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

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 ...

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.

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.

intelligence systems and user’s parameters: an application to a documents ’ database

Web 2.0 has emerged as the business ideology and development paradigm for the next generation of web applications. This paper proposes the use of personalisation techniques to enhance the functionality of web mashups, one of the most... more

Web 2.0 has emerged as the business ideology and development paradigm for the next generation of web applications. This paper proposes the use of personalisation techniques to enhance the functionality of web mashups, one of the most popular Web 2.0 applications. A prototype of a personalised travel assistant which combines interactive maps with public data pulled from the Internet is presented. An experimental study with the prototype points at opportunities and challenges mashups bring to personalisation research.

Cultural heritage management is a multiple-perspective enterprise where several disciplines and practices contribute to successful dissemination and communication. Digital data in support of cultural heritage management are addressed by... more

Cultural heritage management is a multiple-perspective enterprise where several disciplines and practices contribute to successful dissemination and communication. Digital data in support of cultural heritage management are addressed by the digital curation process, which has been emerging to account for the diversity of disciplinary communities and cultural heritage organizations. Digital curation addresses the diversity of participating skills and practices by working on the relationship between the cultural heritage objects and their digital counterparts. In particular, the innumerable initiatives for providing access to cultural heritage data are ideally coordinated by digital curation and are part of the process since the beginning. However, some thorough reflections on its role and implementation in cultural heritage institutions yet lack. In this paper, we provide a survey of the digital curation process, by unpacking the component curatorial tasks, with the solutions that have been proposed in the literature and in the application projects to account for the multiple perspectives at hand. CCS CONCEPTS • Human-centered computing → Collaborative interaction; Human computer interaction (HCI); • Information systems → Data management systems; Digital libraries and archives; • Social and professional topics → Management of computing and information systems. KEYWORDS digital curation; cultural heritage; interdisciplinary process; project workflow ACM Reference Format:

In order to have a new knowledge economy, business organisations using Telecollaboration (TC) are now facing major challenges due to external pressures as well as the nature of the workplace. This give rises to the necessity of having... more

In order to have a new knowledge economy, business organisations using Telecollaboration (TC) are now facing major challenges due to external pressures as well as the nature of the workplace. This give rises to the necessity of having additional insights and synthesis, ...

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... more

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 continuity across cuts. Expressing this theoretically allows us to extrapolate away from film, applying it to screen changes in interface design.

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, ...

Recent growth in broadband access and proliferation of small personal devices that capture images and videos has led to explosive growth of multimedia content available everywhere - from personal disks to the Web. While digital media... more

Recent growth in broadband access and proliferation of small personal devices that capture images and videos has led to explosive growth of multimedia content available everywhere - from personal disks to the Web. While digital media capture and upload has become nearly universal with newer device technology, there is still a need for better tools and technologies to search large collections of multimedia data and to find and deliver the right content to a user according to her current needs and preferences. A renewed focus on the subjective dimension in the multimedia lifecycle, from creation, distribution, to delivery and consumption, is required to address this need beyond what is feasible today. Integration of the subjective aspects of the media itself - its affective, perceptual, and physiological potential (both intended and achieved), together with those of the users themselves will allow for personalizing the content access, beyond today's facility. This integration, transforming the traditional multimedia information retrieval (MIR) indexes to more effectively answer specific user needs, will allow a richer degree of personalization predicated on user intention and mode of interaction, relationship to the producer, content of the media, and their history and lifestyle. In this paper, we identify the challenges in achieving this integration, current approaches to interpreting content creation processes, to user modelling and profiling, and to personalized content selection, and we detail future directions. The structure of the paper is as follows: In Section I, we introduce the problem and present some definitions. In Section II, we present a review of the aspects of personalized content and current approaches for the same. Section III discusses the problem of obtaining metadata that is required for personalized media creation and present eMediate as a case study of an integrated media capture environment. Section IV presents the MAGIC system as a case stud- - y of capturing effective descriptive data and putting users first in distributed learning delivery. The aspects of modelling the user are presented as a case study in using user's personality as a way to personalize summaries in Section V. Finally, Section VI concludes the paper with a discussion on the emerging challenges and the open problems.

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 ...

Personalised information systems (PISs), related to different fields (travelling and mobility, production, logistics and so on), represent an object of many research and development perspectives. Using PISs, it becomes possible to supply... more

Personalised information systems (PISs), related to different fields (travelling and mobility, production, logistics and so on), represent an object of many research and development perspectives. Using PISs, it becomes possible to supply the user only with the pertinent information that suits their preferences. Indeed, thanks to personalisation, the user may feel that a particular PIS is developed for them. This system adaptation becomes a necessity for the user's satisfaction. In this context, many studies were orientated toward the user modelling, the design methods of PIS and the personalisation algorithms, etc. but, the evaluation of these systems is neglected. Difficulties concerning context-centred evaluation appear. This paper is focused on the evaluation of the personalised information systems in order to optimise the personalisation quality according to several criteria. For such systems, it is important to envisage new adapted evaluation methods. An evaluation method using a PIS simulation model, called MetSim (Method evaluation per Simulation), is proposed. MetSim is also based on the case-based reasoning system to identify problems. This evaluation approach has been validated by applying it to assess PISs in the logistics field.

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.

Generic search engines are important for retrieving relevant information from web. However these engines follow the "one size fits all" model which is not adaptable to individual users. Personalized web search is an important field for... more

Generic search engines are important for
retrieving relevant information from web.
However these engines follow the "one size fits
all" model which is not adaptable to individual
users. Personalized web search is an important
field for tuning the traditional IR system for
focused information retrieval. This paper is an
attempt to improve personalized web search.
User's Profile provides an important input for
performing personalized web search. This paper
proposes a framework for constructing an
Enhanced User Profile by using user's browsing
history and enriching it using domain knowledge.
This Enhanced User Profile can be used for
improving the performance of personalized web
search. In this paper we have used the Enhanced
User Profile specifically for suggesting relevant
pages to the user. The experimental results show
that the suggestions provided to the user using
Enhanced User Profile are better than those
obtained by using a User Profile.