“…We found that many studies uses eye-tracking in AD [32,53,54,84,87,94], AVI [16,20,21,29,30,45,55,60,61,76] and HRI [6,19,64,91]. It is used as tool to measure objective gaze behaviour of drivers, pilots and user interacting with robots.…”
Section: Evaluation Methods (Ad Hri Av)mentioning
confidence: 99%
“…When visual attention is evaluated the parameters fixation duration [16,19,20,45,54,55,59,61,84], fixation counts [59,61,91], as well as saccades [59,94] and gaze switching [19] are reported in all three domains.…”
Section: Mode Awareness Parameters (Ad Hri Av)mentioning
confidence: 99%
“…The drivers/pilots/users workload is either evaluated subjectively by means of questionnaires [8,55] or derived objectively from physiological parameters. These are again gained from eye-tracking data [59,92] such as pupil dilation in AD [87,94], AVI [16,45,[59][60][61] and HRI [91] or heart-rate measurement (reflecting stress level) for automation surprise [19]. For subjective workload assessment most of the time the NASA Task Load Index (TLX) is used in AD [74,[86][87][88], AVI [8, 29-31, 45, 55, 59, 69], and HRI [22,91].…”
Section: Complementary Dimensions (Ad Hri Av)mentioning
confidence: 99%
“…Moiser et al further highlighted a mismatch between the "cognitive requirements of the electronic cockpit and the cognitive strategies afforded by current systems and displays" [68], further arguing that in addition to mere cues, relevant information and data needs to be provided as well, so that pilots can verify and compare the system's with their own assessments. Horn et al highlight that despite the increase of different operation modes to 20 in modern aviation, mode communication has hardly changed from its basic concept of simple tasks (e.g., holding altitude or heading) [45]. While many functions in modern cockpits are now automated, this is stated to lower only the manual workload, while increasing cognitive load, with mode awareness indicators needing to support an aircraft's increased automation capabilities [15], with increasing automation not guaranteeing fewer human errors, if mode awareness is not given [62].…”
Section: Insufficiency Of Existing Solutions (Ad Hri Av)mentioning
With increasing automation capabilities and a push towards full automation in vehicles, mode awareness, i.e., the driver's awareness of the vehicle's current automation mode, becomes an important factor. While issues surrounding mode awareness are known, research concerning and design towards mode awareness appears to not yet be a focal point in the automated driving domain. In this paper, we provide a state-of-the art on mode awareness from the related domains of automated driving, aviation, and Human-Robot Interaction. We present a summary of existing mode awareness interface solutions as well as existing techniques and recognized gaps concerning mode awareness. We found that existing interfaces are often simple, sometimes outdated, yet are difficult to meaningfully expand without overloading the user. We also found predictive approaches as a promising strategy to lessen the need for mode awareness via separate indicators.
CCS CONCEPTS• Human-centered computing → HCI theory, concepts and models; Interactive systems and tools.
“…We found that many studies uses eye-tracking in AD [32,53,54,84,87,94], AVI [16,20,21,29,30,45,55,60,61,76] and HRI [6,19,64,91]. It is used as tool to measure objective gaze behaviour of drivers, pilots and user interacting with robots.…”
Section: Evaluation Methods (Ad Hri Av)mentioning
confidence: 99%
“…When visual attention is evaluated the parameters fixation duration [16,19,20,45,54,55,59,61,84], fixation counts [59,61,91], as well as saccades [59,94] and gaze switching [19] are reported in all three domains.…”
Section: Mode Awareness Parameters (Ad Hri Av)mentioning
confidence: 99%
“…The drivers/pilots/users workload is either evaluated subjectively by means of questionnaires [8,55] or derived objectively from physiological parameters. These are again gained from eye-tracking data [59,92] such as pupil dilation in AD [87,94], AVI [16,45,[59][60][61] and HRI [91] or heart-rate measurement (reflecting stress level) for automation surprise [19]. For subjective workload assessment most of the time the NASA Task Load Index (TLX) is used in AD [74,[86][87][88], AVI [8, 29-31, 45, 55, 59, 69], and HRI [22,91].…”
Section: Complementary Dimensions (Ad Hri Av)mentioning
confidence: 99%
“…Moiser et al further highlighted a mismatch between the "cognitive requirements of the electronic cockpit and the cognitive strategies afforded by current systems and displays" [68], further arguing that in addition to mere cues, relevant information and data needs to be provided as well, so that pilots can verify and compare the system's with their own assessments. Horn et al highlight that despite the increase of different operation modes to 20 in modern aviation, mode communication has hardly changed from its basic concept of simple tasks (e.g., holding altitude or heading) [45]. While many functions in modern cockpits are now automated, this is stated to lower only the manual workload, while increasing cognitive load, with mode awareness indicators needing to support an aircraft's increased automation capabilities [15], with increasing automation not guaranteeing fewer human errors, if mode awareness is not given [62].…”
Section: Insufficiency Of Existing Solutions (Ad Hri Av)mentioning
With increasing automation capabilities and a push towards full automation in vehicles, mode awareness, i.e., the driver's awareness of the vehicle's current automation mode, becomes an important factor. While issues surrounding mode awareness are known, research concerning and design towards mode awareness appears to not yet be a focal point in the automated driving domain. In this paper, we provide a state-of-the art on mode awareness from the related domains of automated driving, aviation, and Human-Robot Interaction. We present a summary of existing mode awareness interface solutions as well as existing techniques and recognized gaps concerning mode awareness. We found that existing interfaces are often simple, sometimes outdated, yet are difficult to meaningfully expand without overloading the user. We also found predictive approaches as a promising strategy to lessen the need for mode awareness via separate indicators.
CCS CONCEPTS• Human-centered computing → HCI theory, concepts and models; Interactive systems and tools.
“…The hot zones with higher density designate where pilots focused their gaze with higher frequencies (Pfeiffer and Memili, 2016). Horn, Li and Braithwaite (2018) proposed that pilots distributed their attentions significantly among airspeed indicator, altitude indicator, attitude indicator and Autopilot Flight Director System (AFDS) status (figure 1) during landing phase shown by heatmap based on eye tracking technology. Previous research on flight deck design had demonstrated that the integrated human-centred design did facilitate pilot's situation awareness and reduced cognitive loads on information processing (Li et al, 2017 (Hollan et al, 2000).…”
The flight deck of commercial aircraft is sophisticated and searching for the necessary information at the right time is sometimes challenging. This research investigates pilot's visual parameters while interacted with two different designs of crew alerting system by eye tracking technology. There are 24 aviation professionals that participated in this experiment including commercial pilots, private pilots and avionic engineers. Compared with traditional design, the new integrated design applied proximity compatibility principles to assist pilots in searching necessary information to deal with urgent situations. The results demonstrated that the integrated design is superior to traditional design in providing accurate instructions as determined by visual behaviors. However, the integrated design increases pilot's situation awareness by redirecting attention from current task to the most critical task with the cost of a longer total fixation duration time. Pilot's visual parameters demonstrated significant differences while interacting with PFD mainly numeric, ND mostly by symbols and EICAS with presented text messages. Therefore, flight deck design has to adopt a holistic approach as pilot's visual attentions is shifting among all types of different displays to gain situation awareness rather than focus on only one display. The design of integrated EICAS can provide detailed instructions to deal with urgent situations which induced higher cognitive loads as pilot's pupil dilation is significant bigger than interacted with traditional design. By eye tracking technology, it is applicable to design human-centered flight decks to improve safety and human performance in aviation.
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