user model Research Papers - Academia.edu (original) (raw)

2025, Springer eBooks

A hard challenge facing developers of online communities is attaining a critical mass of members and subsequently sustaining their participation. We propose a new mechanism for motivating participation in interest-based online communities, which engages non-contributing members (lurkers) by modeling and visualizing the asymmetrical relations formed when reading, evaluating, or commenting other community members' contributions. The mechanism is based on ideas from open user modeling, a new concept of "community energy," with a mechanism of rating contributions and visualizing the rank of contributions in the community interface.

2025, 2008 Eighth IEEE International Conference on Advanced Learning Technologies

The paper presents some experiences of learning with computer in a preschool setting. The framework MEDEA (a Spanish acronym of Methodology and Tools for the Development of Intelligent Environments of Teaching and Learning) is used to define the activities and construct the user models. The result is an environment that has been installed in the class as a new resource and has been used in the classroom combined with traditional learning tasks. The system has been successfully evaluated with children from different countries and cultures.

2025, Educational Technology & …

ISSN 1436-4522 (online) and 1176-3647 (print). © International Forum of Educational Technology & Society (IFETS). The authors and the forum jointly retain the copyright of the articles. Permission to make digital or hard copies of part or... more

2025

The aim of this paper is presenting the recommendation module of the Mathematics Collaborative Learning Platform (PCMAT). PCMAT is an Adaptive Educational Hypermedia System (AEHS), with a constructivist approach, which presents contents and activities adapted to the characteristics and learning style of students of mathematics in basic schools. The recommendation module is responsible for choosing different learning resources for the platform, based on the user's characteristics and performance. Since the main purpose of an adaptive system is to provide the user with content and interface adaptation, the recommendation module is integral to PCMAT's adaptation model.

2025

The aim of this paper is presenting the modules of the Adaptive Educational Hypermedia System PCMAT, responsible for the recommendation of learning objects. PCMAT is an online collaborative learning platform with a constructivist approach, which assesses the user's knowledge and presents contents and activities adapted to the characteristics and learning style of students of mathematics in basic schools. The recommendation module and search and retrieval module choose the most adequate learning object, based on the user's characteristics and performance, and in this way contribute to the system's adaptability.

2025

This document presents the progress and effort made in the design of a dialog system for the virtual characters in DynaLearn. The main purpose of this system is to provide means by which the virtual characters can present relevant system knowledge to the learners in a pedagogically sound manner. After providing an overview of the role of dialogs in interactive learning environments we present the architecture of our approach and describe in detail the functionality of its three main components: Dialog Management, Verbalization and User Modeling.

2025

The web community is witnessing an increase in the amount of available multilingual content and the number of multilingual web users. With this variety, personalized search systems are needed to connect people with relevant content, regardless of the language in which the content is provided, and taking into consideration the user's language capabilities and preferences. Therefore, search personalization algorithms should be developed with the aspect of multilinguality in mind, part of which involves understanding the effect of personalization algorithms on the user's search experience. This leads to an important question: given that users come from different linguistic backgrounds and have different language preferences, would personalization benefit all search users in the same way? This paper addresses this question by conducting an experiment to: (1) evaluate the effectiveness of the multilingual personalization algorithms (multilingual user modeling and multilingual result adaptation); and (2) determine whether multilingual personalization algorithms achieve the same degree of effectiveness for users who have different language preferences.

2025, CHI '11 Extended Abstracts on Human Factors in Computing Systems

Knowing the users' personality can be a strategic advantage for the design of adaptive and personalized user interfaces. In this paper, we present the results of a first trial conducted with the aim of inferring people's personality traits based on their mobile phone call behavior. Initial findings corroborate the efficacy of using call detail records (CDR) and Social Network Analysis (SNA) of the call graph to infer the Big Five personality factors. On-going work includes a largescale study that shall refine the accuracy of the models with a reduced margin of error.

2025, CISM International Centre for Mechanical Sciences

User modeling is traditionally about constructing an explicit representation of the user. We argue against such approach because it overlooks the real nature of the human brain: plasticity and absence of monolithic control. Instead, we suggest to focus not on the modeling of the primary mechanism that explains a user's response but on the mechanisms through which technology can mediate as complex information as subjective responses. Indeed the only way two persons can reach mutual understanding over such responses is social interaction. We propose a novel architecture based on three main components: (1) an elaborate sensory(motor) apparatus, (2) a dynamical memory and (3) an active interface with turn-taking capability. It supports the interactive emergence of a common symbolic language through which user and system can share subjective responses over visual perceptions. We assert that while the "user model" is not explicitly constructed, it reveals in the interactive dialog between the user and the machine.

2025, arXiv preprint arXiv:1206.3258

Abstract: User preferences for automated assistance often vary widely, depending on the situation, and quality or presentation of help. Developing effectivemodels to learn individual preferences online requires domain models that associate observations of user behavior with their utility functions, which in turn can be constructed using utility elicitation techniques. However, most elicitation methods ask for users' predicted utilities based on hypothetical scenarios rather than more realistic experienced utilities. This is especially true in ...

2025, IEEE Transactions on Power Delivery

This paper reviews a number of mathematical models used to represent the nonlinear behavior of the magnetic core of instrument transformers. Models of instrument transformers using these core representations are presented. The transient response of the instrument transformer is compared to actual test results recorded in the laboratory. The paper provides practical guidelines as to which of the physical elements of instrument transformers are important to model during transient studies and which elements could be ignored without sacrificing the accuracy of the simulation results. The electromagnetic transients program (EMTP) data files used to generate the models are also provided in the appendix to help new EMTP users model instrument transformers for evaluation of high-speed protective relaying systems.

2025, Formal Aspects of Computing

This article describes a framework to formally model and analyse human behaviour. This is shown by a simple case study of a chocolate vending machine, which represents many aspects of human behaviour. The case study is modelled and analysed using the Maude rewrite system. This work extends a previous work by Basuki which attempts to model interactions between human and machine and analyse the possibility of errors occurring in the interactions. By redesigning the interface, it can be shown that certain kinds of error can be avoided for some users. This article overcomes the limitation of Basuki's approach by incorporating many aspects of user behaviour into a single user model, and introduces a more natural approach to model human-computer interaction.

2025, Lecture Notes in Computer Science

This paper is a contribution to the modelling of adaptive hypermedia. The main feature of such a system is able to construct its adaptive behaviour easily. It is based on the concept of the active rule (Event-Condition-Action). The advantage of this concept resides in the integration of all existing adaptation techniques in the system. Furthermore, this system allows introducing new adaptation strategies easily. The system architecture consists of three main parts: first the traditional hypermedia subsystem that contains the navigational model, the interface model, and the multimedia resources; second the adaptive subsystem that contains the user model, the semantic network model, the events analyser, and the adaptive behaviour specification entity; third the tasks model which contain the strategic rules bases associated with the adaptive behaviour specification entity, the navigational rules bases associated with the navigational model, and the interface rules bases associated with the interface model.

2025, Proceedings of Third Workshop on Empirical …

Although a number of frameworks exist for the evaluation of Adaptive Hypermedia Systems (AHS), recently suggested layered frameworks have proved useful in identifying the exact cause of the adaptation failure or any other error in the system. This paper presents an evaluation framework for AHS for internet which is an extension of the layered frameworks and adds new dimensions to them. It treats evaluation as an integral part of development process of AHS and also evaluates the successful access of AHS on the internet. The framework has four dimensions which are orthogonal to each other -Environment -the environment in which AHS is accessed, Adaptation -the type of adaptation used, Development Process -software engineering life cycle steps used for developing AHS and the Evaluation Modules -the layers of AHS which are evaluated in context of other dimensions. We are in the process of developing and evaluating an adaptive tutoring system with the authoring tool AHA using this framework where analysis phase has checklists and set of goals prepared according to the requirements. Metrics largely are being used during design, implementation and maintenance phases for the purpose of evaluation. The results of this study will be reported later on.

2025, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Task forces of expert knowledge workers would benefit from more advanced web tools supporting activity awareness and social sensemaking. This paper proposes the design of a task force workspace, which is under development. It introduces the problem through a scenario, specifies requirements, illustrates a modeling approach and the mockups of the functions in the proposed workspace. Design issues and future work are finally discussed.

2025

Hyracks is a new partitioned-parallel software platform designed to run data-intensive computations on large shared-nothing clusters of computers. Hyracks allows users to express a computation as a DAG of data operators and connectors. Operators operate on partitions of input data and produce partitions of output data, while connectors repartition operators' outputs to make the newly produced partitions available at the consuming operators. We describe the Hyracks end user model, for authors of dataflow jobs, and the extension model for users who wish to augment Hyracks' built-in library with new operator and/or connector types. We also describe our initial Hyracks implementation. Since Hyracks is in roughly the same space as the open source Hadoop platform, we compare Hyracks with Hadoop experimentally for several different kinds of use cases. The initial results demonstrate that Hyracks has significant promise as a next-generation platform for dataintensive applications.

2025

Une universite abrite differents acteurs qui ont recours a des systemes de ressources documentaires, des systemes de production d'information, des systemes de recherche d'information. Le recours a l'entrepot de donnees(ED) permet de proposer des solutions pour faire evoluer un Systeme d'Information(SI) en un Systeme d'Information Strategique (SIS). La prise en compte de notre modele de representation de l'utilisateur RU=(T, F, B, A) est traduit par des meta donnees. Nous elaborons egalement les meta donnees propres a l'(ED) qui definissent les meta donnees structurelles et d'accessibilite propres au systeme de pilotage. Afin de proceder au mieux au developpement de notre contribution au (SIS), la meta modelisation de l'(ED) permet d'elaborer un schema directeur pour la construction de l'(ED).

2025

RÉSUMÉ Une université abrite différents acteurs qui ont recours à des systèmes de ressources documentaires, des systèmes de production d'information, des systèmes de recherche d'information. Le recours à l'entrepôt de données(ED) permet de proposer des solutions pour faire évoluer un Système d'Information(SI) en un Système d'Information Stratégique (SIS). La prise en compte de notre modèle de représentation de l'utilisateur RU=(T, F, B, A) est traduit par des méta données. Nous élaborons également les méta données propres à l'(ED) qui définissent les méta données structurelles et d'accessibilité propres au système de pilotage. Afin de procéder au mieux au développement de notre contribution au (SIS), la méta modélisation de l'(ED) permet d'élaborer un schéma directeur pour la construction de l'(ED). ABSTRACT . A university have various actors who use systems of documentary resources, systems of production of information, systems of informa...

2025

Résumé. Nous abordons une nouvelle gouvernance des universités pour faire évoluer un système d'information universitaire en un système d'information stratégique universitaire. Le transfert d'un système d'information en système d'information décisionnel repose sur les bases métiers orientées vers les acteurs de l'université par la prise en compte de la modélisation des utilisateurs. Le développement d'un système d'information global de l'université doit tenir compte de l'évolutivité du contexte de l'université et de la prise en compte des systèmes d'information alternatifs. La question «Comment intégrer la représentation de l'utilisateur dans un Système d'Information Stratégique ?» guide notre démarche. Notre modèle «RUBICUBE» sert de point d'ancrage pour une expérimentation qui met en relief les difficultés techniques et organisationnelles qu'implique la construction d'un entrepôt avec la prise en compte du contexte...

2025

ENT) à leurs utilisateurs. A l'instar des pôles de compétitivité en Entreprise naissent les pôles de recherche et d'enseignement supérieur en Université qui font office de levier dans le développement des universités à l'échelon du territoire voire à un échelon mondial. Apparaît la nécessité de penser à des systèmes d'analyse ou d'évaluation au service de la recherche. Ces ENT offrent d'une part de nouvelles perspectives d'analyses de documents à des fins bibliométriques ou scientométriques et d'autre part permettent la mise en oeuvre d'analyses par la mise en place d'indicateurs au service d'une nouvelle gouvernance des établissements. Après avoir montré la faisabilité de mener une analyse multidimensionnelle sur du contenu documentaire au travers d'une expérimentation, nous développons une application en open source intégrable à une plate forme numérique d'espace collaboratif. Nous focalisons ici autour de l'acteur enseignant-chercheur. Nos développements témoignent que cette application personnalisable en fonction des acteurs peut être utile à l'évaluation de la recherche. La phase expérimentale analyse de façon multidimensionnelle le contenu informatif de groupes de discussion et de listes de diffusion à l'aide d'un entrepôt de données. Ce travail aboutit à des données que nous récupérons pour les intégrer à une plate forme qui permet des analyses OLAP via le web. Les vues proposées sont en fonction des types d'acteurs. L'orientation de la diffusion des produits de la recherche et la nécessaire visibilité des enseignants-chercheurs via des OAI échappent à l'Impact Factor mené par les éditeurs scientifiques.

2025

We construct a parafermionic conformal theory with the symmetry ZN , for N odd, based on the second solution of Fateev-Zamolodchikov for the corresponding parafermio-nic chiral algebra. Primary operators are classified according to their... more

2025, HAL (Le Centre pour la Communication Scientifique Directe)

La pertinence des systèmes multi-agents (SMA) a été démontrée à de nombreuses reprises dans la conception de simulations informatiques ou de jeux vidéo où un certain nombre d'entités autonomes évoluent dans un environnement complexe et dynamique. Les Serious Games (SG) représentent une discipline nouvelle, à la frontière de la simulation et du jeu. Nous pensons qu'une catégorie de SG, ayant pour vocation l'immersion de l'apprenant dans un environnement 3d, représente un banc de test particulièrement intéressant pour les SMA car ils introduisent des problématiques nouvelles et stimulantes pour la communauté. Dans cet article, nous explorons les défis lancés à l'approche SMA par ces SG immersifs. Particulièrement, nous démontrons que l'approche multi-agents orientée interactions IODA, dont l'aptitude à faciliter la conception de simulations a déjà été établie, permet de répondre efficacement à ces nouvelles problématiques. Nous illustrons notre argumentaire en nous basant sur un projet de SG développé dans notre équipe.

2025, nternational Journal of Computer Science and Information Security (IJCSIS), Vol. 23, No. 1, January-February 2025

This paper aims on addressing the issue of irrelevant news content and information overloading among users by providing a personalized summarization model. To achieve this we have developed a personalized news summarization system which provides concise summaries of news articles by extracting keywords according to the user preference, this process analyses the user specific interest like preferred topics, categories and keywords .The summarization system uses NewsAPI to fetch real time data (i.e recent news articles) and uses trained Natural Language Processing(NLP) that contains a hugging face transformers library for text summarization which ensures that the content remains up to date and relavent to the user preference .The architecture of this system is designed to be modular and scalable which enables integration of various components such as data collection, preprocessing, personalization, summarization, and keyword extraction. This system in this research is efficient, reliable and user-friendly which provides a concise and personalised summarization with extracted keywords for user personalized news topics. This research reduces users' burden by making news consumption more efficient and relevant. This also ensures that the user gets focused, personalised and easy to understand summaries by connecting the gap between too much information and the need for their simplicity.

2025, International Journal of Computer Science and Information Security (IJCSIS), Vol. 23, No. 1, January-February

Abstract—This paper aims on addressing the issue of irrelevant news content and information overloading among users
by providing a personalized summarization model. To achieve
this we have developed a personalized news summarization
system which provides concise summaries of news articles by
extracting keywords according to the user preference, this process
analyses the user specific interest like preferred topics, categories
and keywords .The summarization system uses NewsAPI to
fetch real time data (i.e recent news articles) and uses trained
Natural Language Processing(NLP) that contains a hugging face
transformers library for text summarization which ensures that
the content remains up to date and relavent to the user preference
.The architecture of this system is designed to be modular and
scalable which enables integration of various components such
as data collection, preprocessing, personalization, summarization,
and keyword extraction. This system in this research is efficient, reliable and user-friendly which provides a concise and
personalised summarization with extracted keywords for user
personalized news topics. This research reduces users’ burden
by making news consumption more efficient and relevant. This
also ensures that the user gets focused, personalised and easy to
understand summaries by connecting the gap between too much
information and the need for their simplicity.
Index Terms—Personalized news summarizer, Keyword extraction, News API.

2025, IEEE Communications Magazine

2025, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

Historical user activity is key for building user profiles to predict the user behavior and affinities in many web applications such as targeting of online advertising, content personalization and social recommendations. User profiles are temporal, and changes in a user's activity patterns are particularly useful for improved prediction and recommendation. For instance, an increased interest in car-related web pages may well suggest that the user might be shopping for a new vehicle.In this paper we present a comprehensive statistical framework for user profiling based on topic models which is able to capture such effects in a fully unsupervised fashion. Our method models topical interests of a user dynamically where both the user association with the topics and the topics themselves are allowed to vary over time, thus ensuring that the profiles remain current. We describe a streaming, distributed inference algorithm which is able to handle tens of millions of users. Our results show that our model contributes towards improved behavioral targeting of display advertising relative to baseline models that do not incorporate topical and/or temporal dependencies. As a side-effect our model yields humanunderstandable results which can be used in an intuitive fashion by advertisers.

2025

Despite the rapid proliferation of SNGs, the various factors of enjoyment and their influence on SNGs' popularity attract little research attention. Hence, the objective of this paper is two-fold. First, it attempts to formulate a theoretical framework that specifies the factors affecting enjoyment in SNGs. Second, it seeks to investigate the degree to which different enjoyment factors in the theoretical framework affect SNGs' popularity. On the basis of the literature, five enjoyment factors in SNGs, namely, emotion, control, immersion, social interaction and usability have been identified. The dataset comprised 100 randomly selected SNGs from a recommended list in Facebook. Enjoyment factors for each SNG were evaluated by a team of three coders while the popularity of each SNG was measured in terms of the number of Monthly Active Users reported in Facebook as of April 2012. The results from the regression analysis indicate that the five enjoyment factors collectively account for 54.80 % of variability in the popularity of SNGs. Furthermore, emotion, control and social interaction were significant antecedents of popularity. The paper concludes with a few limitations and offers some directions for future research.

2025, 38th Annual IEEE Conference on Local Computer Networks - Workshops

Hanoi city is currently dealing with rapidly increasing air pollution that result from variety of sources. The main cause of pollution is exhaust gas from traffic system with a very large number of private vehicles. In order to help the city's environment authorities monitor the level of air pollution, a wireless sensor network is currently under development to collect traffic pollution data measured by a number of gas sensors. This paper focuses on how to process pollution data and visualize level of pollution relying on available datasets collected from sensor network. The volume of data collected from each area of the city can be very large and dynamic due to the number of mobile sensors deployed in the same area at the same time and their measurement frequency. First, we present a method for processing raw data using calibration and data clustering techniques. Second, we describe how measurement datasets are visually represented on the city's online map on the basis of mathematical interpolation method that corresponding to characteristics of environmental data. And then we also use computer graphic technique to improve the visualization quality. Finally, this paper show the result of those methods with sample data collected from an urban district of Hanoi City on a website by which we do not only provide to viewer the actual level of pollution by position but also by time.

2025, 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns

Environments (ILE) requires knowledge on these ILEs: their teaching description (type of activities, parameters for exercises generation, etc.) and their technical description (files location, content of configuration files, etc.). To make possible to support this personalization, we propose a meta-model to acquire, in interaction with an expert, relevant knowledge necessary to personalize an ILE. We combine this meta-model with two processes: the first one uses the meta-model in order to create a specific model to an ILE, and the second uses this model to personalize the ILE.

2025, International Conference on Human-Computer Interaction

Usability testing typically focuses on methodology and metrics, while the specific interactions being tested are chosen in an ad hoc way. This paper demonstrates a framework for organizing interaction scenarios for graphical user interfaces (GUI). The framework is an adaptation of the two-dimensional abstraction hierarchy introduced by Rasmussen [1] in which an interaction consists of a purpose, functionality, and form. Interactions for a GUI are organized into four main categories, with numerous subtasks. The four main categories determined are 1) object manipulation, 2) content manipulation, 3) view manipulation, and 4) information presentation. The general framework can guide evaluators in choosing key interaction scenarios for GUI applications across a diverse array of user capabilities.

2025, Sciences, Electroniques, Technologies de l'Information et des Télécommunications, SETIT2003, Sousse, Tunisie

Résumé: Dans un travail collaboratif à distance, chaque utilisateur a une perception limitée des actions des autres participants. L'utilisation d'humanoïdes virtuels dans un environnement virtuel collaboratif permet d'améliorer la représentation des utilisateurs. Nous proposons une interface hybride 2D+ 3D consistant à immerger l'interface 2D d'une application partagée dans un monde virtuel habité et à représenter chacune des actions d'un utilisateur sur l'application 2D par une action de son avatar dans l'espace 3D. MOTS- ...

2025

This paper describes a novel way of initialising an individual user model concerning this particular user's retention capabilities. The initialisation is obtained through a simple memory game that the user has to play for some time. Thus the memory game is considered as an initialisation application. The initialised user model may then be used in another application, the target application, that needs to have information about the user's retention capabilities. Such application may be an Intelligent Tutoring System (ITS) that models the student's cognitive state and the way s/he learns. In this way, the memory game application serves as a pleasant way for the initialisation of the student model which collects information concerning the memory retention capabilities of the player according to a cognitive psychology model of human memory. The game is easy, small and portable, being able to run everywhere even in mobile phones, more specifically smart phones.

2025, Proceedings Eight AAAI

One of the most important features an intelligent tutoring system (ITS for short) should provide, is the capability to adapt its behavior to the specific traits of the student. To this purpose, a fundamental contribution is given by the... more

2024, International Journal of Emerging Technologies in Learning (iJET)

The core of adaptive system is user model containing personal information such as knowledge, learning styles, goalsâ?¦ which is requisite for learning personalized process. There are many modeling approaches, for example: stereotype, overlay, plan recognitionâ?¦ but they donâ??t bring out the solid method for reasoning from user model. This paper introduces the statistical method that combines Bayesian network and overlay modeling so that it is able to infer userâ??s knowledge from evidences collected during userâ??s learning process.

2024, IEEE Communications Letters

This letter proposes a novel method for multimedia service retrieval. Similarity measure is used to create a user model and then to determine the correspondence between this model and the available services. Only the top-ranked services... more

2024

This paperp rovides as napshot of the state-of-the-art in information retrieval and information extraction from text through as election of commercial, market-leading tools. Rooted in aresearchproject conducted for the Belgian Police,w eg ivea no verview of the main (desired) features provided or lackedb yt hese tools, along with their measured qualityinoperation. Various shortcomings and suggestions for improvementw ill be formulated.

2024, User Modeling and User-Adapted Interaction

In this paper we present our approach to user modeling for a personalized selection of multimedia content tested on a corpus of TV programmes. The idea of this approach is to classify content (TV programmes) based on the calculation of similarities between the description of content and the user model for each description attribute. Calculated similarities are then combined into a classification decision using the Support Vector Machines. The basis for the calculation of similarities is a hierarchical structure of the user model, overlaid upon a taxonomy of TV programme genres. Preliminary results show that it works well with a varying quality of content descriptions including incomplete genre classification and arbitrary number of description attributes. The evaluation of the system performance was based on content described using the TV-Anytime standard, but the approach can be adapted for search of other types of content with multi-attribute descriptions.

2024

We present a novel approach to the creation of user-generated, documentary video using a distributed network of sensorenabled video cameras and wearable on-body sensor devices. The wearable sensors are used to identify the subjects in view of the camera system and label the captured video with real-time human-centric social and physical behavioral information. With these labels, massive amounts of continually recorded video can be browsed, searched, and automatically stitched into cohesive multimedia content. This system enables naturally occurring human behavior to drive and control a multimedia content creation system in order to create video output that is understandable, informative, and/or enjoyable to its human audience. The collected sensor data is further utilized to enhance the created multimedia content such as by using the data to edit and/or generate audio score, determine appropriate pacing of edits, and control the length and type of audio and video transitions directl...

2024, Genetic Resources and Crop Evolution

In this paper, we propose a strategy for designing dialogue managers in spoken dialogue systems for a restricted domain. This strategy combines several information sources intuition, observation and simulation, in order to maximize the adaptation within the system capability and the expectation of the user. These sources are combined by an iterative process consisting of five steps, where different dialogue alternatives are proposed and evaluated sequentially. The evaluation process includes different measures depending on the information required. Several measures are proposed and analyzed in each step. We also describe a user-modeling technique and an approach for designing the confirmation sub-dialogues based on recognition confidence measures. The knowledge-combining methodology is described and applied to a railway information system. In a subjective evaluation, users from the university gave the system a 3.9 score on a 5-point scale with an average call duration of 205 seconds. The employers of the railway company were more critical of the system. They gave it a score of 2.1 even though the system resolved more than half of the calls (57.8%) within an average call duration of three minutes (185 seconds).

2024, Lecture Notes in Computer Science

The design of a user interface usable by blind people sets specific usability requirements that are unnecessary for sighted users. These requirements focus on task adequacy, dimensional trade-off, behaviour equivalence, semantic loss avoidance and device-independency. Consequently, the development of human-computer interfaces (HCI) that are based on task, domain, dialog, presentation, platform and user models has to be modified to take into account these requirements. This paper presents a user interface model for blind people, which incorporates these usability requirements into the above HCI models. A framework implementing the model has been developed and implemented in an electronic speaking bilingual software environment for blind or visually impaired people and in an educational system for children with special educational needs.

2024, Formal Aspects of Computing

The correct functioning of interactive computer systems depends on both the faultless operation of the device and correct human actions. In this paper, we focus on system malfunctions due to human actions. We present abstract principles that generate cognitively plausible human behaviour. These principles are then formalised in a higher-order logic as a generic, and so retargetable, cognitive architecture, based on results from cognitive psychology. We instantiate the generic cognitive architecture to obtain specific user models. These are then used in a series of case studies on the formal verification of simple interactive systems. By doing this, we demonstrate that our verification methodology can detect a variety of realistic, potentially erroneous actions, which emerge from the combination of a poorly designed device and cognitively plausible human behaviour.

2024, ailab.dimi.uniud.it

Abstract. AP-WEB 2.0, the International Workshop on Adaptation and Personalization for Web 2.0, held in Trento in connection to the first and seventeenth international conference on User Modeling, Adaptation and Personalization, UMAP 2009, aimed at discussing the challenges and approaches in adaptation and personalization for Web 2.0. Here we present an overview of the workshop. Thirteen full papers and five short papers were accepted, covering both theoretical and practical aspects of Personalization for Web 2.0. The papers ...

2024, User-Centered Interaction Paradigms for Universal Access in the Information Society

The demand for universal access to information in the evolving Information Society produces an inexorable move towards complex, powerful and interlinked technological solutions. In this context, user requirements must be captured by more powerful user models, based upon more advanced user centred methods. Traditional HCI techniques may not work well in the new context of future and emerging technologies. Earlier work [1] observed significant dissociations between observed task performance and self report, raising profound and serious problems for user modelling methods. This empirical paper evaluates three different types of method used in user modelling; task performance, self-report and the personality inventory. Four case studies with individuals with acquired disabilities are reported here. The relationships between these three aspects of the user's profile (self report, task performance and the personality inventory) are more complex than expected and provide different, sometimes contradictory, perspectives of user needs. A potential explanatory framework is offered briefly to guide future user modelling work. More importantly, any code of practice for Universal Access must not rely on any one method alone but must combine methods to minimise conceptual and practical errors. User profiles for adaptive technology must also employ multiple methods, if such technology is to be reliable in practice.

2024, International Journal of Emerging Technologies in Learning (iJET)

2024

The research we have carried out relates to the personalization of learning thanks to the exploitation of learners' profiles through the PERLEA project. We were aiming at designing a module managing the proposition of paper and pencil activities. For this purpose, we suggested a typology of exercises that can be given to a learner, as well as the architecture of generators allowing the creation of all of these exercises.