Ecological Interface Design: A Selective Overview

Bennett, Kevin B.; Flach, John M.; Edman, Christopher; Holt, Jerred; Lee, Patricia

doi:10.1017/cbo9780511973017.041

Cited by 5 publications

(5 citation statements)

References 25 publications

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“…Gates et al, 2014). Consistent with this fact, Bennett, Flach, Edman, Holt, and Lee (2015) expressed the opinion that, for independent dimensions, an "effective choice of representational format is a horizontal bar graph display" (p. 680).…”

Section: Alternative Risk Display Formatsmentioning

confidence: 80%

“…On the other hand, a horizontal representation is more compatible with the horizontal way of presenting other elements on the app page, such as user ratings and the summary risk scores (Chen et al, 2015; Gates et al, 2014). Consistent with this fact, Bennett, Flach, Edman, Holt, and Lee (2015) expressed the opinion that, for independent dimensions, an “effective choice of representational format is a horizontal bar graph display” (p. 680).…”

Section: Risk Communication For Mobile Devicesmentioning

confidence: 90%

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Display of major risk categories for android apps.

Chen¹,

Ge²,

Yang³

et al. 2018

Journal of Experimental Psychology: Applied

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Communicating cybersecurity risks to mobile-device users is essential. However, existing means of conveying the risks through detailed permission lists are ineffective. Risk indexes that convey overall risk are effective at influencing app-selection decisions, but many users want more information. We examined how users assess the risks associated with downloading applications on the Android platform by comparing various graphical formats of intermediate-level risk displays containing three risk categories: personal privacy; monetary loss; device stability. Bar-graph and table formats were compared, as were vertical and horizontal displays. Participants performed app risk-rating (Experiment 1) and app-selection (Experiments 2 and 3) tasks for hypothetical apps with risk scores on each of the categories. They also specified which risk category was of most concern to them. Increased risk scores in each category led to higher rated risk and lower app-selection rate which matched with self-reported risk concerns. Bar-graphs were more time-efficient and yielded higher risk-ratings than tables, although the two formats did not differ in the app-selection task. Moreover, horizontal bar-graphs yielded faster responses than vertical bar-graphs. The results indicate that the intermediate-level risk display was effective in conveying risk-category information, especially with horizontal bar-graphs, and personalized design of this display based on users' risk concerns is potentially useful. (PsycINFO Database Record

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Section: Alternative Risk Display Formatsmentioning

confidence: 80%

Section: Risk Communication For Mobile Devicesmentioning

confidence: 90%

Display of major risk categories for android apps.

Chen¹,

Ge²,

Yang³

et al. 2018

Journal of Experimental Psychology: Applied

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show abstract

“…From Kroft and Wickens (2001). safety displays in the process control industry (Woods et al, 1981), multi-dimensional icons for weather parameter observations across a geographical region, Ecological Interface Displays for complex system understanding (Bennett et al, 2015;Burns, 2013) and the preferred use of line graphs over bar graphs for complex data (the line connecting two points representing a single object, in contrast to the two objects representing the same data in a bar graph, . When carefully designed, such object displays can be particularly advantageous for information integration tasks, as discussed in the previous section (Wickens & Carswell, 1995;.…”

Section: Divided Attention In the Filter: The Object Displaymentioning

confidence: 99%

Attention: Theory, Principles, Models and Applications

Wickens

2021

International Journal of Human–Computer Interaction

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We discuss two general concepts of attention: (1) As a filter of selective attention that selects and admits channels of information from the environment to be processed; (2) as a resource to enable subsequent information processing, constrained by the individual demand of tasks, and particularly the collective demands of multiple tasks needing to be performed concurrently defining the limits of multitasking. In both concept domains we review theories and design principles, and particularly computational models of attentional process and performance outputs. In discussing the filter we consider supervisory control, noticing, visual search, and the way in which limited selective attention constrains the filter can be overcome to avail more parallel processing via techniques of display overlay and object display. In discussing the fuel for multi-tasking, we distinguish between the parallel processing supported by multiple resources, and the sequential processing and task switching required when demands are excessive.

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“…The EID framework has inspired several books (Bennett and Flach, 2011;Burns and Hajdukiewicz, 2004) and recently multiple reviews have assessed the impact of this framework over the last 20 years (Bennett and Flach, 2013;Bennett et al, 2015a;Bennett et al, 2015b;Borst et al, 2014;Flach et al, 2015a;McIlroy and Stanton, 2014).…”

Section: Ecological Interface Design (Eid)mentioning

confidence: 99%

Supporting productive thinking: The semiotic context for Cognitive Systems Engineering (CSE)

Flach

2017

Applied Ergonomics

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Ecological Interface Design: A Selective Overview

Cited by 5 publications

References 25 publications

Display of major risk categories for android apps.

Display of major risk categories for android apps.

Attention: Theory, Principles, Models and Applications

Supporting productive thinking: The semiotic context for Cognitive Systems Engineering (CSE)

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