Attentional costs and failures in air traffic control notifications

Imbert, Jean-Paul; Hodgetts, Helen M.; Parise, Robert A.; Vachon, François; Dehais, Frédéric; Tremblay, Sébastien

doi:10.1080/00140139.2014.952680

Cited by 53 publications

(45 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In air-traffic control, visual notifications to aircraft that require an immediate response from the controller can emerge from the radar display (e.g. Imbert et al, 2014). These notifications are visual alerts to single critical events whereas the CHEX tool stores and displays a list of changes to all objects that may require a response.…”

Section: Discussionmentioning

confidence: 99%

Supporting dynamic change detection: using the right tool for the task

et al. 2016

Self Cite

View full text Add to dashboard Cite

Detecting task-relevant changes in a visual scene is necessary for successfully monitoring and managing dynamic command and control situations. Change blindness—the failure to notice visual changes—is an important source of human error. Change History EXplicit (CHEX) is a tool developed to aid change detection and maintain situation awareness; and in the current study we test the generality of its ability to facilitate the detection of changes when this subtask is embedded within a broader dynamic decision-making task. A multitasking air-warfare simulation required participants to perform radar-based subtasks, for which change detection was a necessary aspect of the higher-order goal of protecting one’s own ship. In this task, however, CHEX rendered the operator even more vulnerable to attentional failures in change detection and increased perceived workload. Such support was only effective when participants performed a change detection task without concurrent subtasks. Results are interpreted in terms of the NSEEV model of attention behavior (Steelman, McCarley, & Wickens, Hum. Factors 53:142–153, 2011; J. Exp. Psychol. Appl. 19:403–419, 2013), and suggest that decision aids for use in multitasking contexts must be designed to fit within the available workload capacity of the user so that they may truly augment cognition.

show abstract

Section: Discussionmentioning

confidence: 99%

Supporting dynamic change detection: using the right tool for the task

et al. 2016

Self Cite

View full text Add to dashboard Cite

show abstract

“…Although-to our knowledge-no literature has been found directly linking CSE and UX design, crossing both fields has indeed been a preoccupation for certain key domains like air traffic control where, for example, the design of notification patterns involved considerations from these two domains [6].…”

Section: Methodological Approachmentioning

confidence: 99%

Atypical Visual Display for Monitoring Multiple CCTV Feeds

Pelletier

Suss

Vachon

et al. 2015

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

View full text Add to dashboard Cite

Despite advances in surveillance technologies, security and command and control (C2) centers still rely strongly on human operators to detect critical events. Human factors-such as cognitive workload and limited attentional capacity-have been shown to affect operators' ability to detect critical incidents. The current standard surveillance environment comprises a large screen layout that simultaneously displays multiple camera feeds. Although having access to all sources of information at once seems intuitively appealing, there is ample evidence to suggest that it can, in fact, lead to poor detection performance. We propose a design solution that is based on principles grounded in cognitive psychology and user experience design.One key objective is to test empirically whether an atypical design pattern that is consistent with serial cognitive processes induces better performance than the current standard surveillance environment. Three variations of the alternative display pattern will be tested by comparing their effects on detection performance within a surveillance microworld.

show abstract

“…Such microworld simulates key features of dynamic systems within a controlled setting. The generic design and the underlying tasks make it applicable beyond the ATC domain to a range of surveillance/monitoring activity (Imbert et al, 2014). Another advantage of using synthetic microworld is that it allows recruiting participants that are not necessarily qualified professionals.…”

Section: Atc Taskmentioning

confidence: 99%

Encoding decisions and expertise in the operator's eyes: Using eye-tracking as input for system adaptation

Causse

Lancelot

Jordan

et al. 2019

International Journal of Human-Computer Studies

View full text Add to dashboard Cite

A B S T R A C TWe investigated the possibility of developing a decision support system (DSS) that integrates eye-fixation measurements to better adapt its suggestions. Indeed, eye fixation give insight into human decision-making: Individuals tend to pay more attention to key information in line with their upcoming selection. Thus, eyefixation measures can help the DSS to better capture the context that determines user decisions. Twenty-two participants performed a simplified Air Traffic Control (ATC) simulation in which they had to decide to accept or to modify route suggestions according to specific parameter values displayed on the screen. Decisions and fixation times on each parameter were recorded. The user fixation times were used by an algorithm to estimate the utility of each parameter for its decision. Immediately after this training phase, the algorithm generated new route suggestions under two conditions: 1) Taking into account the participant's decisions, 2) Taking into account the participant's decisions plus their visual behavior using the measurements of dwell times on displayed parameters. Results showed that system suggestions were more accurate than the base system when taking into account the participant's decisions, and even more accurate using their dwell times. Capturing the crucial information for the decision using the eye tracker accelerated the DSS learning phase, and thus helped to further enhance the accuracy of consecutive suggestions. Moreover, exploratory eye-tracking analysis reflected two different stages of the decision-making process, with longer dwell times on relevant parameters (i.e. involved in a rule) during the entire decision time course, and frequency of fixations on these relevant parameters that increased, especially during the last fixations prior to the decision. Consequently, future DSS integrating eyetracking data should pay specific care to the final fixations prior to the decision. In general, our results emphasize the potential interest of eye-tracking to enhance and accelerate system adaptation to user preference, knowledge, and expertise.

show abstract

Attentional costs and failures in air traffic control notifications

Cited by 53 publications

References 66 publications

Supporting dynamic change detection: using the right tool for the task

Supporting dynamic change detection: using the right tool for the task

Atypical Visual Display for Monitoring Multiple CCTV Feeds

Encoding decisions and expertise in the operator's eyes: Using eye-tracking as input for system adaptation

Contact Info

Product

Resources

About