Paper Info
Title
Designing for Attention With Sound: Challenges and Extensions to Ecological Interface Design.
Abstract
Objective: We explore whether ecological interface design (EID) principles can be applied to the design of an auditory display for anesthesia monitoring. Background: EID examples focus almost exclusively on visual displays. In the anesthesia work environment, however, auditory displays may provide better individual and team awareness of patient state. Method: Using a work domain analysis of physiological monitoring in anesthesia, we identify information to display. Using the skills, rules, and knowledge distinction we identify cognitive control needed. Using semantic mapping we map physiological variables and constraints to auditory dimensions. Results: EID principles do not address when information should be displayed and to whom. An attentional mapping stage helps to specify answers to these questions so that a workable auditory display for anesthesia monitoring is achieved. Conclusion: EID principles of representing work domain functional structure and minimizing resource-demanding cognitive control are necessary but insufficient to specify requirements for an effective auditory display. Also needed are analyses of control tasks, strategies, and the social organization of work. Such analyses are an integral part of the broader cognitive work analysis framework from which EID emerged. Application: Actual or potential uses of this research include the design of displays that support continuous peripheral awareness in collaborative multimodal work environments.
Year
DOI
Venue
2007
10.1518/001872007X312531
HUMAN FACTORS
Keywords
Field
DocType
ecological interface design,behavioral sciences,ergonomics,performance,auditory display,sonification,allocation,psychology,automation,social organization
Social psychology,Semantic mapping,Computer science,Simulation,Cognitive work analysis,Sonification,Human–computer interaction,Ecological interface design,User interface,Auditory display,Work domain analysis,Perception
Journal
Volume
Issue
ISSN
49
2
0018-7208
Citations 
PageRank 
References 
18
1.01
15
Authors
2
Name
Order
Citations
PageRank
Marcus Watson1181.01
P M Sanderson222029.80