Search results for "User modeling"
showing 9 items of 9 documents
Usability and acceptability assessment of an empathic virtual agent to prevent major depression
2016
In Human-Computer Interaction, the adaptation of the content and the way of how this content is communicated to the users in interactive sessions is a critical issue to promote the acceptability and usability of any computational system. We present a user-adapted interactive platform to identify and provide an early intervention for symptoms of depression and suicide. In particular, we describe the work performed to assess users' system acceptability and usability. An empathic Virtual Agent is the main interface with the user, and it has been designed to generate the appropriate dialogues and emotions during the interactions according to the detected user's specific needs. This personalizat…
A framework for behavior-based detection of user substitution in a mobile context
2007
Personal mobile devices, such as mobile phones, smartphones, and communicators can be easily lost or stolen. Due to the functional abilities of these devices, their use by unintended persons may result in severe security breaches concerning private or corporate data and services. Organizations develop their security policy and employ preventive techniques to combat unauthorized use. Current solutions, however, are still breakable and there is a strong need for means to detect user substitution when it happens. A crucial issue in designing such means is to define the measures to be monitored. In this paper, a structured conceptual framework for mobile-user substitution detection is proposed.…
Intellectual Ability Data Obtaining and Processing for E-Learning System Adaptation
2012
In this article authors describe how an e-learning system can obtain data about learner, so that later it could offer individual content for each learner, based on the obtained data. Authors also describe how the Learning Management System (LMS) Moodle has adapted a standard quiz module interface for testing elementary school students and how students’ individual abilities could be measured more efficiently, for example, by measuring mathematical reaction time. For obtaining necessary testing results and partial processing a new module (TAnalizer) is offered, which is adapted to the Moodle environment. With this module one can gain precise data about each student’s testing process and stude…
Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms
2006
This paper presents a methodology to estimate the future success of a collaborative recommender in a citizen web portal. This methodology consists of four stages, three of them are developed in this study. First of all, a user model, which takes into account some usual characteristics of web data, is developed to produce artificial data sets. These data sets are used to carry out a clustering algorithm comparison in the second stage of our approach. This comparison provides information about the suitability of each algorithm in different scenarios. The benchmarked clustering algorithms are the ones that are most commonly used in the literature: c-Means, Fuzzy c-Means, a set of hierarchical …
A Reinforcement Learning Approach for User Preference-aware Energy Sharing Systems
2021
Energy Sharing Systems (ESS) are envisioned to be the future of power systems. In these systems, consumers equipped with renewable energy generation capabilities are able to participate in an energy market to sell their energy. This paper proposes an ESS that, differently from previous works, takes into account the consumers’ preference, engagement, and bounded rationality. The problem of maximizing the energy exchange while considering such user modeling is formulated and shown to be NP-Hard. To learn the user behavior, two heuristics are proposed: 1) a Reinforcement Learning-based algorithm, which provides a bounded regret and 2) a more computationally efficient heuristic, named BPT- ${K}…
From Technology to the Human User
2008
When thinking of users, it is possible to look at them from a variety of perspectives. One essential way of considering users within the human–technology environment involves technical concepts. In this manner, we define what users should be able to do with a particular technical system. As such, there are tasks to accomplish and goals to reach by means of some technology, and therefore specific operations must be carried out in order to reach those goals or fulfill those tasks. For example, if someone wishes to buy boots from an eShop, it is necessary to get onto the Internet, find the eShop, find the boots, load them into a virtual shopping cart, and follow the process to check out. Savvy…
A data-logging mechanism to support e-learning systems
2015
User profiling and e-learning have received great attention in the last years. In a learning environment, user profiling provides historical data of the students' performance on different learning subjects. e-Learning tools such as serious games can collect user's data and build a user profile by appropriate storing these information. Thus, by combining above techniques and analysing each user's data a teacher can provide personalized treatment to her/his students. In this paper we present our solution on storing and analysing user data on a centralized server. Our system stores data collected from users with dyslexia. We maintain one user profile per student from data taken from a) user re…
A reflective characterisation of occasional user
2017
This work revisits established user classifications and aims to characterise a historically unspecified user category, the Occasional User (OU). Three user categories, novice, intermediate and expert, have dominated the work of user interface (UI) designers, researchers and educators for decades. These categories were created to conceptualise user's needs, strategies and goals around the 80s. Since then, UI paradigm shifts, such as direct manipulation and touch, along with other advances in technology, gave new access to people with little computer knowledge. This fact produced a diversification of the existing user categories not observed in the literature review of traditional classificat…
Using System Dynamics to Model Student Performance in an Intelligent Tutoring System
2017
One basic adaptation function of an Intelligent Tutoring System (ITS) consists of selecting the most appropriate next task to be offered to the learner. This decision can be based on estimates, such as the expected performance of the student, or the probability that the student successfully solves each particular task. However, the computation of these values is intrinsically difficult, as they may depend on other complex latent variables that also need to be estimated from observable quantities, e.g. the current student's ability. In this work, we have used system dynamics to model learning and predict the student's performance in a given exercise, in an existing ITS that was developed to …