marcelo Soares Pimenta ◽  
José Palazzo M. de Oliveira
Keyword(s):  
Data Mining ◽  
Adaptive Systems ◽  
User Profile ◽  
User Model ◽  
Social Web ◽  
Adaptive Hypermedia ◽  
Individual Traits ◽  
Adaptive Hypermedia Systems ◽  
Methods And Techniques ◽  
Web Device

Adaptive hypermedia systems are systems that modify the different visible aspects based on the user profile. To provide this adaptation, the system is modeled according to a user model, which stores the information about each user. This information can include knowledge, interests, goals and tasks, background and skills, behavior, interaction preferences, individual traits, and context of the user. This chapter's goal is to introduce adaptive hypermedia systems fundamentals and trends. In this context, this chapter identifies some methods and techniques used to adapt the content, the presentation, and the navigation of the system. In the end, some applications (ELM-ART, Interbook, AHA!, AdaptWeb®) and trends (standardization, data mining, social web, device adaptation, and gamification) are exposed. As a result, this chapter highlights the importance of the improvement and the use of adaptive systems.

Programming a User Model with Data Gathered from a User Profile

2012 ◽  
pp. 235-257 ◽  
Author(s):  
Daniel Scherer ◽  
Ademar V. Netto ◽  
Yuska P. C. Aguiar ◽  
Maria de Fátima Q. Vieira
Keyword(s):  
Human Error ◽  
User Interaction ◽  
User Profile ◽  
User Model ◽  
User Profiles ◽  
User Characteristics ◽  
Human Errors ◽  
User Behaviour ◽  
Electrical Systems ◽  
The Relationship

In order to prevent human error, it is essential to understand the nature of the user’s behaviour. This chapter proposes a combined approach to increase knowledge of user behaviour by instantiating a programmable user model with data gathered from a user profile. Together, the user profile and user model represent, respectively, the static and dynamic characteristics of user behaviour. Typically, user models have been employed by system designers to explore the user decision-making process and its implications, since user profiles do not account for the dynamic aspects of a user interaction. In this chapter, the user profile and model are employed to study human errors—supporting an investigation of the relationship between user errors and user characteristics. The chapter reviews the literature on user profiles and models and presents the proposed user profile and model. It concludes by discussing the application of the proposed approach in the context of electrical systems’ operation.

Agent-Mediated Knowledge Acquisition for User Profiling

2008 ◽  
pp. 1486-1501
Author(s):  
A. Andreevskaia ◽  
R. Abi-Aad ◽  
T. Radhakrishnan
Keyword(s):  
Knowledge Transfer ◽  
Electronic Commerce ◽  
Knowledge Acquisition ◽  
Information Exchange ◽  
Software Agents ◽  
User Profile ◽  
User Model ◽  
User Profiling ◽  
Agent Based

This chapter presents a tool for knowledge acquisition for user profiling in electronic commerce. The knowledge acquisition in e-commerce is a challenging task that requires specific tools in order to facilitate the knowledge transfer from the user to the system. The proposed tool is based on a hierarchical user model and is agent-based. The architecture of the tool incorporates four software agents: processing agent maintaining the user profile, validating agent interacting with the user when information validation is needed, monitoring agent monitoring the effects of the changes made to the user profile, and a filtering agent ensuring the safe information exchange with other software.

User Models for Adaptive Information Retrieval on the Web

2012 ◽  
Vol 3 (3) ◽  
pp. 1-19
Author(s):  
Max Chevalier ◽  
Christine Julien ◽  
Chantal Soulé-Dupuy
Keyword(s):  
Information Retrieval ◽  
Search Engines ◽  
User Profile ◽  
User Model ◽  
User Models ◽  
Search Results ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Adaptive Information Retrieval ◽  
The Web

Searching information can be realized thanks to specific tools called Information Retrieval Systems IRS (also called “search engines”). To provide more accurate results to users, most of such systems offer personalization features. To do this, each system models a user in order to adapt search results that will be displayed. In a multi-application context (e.g., when using several search engines for a unique query), personalization techniques can be considered as limited because the user model (also called profile) is incomplete since it does not exploit actions/queries coming from other search engines. So, sharing user models between several search engines is a challenge in order to provide more efficient personalization techniques. A semantic architecture for user profile interoperability is proposed to reach this goal. This architecture is also important because it can be used in many other contexts to share various resources models, for instance a document model, between applications. It is also ensuring the possibility for every system to keep its own representation of each resource while providing a solution to easily share it.

Context-Aware Applications for the Web

2010 ◽  
pp. 59-82 ◽  
Author(s):  
Florian Daniel
Keyword(s):  
Context Awareness ◽  
Web Applications ◽  
User Profile ◽  
Context Aware ◽  
Web Engineering ◽  
Runtime Adaptation ◽  
Model Driven ◽  
Personalized Services ◽  
Context Data ◽  
Development Approach

Adaptivity (the runtime adaptation to user profile data) and context-awareness (the runtime adaptation to generic context data) have been gaining momentum in the field of Web engineering over the last years, especially in response to the ever growing demand for highly personalized services and applications coming from end users. Developing context-aware and adaptive Web applications requires addressing a few design concerns that are proper of such kind of applications and independent of the chosen modeling paradigm or programming language. In this chapter we characterize the design of context-aware Web applications, the authors describe a conceptual, model-driven development approach, and they show how the peculiarities of context-awareness require augmenting the expressivepower of conceptual models in order to be able to express adaptive application behaviors.

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