The impact of context-related reliability on automation failure detection and scanning behaviour

Bagheri, N.; Jamieson, Greg A.

doi:10.1109/icsmc.2004.1398299

Cited by 49 publications

(48 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study suggests such conflicts may result both from differing experimental paradigms for comparing manual and ACC control (Young and Stanton, 2004), and from exposing drivers to failures without regard to the environmental context in which those failures would occur (Bagheri and Jamieson, 2004).…”

Section: Resultsmentioning

confidence: 99%

Making adaptive cruise control (ACC) limits visible

Seppelt

Lee

2007

International Journal of Human-Computer Studies

198

103

View full text Add to dashboard Cite

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

show abstract

Section: Resultsmentioning

confidence: 99%

Making adaptive cruise control (ACC) limits visible

Seppelt

Lee

2007

International Journal of Human-Computer Studies

198

103

View full text Add to dashboard Cite

show abstract

“…· Humans should be informed explicitly about the robot's known level of reliability (Bagheri & Jamieson, 2004). · Past performance of the robot (and explanations of such performance and any associated errors) should be known to the human so that he or she is able to better predict the robot's behavior (Chen et al, 2010;Lee & See, 2004).…”

Section: Human Factors Design Inputs To Humanrobot Trust Interactionsmentioning

confidence: 99%

Can You Trust Your Robot?

Hancock¹,

Billings²,

Schaefer³

2011

Ergonomics in Design

119

View full text Add to dashboard Cite

It is proposed that trust is a critical element in the interactive relations between humans and the automated and robotic technology they create. This article presents (a) why trust is an important issue for this type of interaction, (b) a brief history of the development of human-robot trust issues, and (c) guidelines for input by human factors/ergonomics professionals to the design of human-robot systems with emphasis on trust issues. Our work considers trust an ongoing and dynamic dimension as robots evolve from simple tools to active, sentient teammates.

show abstract

“…Similar to trust, complacency is directly related to automation reliability (Bagheri & Jamieson, 2004;Wickens, Sebok, Li, Sarter, & Gacy, 2015) and, additionally, to the fluctuation of that reliability (May, Molloy, & Parasuraman, 1993). Even if operators exhibit appropriate trust levels without complacent behaviour and therefore maintain an optimal attention allocation strategy, failures may be missed (Moray & Inagaki, 2000).…”

mentioning

confidence: 99%

Automation transparency: implications of uncertainty communication for human-automation interaction and interfaces

et al. 2019

View full text Add to dashboard Cite

words)Operators of highly automated driving systems may exhibit behaviour characteristic for overtrust issues due to an insufficient awareness of automation fallibility. Consequently, situation awareness in critical situations is reduced and safe driving performance following emergency takeovers is impeded. A driving simulator study was used to assess the impact of dynamically communicating system uncertainties on monitoring, trust, workload, takeovers, and physiological responses. The uncertainty information was conveyed visually using a stylised heart beat combined with a numerical display and users were engaged in a visual search task.Multilevel analysis results suggest that uncertainty communication helps operators calibrate their trust and gain situation awareness prior to critical situations, resulting in safer takeovers.Additionally, eye tracking data indicate that operators can adjust their gaze behaviour in correspondence with the level of uncertainty. However, conveying uncertainties using a visual display significantly increases operator workload and impedes users in the execution of nondriving related tasks. Keywords: vehicle ergonomics; attitudes and behaviour; attention and vigilance; humancomputer-interaction; information displaysPractitioner summary (50 words): This paper illustrates how the communication of system uncertainty information helps operators calibrate their trust in automation and, consequently, gain situation awareness. Multilevel analysis results of a driving simulator study affirm the benefits for trust calibration and highlight that operators adjust their behaviour according to multiple uncertainty levels.

show abstract

The impact of context-related reliability on automation failure detection and scanning behaviour

Cited by 49 publications

References 9 publications

Making adaptive cruise control (ACC) limits visible

Making adaptive cruise control (ACC) limits visible

Can You Trust Your Robot?

Automation transparency: implications of uncertainty communication for human-automation interaction and interfaces

Contact Info

Product

Resources

About