User Modelling Research Papers - Academia.edu (original) (raw)

It is a widely held assumption that learning style is a useful model for quantifying user characteristics for effective personalized learning. We set out to challenge this assumption by discussing the current state of the art, in relation... more

It is a widely held assumption that learning style is a useful model for quantifying user characteristics for effective personalized learning. We set out to challenge this assumption by discussing the current state of the art, in relation to quantitative evaluations of such systems and also the methodologies that should be employed in such evaluations. We present two case studies that provide rigorous and quantitative evaluations of learning-style-adapted e-learning environments. We believe that the null results of both these studies indicate a limited usefulness in terms of learning styles for user modeling and suggest that alternative characteristics or techniques might provide a more beneficial experience to users.

In this paper, four types of experienced HCI Professionals are interviewed about their different ways of describing users. By use of the qualitative research interview technique of thematizing the dialogue as explicit, implicit and... more

In this paper, four types of experienced HCI Professionals are interviewed about their different ways of describing users. By use of the qualitative research interview technique of thematizing the dialogue as explicit, implicit and constructive conversations about users, these differences are explored. The research shows that the traditional usability engineering approach to user description produce person descriptions that are filled with idiosyncratic information about the individual in the particular test situation. Less traditional approaches to user modelling give other kinds of schematic user typification in terms of the users' roles, users' social events or users' self-concepts. Despite the obvious fallacies in these approaches, typification of users appears unproblematic for the experienced HCI professional, because in practice user types are rich conceptual structures that support professional user modelling. Accordingly, we suggest that it might not be that important to discuss why user types exist, but rather to study their application and change and under which conditions they become user stereotypes, and how we may counteract the negative effects of user stereotypes on design.

Adaptive e-learning systems hold promise for the future development as innovative technologies continuously appear in the field. Along with the facilities that they provide, they have led to enhanced education. Students can receive... more

Adaptive e-learning systems hold promise for the future development as innovative technologies continuously appear in the field. Along with the facilities that they provide, they have led to enhanced education. Students can receive customized learning with improved alternatives for learning anytime and anywhere. This field has a direct relation with the emergence of new technologies, advances in learning, machine learning and artificial intelligence therefore the future of this field is wide open (Shute, 2007). This paper aims to investigate developed and emerging technologies for student modeling in personalized e-learning systems and discusses a proposed style that is being developed to address issues in the field of adaptive e-learning. Various techniques have been generated for collecting data about students’characteristics and integrated into e-learning systems.

ABSTRACT: Interface designers are increasingly relying on craft based approaches to compensate for a perceived lack of relevant theory. One such source is cinematography, where film-makers succeed in helping viewers follow the narrative... more

ABSTRACT: Interface designers are increasingly relying on craft based approaches to compensate for a perceived lack of relevant theory. One such source is cinematography, where film-makers succeed in helping viewers follow the narrative across cuts which change the information on the screen. Cinematography has evolved over the last century, and its rules of thumb cannot be applied directly to interface design. We analyse film-makers' techniques with a cognitive theory (ICS) and show that they work by preserving thematic ...

In this paper, four types of experienced HCI Professionals are interviewed about their different ways of describing users. By use of the qualitative research interview technique of thematizing the dialogue as explicit, implicit and... more

In this paper, four types of experienced HCI Professionals are interviewed about their different ways of describing users. By use of the qualitative research interview technique of thematizing the dialogue as explicit, implicit and constructive conversations about users, these differences are explored. The research shows that the traditional usability engineering approach to user description produce person descriptions that are filled with idiosyncratic information about the individual in the particular test situation. Less traditional approaches to user modelling give other kinds of schematic user typification in terms of the users' roles, users' social events or users' self-concepts. Despite the obvious fallacies in these approaches, typification of users appears unproblematic for the experienced HCI professional, because in practice user types are rich conceptual structures that support professional user modelling. Accordingly, we suggest that it might not be that important to discuss why user types exist, but rather to study their application and change and under which conditions they become user stereotypes, and how we may counteract the negative effects of user stereotypes on design.

This article presents earlier results of our research works in the area of modeling Business Intelligence Systems. The basic idea of this research area is presented first. We then show the necessity of including certain users'... more

This article presents earlier results of our research works in the area of modeling Business Intelligence Systems. The basic idea of this research area is presented first. We then show the necessity of including certain users' parameters in Information systems that are used in Business Intelligence systems in order to integrate a better response from such systems. We identified two main types of attributes that can be missing from a base and we showed why they needed to be included. A user model that is based on a cognitive user evolution is presented. This model when used together with a good definition of the information needs of the user (decision maker) will accelerate his decision making process.

Résumé: La notion d'interprétation de l'information a permis d'intégrer la complexité relative au processus d'IE, autant d'affiner un renseignement aux “frontières” des modèles et des problématiques... more

Résumé: La notion d'interprétation de l'information a permis d'intégrer la complexité relative au processus d'IE, autant d'affiner un renseignement aux “frontières” des modèles et des problématiques pluridisciplinaire: Systèmes d'information (SI) et de Recherche d' ...

This paper describes user modelling in I-Help, a system to facilitate communication amongst learners. There are two I-Help components: Private and Public Discussions. In the Private Discussions learners take part in a one-on-one... more

This paper describes user modelling in I-Help, a system to facilitate communication amongst learners. There are two I-Help components: Private and Public Discussions. In the Private Discussions learners take part in a one-on-one interaction with a partner (possibly a peer). The Public Discussions are open - everyone in the group has access to all discussion forums relevant to that group.

In the past few years, the growing number of personal information shared on the Web (through Web 2.0 applications) increased awareness regarding privacy and personal data. Recent studies showed that privacy in Social Networks is a major... more

In the past few years, the growing number of personal information shared on the Web (through Web 2.0 applications) increased awareness regarding privacy and personal data. Recent studies showed that privacy in Social Networks is a major concern when user profiles are publicly shared, revealing that most users are aware of privacy settings. Most Social Networks provide privacy settings restricting access to private data to those who are in the user’s friends lists (i.e. their “social graph”) such as Facebook’s privacy preferences. Yet, the studies show that users require more complex privacy settings as current systems do not meet their requirements. Hence, we propose a platform-independent system that allows end-users to set fine-grained privacy preferences for the creation of privacy-aware faceted user profiles on the Social Web.

A recent research project showed that decision -makers with different personal- ity dispositions may display distinct preferences w hen making decisions. This paper presents a decision support framework which attempt s to provide the... more

A recent research project showed that decision -makers with different personal- ity dispositions may display distinct preferences w hen making decisions. This paper presents a decision support framework which attempt s to provide the basis for systems that are capable of adapting to their users based o n their personality preferences. The ca- pabilities of adaptation are facilitated through th

Abstract. Technology within museums can improve human cognition by supporting the experiential mode more than the analitic one. In order to exploit this powerful concept our approach is based on empathy and" mimesis". This work... more

Abstract. Technology within museums can improve human cognition by supporting the experiential mode more than the analitic one. In order to exploit this powerful concept our approach is based on empathy and" mimesis". This work explores issues of audio-guide adaptivity based on physical navigation and information browsing. The goal is to design an augmented reality system that is able to transform the museum into an intelligent environment, which can integrate individual needs and collective behaviors. Physical ...

Abstract. With the rapid growth in users on social networks, there is a corresponding increase in user-generated content, in turn resulting in information overload. On Twitter, for example, users tend to receive uninterested information... more

Abstract. With the rapid growth in users on social networks, there is a corresponding increase in user-generated content, in turn resulting in information overload. On Twitter, for example, users tend to receive uninterested information due to their non-overlapping interests from the people whom they follow. In this paper we present a Semantic Web approach to filter public tweets matching interests from personalized user profiles. Our approach includes automatic generation of multi-domain and personalized user profiles, ...

User profiling techniques have mostly focused on retrieving and representing a user's knowledge, context and interests in order to provide recommendations, personalise search, and build user-adaptive systems. However, building a user... more

User profiling techniques have mostly focused on retrieving and representing a user's knowledge, context and interests in order to provide recommendations, personalise search, and build user-adaptive systems. However, building a user profile on a single social network limits the quality and completeness of the profile, especially when interoperability of the profile is key and its reuse on different sites is necessary for providing other types of personalisation. Indeed recent studies have shown that users on the Social Web often use different social networking sites for diverse, and sometimes non-overlapping, purposes and interests. In this paper, we describe our methodology for the automatic creation and aggregation of interoperable and multi-domain user profiles using semantic technologies. Moreover, we propose a user study on different user profiling techniques for social networking websites in general, and for Twitter and Facebook in particular. In this regard, based on the results of our user evaluation, we investigate (i) the accuracy of different methodologies for profiling, (ii) the effect of time decay functions on ranking user interests, and (iii) the benefits of merging different user models using semantic technologies.

With the rapid growth in users on social networks, there is a corresponding increase in user-generated content, in turn resulting in information overload. On Twitter, for example, users tend to receive uninterested information due to... more

With the rapid growth in users on social networks, there is
a corresponding increase in user-generated content, in turn resulting in information overload. On Twitter, for example, users tend to receive uninterested information due to their non-overlapping interests from the people whom they follow. In this paper we present a Semantic Web approach to filter public tweets matching interests from personalized user profiles. Our approach includes automatic generation of multi-domain and personalized user profiles, filtering Twitter stream based on the generated profiles and delivering them in real-time. Given that users interests and personalization needs change with time, we also discuss how our application can adapt with these changes.

The creation of accurate user profiles of interest across heterogeneous websites is a fundamental step for personalisation, recommendations and analysis of social networks. The opportunities offered by the Web of Data and Semantic Web... more

The creation of accurate user profiles of interest across heterogeneous websites is a fundamental step for personalisation, recommendations and analysis of social networks. The opportunities offered by the Web of Data and Semantic Web technologies introduce new interesting challenges. In particular, the main benefits for user profiling techniques are given by the extensive amount of already available and structured information and the solution to the "cold start" problem. On the other hand it is difficult to manage a massive "open corpus" such as the Web of Data and select only the relevant features and sources from an heterogeneous collection of datasets. Hence we propose semantic technologies for interlinking social websites and provenance management on the Web of Data to retrieve accurate information about data producers. The goal is to build comprehensive user profiles based on qualitative and quantitative measures about user activities across social sites.

Feedback on player experience and behaviour can be invaluable to game designers, but there is need for specialised knowledge discovery tools to deal with high volume playtest data. We describe a study with a commercial third-person... more

Feedback on player experience and behaviour can be invaluable to game designers, but there is need for specialised knowledge discovery tools to deal with high volume playtest data. We describe a study with a commercial third-person shooter, in which integrated player activity and experience data was captured and mined for design-relevant knowledge. We demonstrate that association rule learning and rule templates can be used to extract meaningful rules relating player activity and experience during combat. We ...