Ecological Interface Design: Progress and Challenges

Vicente, Kim J.

doi:10.1518/0018720024494829

Cited by 360 publications

(299 citation statements)

References 41 publications

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“…To decrease complacent behavior, one could introduce an ecological interface that is especially designed to display relevant constraints to the human operator (Vicente, 2002). Recently, Higgins (2001) successfully designed an ecological interface for scheduling in a small-job shop.…”

Section: Results Comprehensibilitymentioning

confidence: 99%

The role of algorithm and result comprehensibility of automated scheduling on complacency

Cegarra¹,

Hoc²

2008

Hum Ftrs & Erg Mfg Svc

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Several studies have stressed that even expert operators who are aware of a machine's limits could adopt its proposals without questioning them (i.e., the complacency phenomenon). In production scheduling for manufacturing, this is a significant problem, as it is often suggested that the machine be allowed to build the production schedule, confining the human role to that of rescheduling. This article evaluates the characteristics of scheduling algorithms on human rescheduling performance, the quality of which was related to complacency. It is suggested that scheduling algorithms be characterized as having result comprehensibility (the result respects the scheduler's expectations in terms of the discourse rules of the information display) or algorithm comprehensibility (the complexity of the algorithm hides some important constraints). The findings stress, on the one hand, that result comprehensibility is necessary to achieve good production performance and to limit complacency. On the other hand, algorithm comprehensibility leads to poor performance due to the very high cost of understanding the algorithm. C 2008 Wiley Periodicals, Inc.

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Section: Results Comprehensibilitymentioning

confidence: 99%

The role of algorithm and result comprehensibility of automated scheduling on complacency

Cegarra¹,

Hoc²

2008

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

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“…EID helps identify critical variables for control, and guides display of such information in a way that is consistent with people's perceptual and cognitive capabilities. Although, it has been successfully applied to several diverse domains (Vicente, 2002), EID has not been systematically applied and tested in the driving domain. However, EID promises to identify and represent information needed to support drivers (Stoner et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Making adaptive cruise control (ACC) limits visible

Seppelt

Lee

2007

International Journal of Human-Computer Studies

198

104

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Previous studies have shown adaptive cruise control (ACC) can compromise driving safety when drivers do not understand how the ACC functions, suggesting that drivers need to be informed about the capabilities of this technology. This study applies ecological interface design (EID) to create a visual representation of ACC behavior, which is intended to promote appropriate reliance and support effective transitions between manual and ACC control. The EID display reveals the behavior of ACC in terms of time headway (THW), time to collision (TTC), and range rate. This graphical representation uses emergent features that signal the state of the ACC. Two failure modes-exceedance of braking algorithm limits and sensor failures-were introduced in the driving contexts of traffic and rain, respectively. A medium-fidelity driving simulator was used to evaluate the effect of automation (manual, ACC control), and display (EID, no display) on ACC reliance, brake response, and driver intervention strategies. Drivers in traffic conditions relied more appropriately on ACC when the EID display was present than when it was not, proactively disengaging the ACC. The EID display promoted faster and more consistent braking responses when braking algorithm limits were exceeded, resulting in safe following distances and no collisions. In manual control, the EID display aided THW maintenance in both rain and traffic conditions, reducing the demands of driving and promoting more consistent and less variable car-following performance. These results suggest that providing drivers with continuous information about the state of the automation is a promising alternative to the more common approach of providing imminent crash warnings when it fails. Informing drivers may be more effective than warning drivers. r

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“…Getting this representation right, so that patterns in the data are meaningful and clear, is not a trivial manner. The kind of representation used must match the performance needs of the user, and Houghton and Patel (2015) propose an approach based on ecological interface design (Vicente 2002;Burns and Hajdukiewicz 2004) for making salient the behaviours of assets. More generally, decision support is a known human factors/HMI challenge where the automation of cognitive tasks can often neglect critical secondary information sources or constraints that human operators use to arrive at solutions .…”

Section: User Factorsmentioning

confidence: 99%

“…Libraries of designs exist (e.g. an open source library of visualisation templates at D3js.org), or new designs could be captured through a process such as ecological interface design (Vicente 2002). Techniques like card sorting (Wood and Wood 2008) could also be used to capture workflow, where appropriate.…”

Section: Human-machine Interfacementioning

confidence: 99%

A cross-sector analysis of human and organisational factors in the deployment of data-driven predictive maintenance

Golightly

Kefalidou

Sharples

2017

Inf Syst E-Bus Manage

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Domains such as utilities, power generation, manufacturing and transport are increasingly turning to data-driven tools for management and maintenance of key assets. Whole ecosystems of sensors and analytical tools can provide complex, predictive views of network asset performance. Much research in this area has looked at the technology to provide both sensing and analysis tools. The reality in the field, however, is that the deployment of these technologies can be problematic due to user issues, such as interpretation of data or embedding within processes, and organisational issues, such as business change to gain value from asset analysis. 13 experts from the field of remote condition monitoring, asset management and predictive analytics across multiple sectors were interviewed to ascertain their experience of supplying data-driven applications. The results of these interviews are summarised as a framework based on a predictive maintenance project lifecycle covering project motivations and conception, design and development, and operation. These results identified critical themes for success around having a target-or decision-led, rather than data-led, approach to design; long-term resourcing of the deployment; the complexity of supply chains to provide data-driven solutions and the need to maintain knowledge across the supply chain; the importance of fostering technical competency in end-user organisations; and the importance of a maintenance-driven strategy in the deployment of data-driven asset management. Emerging from these themes are recommendations related to culture, delivery process, resourcing, supply chain collaboration and industry-wide cooperation.

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Ecological Interface Design: Progress and Challenges

Cited by 360 publications

References 41 publications

The role of algorithm and result comprehensibility of automated scheduling on complacency

The role of algorithm and result comprehensibility of automated scheduling on complacency

Making adaptive cruise control (ACC) limits visible

A cross-sector analysis of human and organisational factors in the deployment of data-driven predictive maintenance

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