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Adaptive Perspectives on Human–Technology InteractionMethods and Models for Cognitive Engineering and Human-Computer Interaction$
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Alex Kirlik

Print publication date: 2009

Print ISBN-13: 9780195374827

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780195374827.001.0001

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Achieving Coherence: Meeting New Cognitive Demands in Technological Systems

Achieving Coherence: Meeting New Cognitive Demands in Technological Systems

Chapter:
(p.163) 12 Achieving Coherence: Meeting New Cognitive Demands in Technological Systems
Source:
Adaptive Perspectives on Human–Technology Interaction
Author(s):

Kathleen L. Mosier

Shane T. McCauley

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195374827.003.0015

This chapter provides a new dimension to the discussion of technology-mediated interaction, drawing on Kenneth Hammond's distinction between correspondence- and coherence-based cognition. Specifically discussed are the factors impacting coherence in high-technology environments, and the characteristics of the human decision maker. A possible solution to improve coherence in the human-automation system would be to provide support for the cognition it requires. The data also show that aiding the meta-cognitive monitoring of judgment processes may facilitate more thorough information search, more analytical cognition, and more coherent judgment strategies. However, meta-cognitive interventions are not sufficient aids for judgment processes. To aid both coherence and correspondence in high-technology environments, it is necessary to know what variables are associated with the elicitation of each of these cognitive goals, what is at the root of noncoherence, and what is required to facilitate the achievement of both coherence and correspondence. The most effective way to present information so that both coherence and correspondence will be elicited, however, is unknown at this time.

Keywords:   coherence, correspondence, cognition, technology-mediated interaction, human decision, human-automation system, meta-cognitive monitoring, judgment process

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