Browsing by Subject "Personalization"
Now showing items 1-12 of 12
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Changes in the self-rated well-being of people who move from congregated settings to personalized arrangements and group home placements
(2017)A natural experiment contrasted the self-rated well-being of people with intellectual disabilities (n = 75) and those with enduring mental health problems (n = 44) after they moved to new accommodation and support options, ... -
THE DESIGN SPACE OF MOBILE MENTAL HEALTH INTERVENTIONS FOR ANXIETY MANAGEMENT
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)Digital mental health is a rapidly growing area within Human-Computer Interaction. Mental health problems will affect one-third of the population worldwide during their lifetime. At the present moment, anxiety disorders ... -
Engineering Information Systems towards facilitating Scrutable and Configurable Adaptation
(Springer, 2008)End users of Adaptive Hypermedia Systems (AHS) receive an experience that has been tailored towards their specific needs. Several AHS have produced favourable results showing benefits to the user experience [2]. However, ... -
Enhanced Personalized Search using Social Data
(ACL, 2016)Search personalization that considers the social dimension of the web has attracted a significant volume of research in recent years. A user profile is usually needed to represent a user’s interests in order to tailor ... -
Increasing and Decreasing Perceived Bias by Distorting the Quality of News Website Design
(BCS Learning & Development Ltd, 2018)News website design has previously been shown to impact perceived credibility, and one of its core dimensions and measures, bias. This paper demonstrates that by adapting the quality of the visual presentation of webpages ... -
Introducing ADELE: A personalized intelligent companion
(2017)This paper introduces ADELE, a Personalized Intelligent Companion designed to engage with users through spoken dialog to help them explore topics of interest. The system will maintain a user model of information consumption ... -
Measuring Bias in News Websites, Towards a Model for Personalization
(2017)This poster briefly elucidates on a crowdsourced exploratory study demonstrating the impact of common features of news websites' design on perceived bias. Type of news website, user characteristics, and the overall design, ... -
Multilingual User Modeling for Personalized Re-ranking of Multilingual Web Search Results
(2012-07-16)This paper proposes a novel method to represent user models in a multilingual manner which caters for multilingual Web search users. Furthermore, an evaluation is presented which examines a result re-ranking algorithm that ... -
Personalized Type-based Facet Ranking For Faceted Search
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Faceted Search Systems (FSSs) have gained prominence as one of the dominant search approaches in vertical search systems. They provide facets to educate users about the information space and allow them to refine their ... -
Supporting Personalised Information Exploration through Subjective Expert-created Semantic Attributes
(2009)Ordinary users are finding it increasingly difficult to explore the large volumes of diverse data they encounter in their everyday lives. Techniques based on data mining algorithms are useful but they tend to be too complex ... -
Towards Multilingual User Models for Personalized Multilingual Information Retrieval
(ACM, 2011-06-09)The majority of studies in Personalized Information Retrieval (PIR) literature have focused on monolingual IR, and only relatively little work has been done concerning multilingual IR. In this paper we propose a novel ... -
Using Psychometric Approaches in the Modeling of Abstract Cognitive Skills for Personalization, Lifelong User Modelling Workshop
(2009)?Learning to learn? is the informal phrase often used to describe the acquisition of abstract cognitive skills such as metacognition and social cognition. Current personalization approaches within Adaptive Learning Systems ...