Literature DB >> 17447672

Designing for attention with sound: challenges and extensions to ecological interface design.

Marcus O Watson1, Penelope Sanderson.   

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.

Entities:  

Mesh:

Year:  2007        PMID: 17447672     DOI: 10.1518/001872007X312531

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  6 in total

1.  Visual cueing with context relevant information for reducing change blindness.

Authors:  Jacqueline M Tappan; Jeremy Daniels; Brad Slavin; Joanne Lim; Rollin Brant; J Mark Ansermino
Journal:  J Clin Monit Comput       Date:  2009-06-21       Impact factor: 2.502

2.  Modeling workflow to design machine translation applications for public health practice.

Authors:  Anne M Turner; Megumu K Brownstein; Kate Cole; Hilary Karasz; Katrin Kirchhoff
Journal:  J Biomed Inform       Date:  2014-10-17       Impact factor: 6.317

Review 3.  Medical audible alarms: a review.

Authors:  Judy Edworthy
Journal:  J Am Med Inform Assoc       Date:  2012-10-25       Impact factor: 4.497

Review 4.  A systematic review of mapping strategies for the sonification of physical quantities.

Authors:  Gaël Dubus; Roberto Bresin
Journal:  PLoS One       Date:  2013-12-17       Impact factor: 3.240

5.  Healthcare information systems: the cognitive challenge.

Authors:  Gavan Lintern; Al Motavalli
Journal:  BMC Med Inform Decis Mak       Date:  2018-01-11       Impact factor: 2.796

6.  Modeling Patient Treatment With Medical Records: An Abstraction Hierarchy to Understand User Competencies and Needs.

Authors:  Justin D St-Maurice; Catherine M Burns
Journal:  JMIR Hum Factors       Date:  2017-07-28
  6 in total

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