The Growth of Cognitive Modeling in Human-Computer Interaction Since GOMS

Olson, Judith Reitman; Olson, Gary M.

doi:10.1080/07370024.1990.9667155

Cited by 113 publications

(102 citation statements)

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“…We mostly used high-frequency GOMS-level measures to build the skill classifi ers. GOMS techniques fail to capture users' cognitive states-such as focused, tired, etc.-and individual differences -all users are assumed to be exactly the same (Olson and Olson, 1995). Similar to GO MS techniques, our proposed model does not take into account such differences.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Pauses in man-machine interactions: a clue to users' skill levels and their user interface requirements

Ghazarian¹,

Ghazarian²

2013

IJCPS

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Abstract:Computer users have motionless periods of time while performing computer-based tasks. Do these pauses relate to the mental and perceptual actions required to perform tasks? Do users essentially pause while they think, wait to retrieve the next step to perform, or search the location of something on the screen? How do the pauses change as the users gain experience and progress from novice to skilled? To answer these questions, we conducted user studies to investigate the link between the pauses observed in users' interactions with computer-based applications and their skill levels. In this paper, we introduce a set of pause-related attributes that can distinguish among different levels of skills in performing Graphical User Interface (GUI) tasks. We employ machine learning algorithms to build skill classifi ers based on these attributes. These skill classifi ers can be used to create skill-adaptive applications.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Pauses in man-machine interactions: a clue to users' skill levels and their user interface requirements

Ghazarian¹,

Ghazarian²

2013

IJCPS

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“…Keystroke-level model is proposed by Card et al [12]. It also has been discussed by the other researchers [13] [14]. This paper introduces three kinds of scenarios that have been applied during the experiment:…”

Section: Browsing Tasks Using Imwepmentioning

confidence: 99%

Intelligent Mobile Web Pre-fetching (IMWeP) using XML technology

Sulaiman

Shamsuddin

Abraham

et al. 2010

2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM)

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“…Research focuses on methods, techniques and tools to develop intuitive, easy to use, easy to learn, and understandable assistance systems [31]. The field draws on knowledge of cognitive psychology [48] but stresses the point that design and users have to be investigated and understood in "in the wild" [33]. The term "cognition in the wild" has been introduced by Edwin Hutchins [20] and means that natural work environments should be preferred over artificial laboratory settings because human behavior is constrained on the one hand by generic cognitive processes and, equally important, on the other hand by characteristics of the environment.…”

Section: Cognitive Engineeringmentioning

confidence: 99%

New Requirements for Modelling How Humans Succeed and Fail in Complex Traffic Scenarios

Lüdtke

2010

Lecture Notes in Computer Science

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Abstract.In this text aspects of human decision making in complex traffic environments are described and requirements for cognitive models that shall be used as virtual test pilots or test drivers for new assistance concepts are derived. Assistance systems are an accepted means to support humans in complex traffic environments. There is a growing consensus that cognitive models can be used to test systems from a human factors perspective. The text describes the current state of cognitive architectures and argues that though very relevant achievements have been realized some important characteristics of human decision making have so far been neglected: humans use environment and time dependent heuristics. An extension of the typical cognitive cycle prevalent in extant models is suggested.

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The Growth of Cognitive Modeling in Human-Computer Interaction Since GOMS

Cited by 113 publications

References 0 publications

Pauses in man-machine interactions: a clue to users' skill levels and their user interface requirements

Pauses in man-machine interactions: a clue to users' skill levels and their user interface requirements

Intelligent Mobile Web Pre-fetching (IMWeP) using XML technology

New Requirements for Modelling How Humans Succeed and Fail in Complex Traffic Scenarios

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