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Book ChapterDOI

Standardizing user models

09 Jul 2011-pp 3-11
TL;DR: This paper attempts to create a set of features to describe different types of user models like development process, data store, user study and so on and also describes it with the help of a case study.
Abstract: In this paper we took an attempt to create a set of features to describe different types of user models. We classify the features into different sets like development process, data store, user study and so on and also describe it with the help of a case study. Finally we pointed out the benefits of standardization in user modeling.

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Citations
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Proceedings ArticleDOI
01 Dec 2011
TL;DR: This work investigates the complexities of three embedded systems including; washing machine; camera; and MP3 player according to the principles of physicality to show inverse action and compliant interaction are two powerful principles that if applied properly augment the natural interaction with the device.
Abstract: Embedded systems are proliferating in vast application areas of life with ever increasing multifarious functionalities. Due to the focus of research and development on growing software issues, the naturalness of physical interface remains neglected resulting in interaction complexities for the user. In this work we investigate the complexities of three embedded systems including; washing machine; camera; and MP3 player according to the principles of physicality. By assigning quantitative values to each physicality principle, it is evident from the analysis that inverse action and compliant interaction are two powerful principles that if applied properly augment the natural interaction with the device. As the ubiquitous computing is knocking at the market doors, it is significant enough for the embedded system developers to incorporate the natural interaction capabilities in every day embedded devices by studying, discovering, and reducing the complexities of physical user interfaces.

4 citations


Cites background from "Standardizing user models"

  • ...The major outcome of their studies [20], [21], [22] is a modeling approach named Goal-Action-BeliefObject (GABO)....

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Proceedings ArticleDOI
25 Nov 2013
TL;DR: This study proposes a physicality-focused quantitative evaluation method to assist the embedded system developers in managing the interaction complexities of their products.
Abstract: The physical interaction aspects of embedded systems have been neglected in comparison to internal software issues in the software engineering field. Physical interfaces suffer from interaction complexities leading to usage difficulty and poor acceptance by the end-users. Meanwhile, the usability techniques focus on the overall usability issues while overlooking the in-depth physicality aspects of the interface and interaction. This study proposes a physicality-focused quantitative evaluation method to assist the embedded system developers in managing the interaction complexities of their products. The acceptance of the embedded system developers towards the proposed method was assessed by means of a user study. The results suggested their strong acceptance. The aim of this study is to re-emphasise the natural physical aspects of embedded system interfaces leading to intuitive interaction.

2 citations

Book ChapterDOI
25 Nov 2013
TL;DR: A physicality-focused quantitative evaluation method (PQEM) is proposed to assist embedded system developers in managing the interaction complexities of their products and a range of values for appliances are proposed, which can be treated as a catalogue or as guidelines as they design and develop physical interfaces.
Abstract: Physical interfaces suffer from interaction complexities leading to usage difficulty and poor acceptance by the end-users. Usability techniques focus on the overall usability issues while overlooking the in-depth physicality aspects of the interface and interaction. This study proposes a physicality-focused quantitative evaluation method (PQEM) to assist embedded system developers in managing the interaction complexities of their products. The acceptance of the embedded system developers towards the proposed method was assessed by means of a user study. The results suggested their strong acceptance. By using this method, we further propose a range of values for appliances, which can be treated as a catalogue or as guidelines as they design and develop physical interfaces. A second user study was conducted to assess the acceptance of embedded system developers for the proposed catalogue. In this study, spatial cognition is concerned in assisting and facilitating the designers and developers in designing physical interfaces of embedded products. We used intensive interviewing as the cognitive method to assess the influence of the catalogue of values from PQEM on performance in designing and developing physical interfaces.

1 citations

References
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Book
01 Dec 1990
TL;DR: In this paper, the authors propose a unified theory of cognition for the task of the Task of the Book Foundations of Cognitive Science Behaving Systems Knowledge Systems Representation Machines and Computation Symbols Architectures Intelligence Search and Problem Spaces Preparation and Deliberation Summary Human Cognitive Architecture The Human is a Symbol System System Levels The Time Scale of Human Action The Biological Band The Neural Circuit Level The Real-Time Constraint on Cognition The Cognitive Band The Level of Simple Operations The First Level of Composed Operations The Intendedly Rational Band Higher Bands: Social, Historical
Abstract: Introduction The Nature of Theories What Are Unified Theories of Cognition? Is Psychology Ready for Unified Theories? The Task of the Book Foundations of Cognitive Science Behaving Systems Knowledge Systems Representation Machines and Computation Symbols Architectures Intelligence Search and Problem Spaces Preparation and Deliberation Summary Human Cognitive Architecture The Human Is a Symbol System System Levels The Time Scale of Human Action The Biological Band The Neural Circuit Level The Real-Time Constraint on Cognition The Cognitive Band The Level of Simple Operations The First Level of Composed Operations The Intendedly Rational Band Higher Bands: Social, Historical, and Evolutionary Summary Symbolic Processing for Intelligence The Central Architecture for Performance Chunking The Total Cognitive System RI-Soar: Knowledge-Intensive and Knowledge-Lean Operation Designer-Soar: Difficult Intellectual Tasks Soar as an Intelligent System Mapping Soar onto Human Cognition Soar and the Shape of Human Cognition Summary Immediate Behavior The Scientific Role of Immediate-Response Data Methodological Preliminaries Functional Analysis of Immediate Responses The Simplest Response Task (SRI) The Two-Choice Response Task (2CRT) Stimulus-Response Compatibility (SRC) Discussion of the Three Analyses Item Recognition Typing Summary Memory, Learning, and Skill The Memory and Learning Hypothesis of Soar The Soar Qualitative Theory of Learning The Distinction between Episodic and Semantic Memory Data Chunking Skill Acquisition Short-Term Memory (STM) Summary Intendedly Rational Behavior Ciyptarithmetic Syllogisms Sentence Verification Summary Along the Frontiers Language Development The Biological Band The Social Band The Role of Applications How to Move toward Unified Theories of Cognition References Name Index Subject Index

4,129 citations


"Standardizing user models" refers methods in this paper

  • ...SOAR [6], ACT-R/PM [1], EPIC [5] and so on) and has also been used to simulate human machine interaction to both explain and predict interaction behaviour....

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Book
01 Jun 1998
TL;DR: The preface to the book describes how C.R. Anderson's Cognitive Arithmetic transformed into Knowledge Representation and how M. Lovett's choice changed the way that people viewed the world around them.
Abstract: Contents: Preface. J.R. Anderson, C. Lebiere, Introduction. J.R. Anderson, C. Lebiere, Knowledge Representation. J.R. Anderson, C. Lebiere, M. Lovett, Performance. J.R. Anderson, C. Lebiere, Learning. J.R. Anderson, M. Matessa, C. Lebiere, Visual Interface. M.D. Byrne, J.R. Anderson, Perception and Action. J.R. Anderson, D. Bothell, C. Lebiere, M. Matessa, List Memory. M. Lovett, Choice. C. Lebiere, J.R. Anderson, Cognitive Arithmetic. D.D. Salvucci, J.R. Anderson, Analogy. C.D. Schunn, J.R. Anderson, Scientific Discovery. J.R. Anderson, C. Lebiere, Reflections.

2,581 citations


"Standardizing user models" refers methods in this paper

  • ...SOAR [6], ACT-R/PM [1], EPIC [5] and so on) and has also been used to simulate human machine interaction to both explain and predict interaction behaviour....

    [...]

Journal ArticleDOI
01 Dec 1997
TL;DR: This work describes some of the models used to construct precise computational models for a variety of human-computer interaction situations and demonstrates how EPIC clarifies basic properties of human performance and provides usefully precise accounts of performance speed.
Abstract: EPIC (Executive Process-Interactive Control) is a cognitive architecture especially suited for modeling human multimodal and multiple-task performance. The EPIC architecture includes peripheral sensory-motor processors surrounding a production-rule cognitive processor and is being used to construct precise computational models for a variety of human-computer interaction situations. We briefly describe some of these models to demonstrate how EPIC clarifies basic properties of human performance and provides usefully precise accounts of performance speed.

690 citations


"Standardizing user models" refers methods in this paper

  • ...SOAR [6], ACT-R/PM [1], EPIC [5] and so on) and has also been used to simulate human machine interaction to both explain and predict interaction behaviour....

    [...]

Journal ArticleDOI
TL;DR: This article compares and contrasts four popular variantsof the GOMS family (the Keystroke-Level Model, the original GomS formulation, NGOMSL, and CPM-GOMS) by applying them to a single task example.
Abstract: Sine the publication of The Psychology of Human-Computer Interaction, the GOMS model has been one of the most widely known theoretical concepts in HCI. This concept has produced severval GOMS analysis techniques that differ in appearance and form, underlying architectural assumptions, and predictive power. This article compares and contrasts four popular variantsof the GOMS family (the Keystroke-Level Model, the original GOMS formulation, NGOMSL, and CPM-GOMS) by applying them to a single task example.

664 citations


"Standardizing user models" refers methods in this paper

  • ...A simplified view of these cognitive architectures is known as the GOMS model [4] and still now is most widely used in human computer interaction....

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Journal ArticleDOI
TL;DR: This paper discusses the use of models in human-computer interaction design and offers a common architecture for these adaptive systems and a methodology for the development of these systems is presented.
Abstract: Since the early 1980's, intelligent and adaptive systems have appeared and have been written about in a variety of guises. Although there are many differences between such systems as adaptive user interfaces, intelligent help systems and explanation systems, there are many similarities as well. The most notable of these is that they all require user models to be maintained and exploited as part of their designs. Furthermore, they share the same high level architecture. This paper discusses the use of models in human-computer interaction design and offers a common architecture for these adaptive systems. A methodology for the development of these systems is presented.

131 citations


"Standardizing user models" refers background in this paper

  • ...By definition a user model is a representation of the knowledge and preferences of users that the system believes the user posses [2]....

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