Beyond Ecological Interface Design: Lessons From Concerns and Misconceptions

Borst, Clark; Flach, John M.; Ellerbroek, Joost

doi:10.1109/thms.2014.2364984

Cited by 56 publications

(45 citation statements)

References 52 publications

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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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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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“…Furthermore, Borst and colleagues [162] point out that although the Abstraction Hierarchy provides a powerful means for influencing design decisions (through its representation of a system) it is not, as they put it, a "'cook-book' for displays and automation" [162]. The authors go as far as to say (of EID in general) that it would be "foolish to claim that these tools are the only path to design innovation" (p. 10 [162]).…”

Section: Can Ecological Interface Design Alone Results In Design?mentioning

confidence: 99%

Ecological Interface Design Two Decades On: Whatever Happened to the SRK Taxonomy?

McIlroy

Stanton

2015

IEEE Trans. Human-Mach. Syst.

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Since first receiving attention in the literature almost 25 years ago, ecological interface design has been applied to a wide variety of man-machine systems across a range of domains. The design framework has its theoretical basis in Gibsonian ecological psychology, and its founding principles draw heavily on Jens Rasmussen's skills, rules, and knowledge (SRK) taxonomy. This paper presents a comprehensive review of the framework's applications since Vicente and Rasmussen's 1992 seminal article detailing the theoretical foundations of the method. There is variation in terms of both the use of the two fundamental components of the method as it was first described, and how it has been supplemented with other phases of the cognitive work analysis; this review highlights these variations with regard to how the design framework has been applied and how these applications have been reported in the literature. The importance of the SRK taxonomy to the framework is specifically discussed following the finding that 40% of reviewed applications do not cite this component despite its centrality to ecological interface design. Attention is drawn to the method's flexibility and adaptability, to its contribution to the content and form of an interface, and a point is made about the importance of being clear and consistent when reporting how the method has been applied and, where appropriate, adapted.Index Terms-Cognitive work analysis (CWA), ecological interface design (EID), human-computer interaction, human-machine systems.

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“…Since that time, several books (e.g., Burns and Hajdukiewicz 2004;Bennett and Flach 2011) and numerous articles have explored EID in a variety of application domains [see Borst et al (2015) and McIlroy and Stanton (2015) for overviews]. In short, the EID framework is focused on making the deep structure (i.e., constraints) and relationships in a complex work domain directly visible to the system operator, enabling the operator to solve problems on skills-, rules-and knowledge-based behavioral levels.…”

Section: Background 21 Ecological Interface Designmentioning

confidence: 99%

Ecological interface design: supporting fault diagnosis of automated advice in a supervisory air traffic control task

2017

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Future air traffic control will have to rely on more advanced automation to support human controllers in their job of safely handling increased traffic volumes. A prerequisite for the success of such automation is that the data driving it are reliable. Current technology, however, still warrants human supervision in coping with (data) uncertainties and consequently in judging the quality and validity of machine decisions. In this study, ecological interface design was used to assist controllers in fault diagnosis of automated advice, using a prototype ecological interface (called the solution space diagram) for tactical conflict detection and resolution in the horizontal plane.Results from a human-in-the-loop simulation, in which sixteen participants were tasked with monitoring automation and intervening whenever required or desired, revealed a significant improvement in fault detection and diagnosis in a complex traffic scenario. Additionally, the experiment also exposed interesting interaction patterns between the participants and the advisory system, which seemed unrelated to the fault diagnosis task. Here, the explicit meansends links appeared to have affected participants' control strategy, which was geared toward taking over control from automation, regardless of the fault condition. This result suggests that in realizing effective human-automation teamwork, finding the right balance between offering more insight (e.g., through ecological interfaces) and striving for compliance with single (machine) advice is an avenue worth exploring further.

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Beyond Ecological Interface Design: Lessons From Concerns and Misconceptions

Cited by 56 publications

References 52 publications

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

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

Ecological Interface Design Two Decades On: Whatever Happened to the SRK Taxonomy?

Ecological interface design: supporting fault diagnosis of automated advice in a supervisory air traffic control task

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