Interactions with Advanced Graphical Interfaces and the Deployment of Latent Human Knowledge

Barnard, Philip; May, Jon

doi:10.1007/978-3-642-87115-3_2

Cited by 28 publications

(13 citation statements)

References 27 publications

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“…Use of latent knowledge, including affect, has previouslybeen explored in the context of interactive systems 2 . Thissection returns to the theoretical framework used in that paper,and demonstrates how it accounts for the newer resultssummarized in the previous section.…”

Section: Rendering Style and Affectmentioning

confidence: 75%

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Rendering and Affect

Duke

Barnard

Halper

et al. 2003

Computer Graphics Forum

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Previous studies at the intersection between rendering and psychology have concentrated on issues such as realismand acuity. Although such results have been useful in informing development of realistic rendering techniques,studies have shown that the interpretation of images is influenced by factors that have little to do with realism. Inthis paper, we summarize a series of experiments, the most recent of which are reported in a separate paper, thatinvestigate affective (emotive) qualities of images. These demonstrate significant effects that can be utilized withininteractive graphics, particularly via non‐photorealistic rendering (NPR). We explain how the interpretation ofthese results requires a high‐level model of cognitive information processing, and use such a model to account forrecent empirical results on rendering and judgement. Categories and Subject Descriptors (according to ACM CCS): I.3.m [Computer Graphics]: Miscellaneous

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Section: Rendering Style and Affectmentioning

confidence: 75%

“…It has been argued 2 that such responses utilize latentknowledge, in this case an invariant of sharp shapes invokesa connotation of threat. In evolutionary terms, rapid reactionto sharp shapes (e.g.…”

Section: Connotation In Graphicsmentioning

confidence: 99%

Rendering and Affect

Duke

Barnard

Halper

et al. 2003

Computer Graphics Forum

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“…This makes their simulation by automatic tools possible. Examples of cognitive architectures are ICS (interacting cognitive subsystems) (Barnard and May, 1995) or EPIC (Kieras, 1996).…”

Section: Model-based Approaches In Interactive Systemsmentioning

confidence: 99%

Model-based tools for pervasive usability

Paternò

2005

Interacting with Computers

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This paper aims to provide a discussion of how model-based approaches and related tools have been used to address important issues for obtaining usable interactive software and the new challenges for this research area. The paper provides an analysis of the logical descriptions that can be used in the design of interactive systems and how they can be manipulated in order to obtain useful results. This type of approach has recently raised further interest in the ubiquitous computing field for supporting the design of multi-device interfaces. The new challenges currently considered are mainly in the area of end-user development, ambient intelligence, and multimodal interfaces. q

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“…Both models are then considered as central components of the system in such approaches known as syndetic modelling [DBM + 95]. Within the paradigm of syndetic modelling, Duke et al [DBD + 98] and Bowman and Faconti [BoF99] use Interactive Cognitive Subsystems (ICS) [BaM95] as the underlying model of human information processing. Their models deal with information flow between the different cognitive subsystems and constraints on the associated transformation processes.…”

Section: Related Workmentioning

confidence: 99%

Verification-guided modelling of salience and cognitive load

et al. 2009

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Abstract. Well-designed interfaces use procedural and sensory cues to increase the cognitive salience of appropriate actions. However, empirical studies suggest that cognitive load can influence the strength of those cues. We formalise the relationship between salience and cognitive load revealed by empirical data. We add these rules to our abstract cognitive architecture, based on higher-order logic and developed for the formal verification of usability properties. The interface of a fire engine dispatch task from the empirical studies is then formally modelled and verified. The outcomes of this verification and their comparison with the empirical data provide a way of assessing our salience and load rules. They also guide further iterative refinements of these rules. Furthermore, the juxtaposition of the outcomes of formal analysis and empirical studies suggests new experimental hypotheses, thus providing input to researchers in cognitive science.

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Interactions with Advanced Graphical Interfaces and the Deployment of Latent Human Knowledge

Cited by 28 publications

References 27 publications

Rendering and Affect

Rendering and Affect

Model-based tools for pervasive usability

Verification-guided modelling of salience and cognitive load

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