Book contents
- Frontmatter
- Contents
- Acknowledgements
- Notes on contributors
- List of illustrations
- List of tables
- 1 Introduction
- Part I Concepts
- 2 Human attention and its implications for human–computer interaction
- 3 The management of visual attention in graphic displays
- 4 Cognitive load theory, attentional processes and optimized learning outcomes in a digital environment
- 5 Salience sensitive control, temporal attention and stimulus-rich reactive interfaces
- Part II Theoretical and software tools
- Part III Applications
- Index of authors cited
- Index
- Plate section
- References
5 - Salience sensitive control, temporal attention and stimulus-rich reactive interfaces
Published online by Cambridge University Press: 04 February 2011
- Frontmatter
- Contents
- Acknowledgements
- Notes on contributors
- List of illustrations
- List of tables
- 1 Introduction
- Part I Concepts
- 2 Human attention and its implications for human–computer interaction
- 3 The management of visual attention in graphic displays
- 4 Cognitive load theory, attentional processes and optimized learning outcomes in a digital environment
- 5 Salience sensitive control, temporal attention and stimulus-rich reactive interfaces
- Part II Theoretical and software tools
- Part III Applications
- Index of authors cited
- Index
- Plate section
- References
Summary
This chapter reviews the results of the Salience Project, a cross-disciplinary research project focused on understanding how humans direct attention to salient stimuli. The first objective of the project was theoretical: that is, to understand behaviourally and electrophysiologically how humans direct attention through time to semantically and emotionally salient visual stimuli. Accordingly, we describe the glance-look model of the attentional blink. Notably, this model incorporates two levels of meaning, both of which are based upon latent semantic analysis, and, in addition, it incorporates an explicit body-state subsystem in which emotional experience manifests. Our second major objective has been to apply the same glance-look model to performance analysis of human–computer interaction. Specifically, we have considered a class of system which we call stimulus-rich reactive interfaces (SRRIs). Such systems are characterized by demanding (typically) visual environments, in which multiple stimuli compete for the user's attention, and a variety of physiological measures are employed to assess the user's cognitive state. In this context, we have particularly focused on electroencephalogram (EEG) feedback of stimulus perception. Moreover, we demonstrate how the glance-look model can be used to assess the performance of a variety of such reactive computer interfaces. Thus, the chapter contributes to the study of attentional support and adaptive interfaces associated with digital environments.
Introduction
Humans are very good at prioritizing competing processing demands. In particular, perception of a salient environmental event can interrupt ongoing processing, causing attention, and accompanying processing resources, to be redirected to the new event.
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- Information
- Human Attention in Digital Environments , pp. 114 - 144Publisher: Cambridge University PressPrint publication year: 2011
References
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