A Brief Survey on User Modelling in Human Computer Interaction

2012 ◽  
pp. 1-19
Author(s):  
Pradipta Biswas
Keyword(s):  
Human Computer Interaction ◽  
User Model ◽  
User Modelling ◽  
User Models ◽  
History Of Development ◽  
Wide Range ◽  
History Of ◽  
Modelling Techniques ◽  
Computer Interaction ◽  
Modelling Approaches

This chapter presents a brief survey of different user modelling techniques used in human computer interaction. It investigates history of development of user modelling techniques and classified the existing models into different categories. In the context of existing modelling approaches it presents a new user model and its deployment through a simulator to help designers in developing accessible systems for people with a wide range of abilities. This chapter will help system analysts and developers to select and use appropriate type of user models for their applications.

A Brief Survey on User Modelling in Human Computer Interaction

2013 ◽  
pp. 102-119
Author(s):  
Pradipta Biswas
Keyword(s):  
Human Computer Interaction ◽  
User Model ◽  
User Modelling ◽  
User Models ◽  
History Of Development ◽  
Wide Range ◽  
History Of ◽  
Modelling Techniques ◽  
Computer Interaction ◽  
Modelling Approaches

This chapter presents a brief survey of different user modelling techniques used in human computer interaction. It investigates history of development of user modelling techniques and classified the existing models into different categories. In the context of existing modelling approaches it presents a new user model and its deployment through a simulator to help designers in developing accessible systems for people with a wide range of abilities. This chapter will help system analysts and developers to select and use appropriate type of user models for their applications.

Can user models be learned at all? Inherent problems in machine learning for user modelling

2004 ◽  
Vol 19 (1) ◽  
pp. 61-88 ◽  
Author(s):  
MARTIN E. MÜLLER
Keyword(s):  
Machine Learning ◽  
Learning Algorithms ◽  
User Model ◽  
User Modelling ◽  
Machine Learning Algorithms ◽  
Learning Problem ◽  
User Models ◽  
Modelling Techniques ◽  
Modelling Problem

Machine learning seems to offer the solution to many problems in user modelling. However, one tends to run into similar problems each time one tries to apply out-of-the-box solutions to machine learning. This article closely relates the user modelling problem to the machine learning problem. It explicates some inherent dilemmas that are likely to be overlooked when applying machine learning algorithms in user modelling. Some examples illustrate how specific approaches deliver satisfying results and discuss underlying assumptions on the domain or how learned hypotheses relate to the requirements on the user model. Finally, some new or underestimated approaches offering promising perspectives in combined systems are discussed. The article concludes with a tentative ‘‘checklist” that one might like to consider when planning to apply machine learning to user modelling techniques.

Embracing Four Tensions in Human-Computer Interaction Research with Marginalized People

2021 ◽  
Vol 28 (2) ◽  
pp. 1-47
Author(s):  
Calvin A. Liang ◽  
Sean A. Munson ◽  
Julie A. Kientz
Keyword(s):  
United States ◽  
Human Computer Interaction ◽  
Thematic Analysis ◽  
The United States ◽  
New Paradigm ◽  
History Of ◽  
Interview Survey ◽  
Interaction Research ◽  
Oriented Approach ◽  
Computer Interaction

Human-computer interaction has a long history of working with marginalized people. We sought to understand how HCI researchers navigate work that engages with marginalized people and considerations researchers might work through to expand benefits and mitigate potential harms. In total, 24 HCI researchers, located primarily in the United States, participated in an interview, survey, or both. Through a reflexive thematic analysis, we identified four tensions—exploitation, membership, disclosure, and allyship. We explore the complexity involved in each, demonstrating that an equitable endpoint may not be possible, but this work is still worth pursuing when researchers make certain considerations. We emphasize that researchers who work with marginalized people should account for each tension in their research approaches to move forward. Finally, we propose an allyship-oriented approach to research that draws inspiration from discourse occurring in tangential fields and activist spaces and pushes the field into a new paradigm of research with marginalized people.

The Theory of Visual Sentences to Formalize Interactive Visual Languages

2011 ◽  
pp. 1-21 ◽  
Author(s):  
Paolo Bottoni ◽  
Maria Francesca Costabile ◽  
Stefano Levialdi
Keyword(s):  
Human Computer Interaction ◽  
Visual Languages ◽  
History Of ◽  
Ieee Workshop ◽  
Computer Interaction

This chapter introduces an approach to the theory of visual languages, based on the notion of visual sentence as defined by the integration of pictures and descriptions. The paper proceeds by firstly tracking the history of the ideas that stemmed from the initial IEEE Workshop held at Hiroshima (Japan) during 1984 and then gradually progressing towards the formalisms that build up the theory of visual languages. The theory of visual sentences allows a coherent view of both static and dynamic aspects of human-computer interaction, as well as of the relations between the user and the machine during the interaction.

Work Weighting Based on User's Browsing History

2011 ◽  
pp. 169-189
Author(s):  
Yutaka Matsuo
Keyword(s):  
Information Systems ◽  
Information Access ◽  
User Model ◽  
User Modelling ◽  
User Interest ◽  
The Future ◽  
History Of ◽  
Relevance Measure

This chapter presents discussion of word weighting algorithms in user modelling and adaptive information systems. We specifically address two types of user interest: (1) broad and consistent interest; and (2) narrow, spot interest. A user’s consistent interests can be modelled utilising the user’s information access history; a user’s spot interests can be determined based on that. We developed a word-weighting algorithm to measure the user’s spot interest. The information access history of a user is represented as a set of words. It is considered to be a user model. This method weights words in a document according to their relevancy to the user model. The relevancy is measured by the biases of co-occurrence, called the Interest Relevance Measure, between a word in a document and words in the user model. The future methodology of word weighting is described herein while demonstrating our approach.

User Involvement in E-Government Development Projects

2011 ◽  
pp. 734-750
Author(s):  
Asbjørn Folstad ◽  
John Krogstie ◽  
Lars Risan ◽  
Ingunn Moser
Keyword(s):  
Health Care ◽  
Public Sector ◽  
Human Computer Interaction ◽  
Case Studies ◽  
User Involvement ◽  
Development Projects ◽  
Future Trends ◽  
Wide Range ◽  
Computer Interaction ◽  
Government Development

User involvement in E-Government projects is presented and discussed. Different methods and practices are analyzed in relation to a differentiation between traditional government participatory practices and Human-Computer Interaction (HCI). Some of the user involvement practices are exemplified through two Norwegian case studies: (1) An electronic patient journal for hospital based health care and (2) an electronic post journal, where the Norwegian public (via the Norwegian press) is provided insight in public sector correspondence. User involvement methods and practices are in particular discussed with regard to the challenges of the wide range of users and stakeholders, legal limitations, and evolving goal hierarchies of E-Government projects. Future trends and research opportunities within the field of user involvement in E-Government development are identified.

User Modelling and Personalisation of Knowledge Management Systems

2011 ◽  
pp. 603-620
Author(s):  
Liana Razmerita
Keyword(s):  
Knowledge Management ◽  
Utility Function ◽  
User Model ◽  
User Modelling ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
User Models ◽  
User Support ◽  
Different Types

This chapter focuses on the role of user models and user modelling for enhanced, personalised user support within knowledge management systems (KMSs). Personalisation can bring a utility function as well as a conviviality function with “high touch” impact for the users. From this utility and conviviality perspective, various personalised services enable KMSs to adapt their functionality, structure, and content to match the needs and preferences of users based on a user model that is stored and updated dynamically. The chapter presents a set of examples, different types of adaptations and personalised services specific to KMSs.

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