Literature DB >> 15960091

Configural displays can improve nutrition-related. decisions: an application of the proximity compatibility principle.

Christopher J Marino1, Robert R Mahan.   

Abstract

The nutrition label format currently used by consumers to make dietary-related decisions presents significant information-processing demands for integration-based decisions; however, those demands were not considered as primary factors when the format was adopted. Labels designed in accordance with known principles of cognitive psychology might enhance the kind of decision making that food labeling was intended to facilitate. Three experiments were designed on the basis of the proximity compatibility principle (PCP) to investigate the relationship between nutrition label format and decision making; the experiments involved two types of integration decisions and one type of filtering decision. Based on the PCP, decision performance was measured to test the overall hypothesis that matched task-display tandems would result in better decision performance than would mismatched tandems. In each experiment, a statistically significant increase in mean decision performance was found when the display design was cognitively matched to the demands of the task. Combined, the results from all three experiments support the general hypothesis that task-display matching is a design principle that may enhance the utility of nutrition labeling in nutrition-related decision making. Actual or potential applications of this research include developing robust display solutions that aid in less effortful assimilation of nutrition-related information for consumers.

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Year:  2005        PMID: 15960091     DOI: 10.1518/0018720053653758

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


  2 in total

1.  Applying human factors principles to alert design increases efficiency and reduces prescribing errors in a scenario-based simulation.

Authors:  Alissa L Russ; Alan J Zillich; Brittany L Melton; Scott A Russell; Siying Chen; Jeffrey R Spina; Michael Weiner; Elizabette G Johnson; Joanne K Daggy; M Sue McManus; Jason M Hawsey; Anthony G Puleo; Bradley N Doebbeling; Jason J Saleem
Journal:  J Am Med Inform Assoc       Date:  2014-03-25       Impact factor: 4.497

2.  Utilizing a user-centered approach to develop and assess pharmacogenomic clinical decision support for thiopurine methyltransferase.

Authors:  Khoa A Nguyen; Himalaya Patel; David A Haggstrom; Alan J Zillich; Thomas F Imperiale; Alissa L Russ
Journal:  BMC Med Inform Decis Mak       Date:  2019-10-17       Impact factor: 2.796

  2 in total

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