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  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2019
    In:  Human Factors: The Journal of the Human Factors and Ergonomics Society Vol. 61, No. 8 ( 2019-12), p. 1371-1386
    In: Human Factors: The Journal of the Human Factors and Ergonomics Society, SAGE Publications, Vol. 61, No. 8 ( 2019-12), p. 1371-1386
    Abstract: The present research compared and contrasted the workload associated with using in-vehicle information systems commonly available in five different automotive original equipment manufacturers (OEMs) with that of CarPlay and Android Auto when used in the same vehicles. Background: A growing trend is to provide access to portable smartphone-based systems (e.g., CarPlay and Android Auto) that support an expansion of various in-vehicle infotainment system features and functions. Method/Results: The study involved on-road testing of 24 participants in each configuration of five vehicles crossed with the three different infotainment systems: the embedded portion of the native OEM systems, CarPlay, and Android Auto. Our analysis found that workload was significantly greater for the embedded portion of the native OEM systems than for CarPlay and Android Auto. The strengths and weaknesses of each CarPlay and Android Auto traded off in such a way that the overall demand associated with using the two systems did not differ. Conclusion: CarPlay and Android Auto provided more functionality and resulted in lower levels of workload than the embedded portion of the native OEM infotainment systems. Application: Potential applications of this research include refinements to CarPlay and Android Auto to address variations in workload as a function of task type, the modality of interaction, and OEM implementation of the system.
    Type of Medium: Online Resource
    ISSN: 0018-7208 , 1547-8181
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2066426-6
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  • 2
    In: Geriatrics, MDPI AG, Vol. 5, No. 2 ( 2020-04-16), p. 23-
    Abstract: The study sought to understand the relationship between in-vehicle technologies (IVTs) and self-regulatory behaviors among older drivers. In a large multi-site study of 2990 older drivers, self-reported data on the presence of IVTs and avoidance of various driving behaviors (talking on a mobile phone while driving, driving at night, driving in bad weather, and making left turns when there is no left turn arrow) were recorded. Self-reports were used to identify whether avoidance was due to self-regulation. Hierarchical logistic regressions were used to determine whether the presence of a particular IVT predicted the likelihood of a given self-regulatory behavior after controlling for other factors. Results suggest that the presence of Integrated Bluetooth/Voice Control systems are related to a reduced likelihood of avoiding talking on a mobile phone while driving due to self-regulation (OR = 0.37, 95% CI = 0.29–0.47). The presence of a Navigation Assistance system was related to a reduced likelihood of avoiding talking on a mobile phone while driving (OR= 0.65, 95% CI = 0.50–0.84) and avoiding driving at night due to self-regulation (OR = 0.80, 95% CI = 0.64–1.00). Present findings suggest in-vehicle technologies may differently influence the self-regulatory behaviors of older drivers.
    Type of Medium: Online Resource
    ISSN: 2308-3417
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2934571-6
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2005
    In:  Human Factors: The Journal of the Human Factors and Ergonomics Society Vol. 47, No. 2 ( 2005-06), p. 235-249
    In: Human Factors: The Journal of the Human Factors and Ergonomics Society, SAGE Publications, Vol. 47, No. 2 ( 2005-06), p. 235-249
    Abstract: A modified version of the flicker technique to induce change blindness was used to examine the effects of time constraints on decision-making accuracy at intersections on a total of 62 young (18-25 years), middle-aged (26-64 years), young-old (65-73 years), and old-old (74 + years) drivers. Thirty-six intersection photographs were manipulated so that one object (i.e., pedestrian, vehicle, sign, or traffic control device) in the scene would change when the images were alternated for either 5 or 8 s using the modified flicker method. Young and middle-aged drivers made significantly more correct decisions than did young-old and old-old drivers. Logistic regression analysis of the data indicated that age and/or time were significant predictors of decision performance in 14 of the 36 intersections. Actual or potential applications of this research include driving assessment and crash investigation.
    Type of Medium: Online Resource
    ISSN: 0018-7208 , 1547-8181
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2005
    detail.hit.zdb_id: 2066426-6
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  • 4
    Online Resource
    Online Resource
    Elsevier BV ; 2021
    In:  Accident Analysis & Prevention Vol. 156 ( 2021-06), p. 106152-
    In: Accident Analysis & Prevention, Elsevier BV, Vol. 156 ( 2021-06), p. 106152-
    Type of Medium: Online Resource
    ISSN: 0001-4575
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1498752-1
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  • 5
    In: Frontiers in Psychology, Frontiers Media SA, Vol. 11 ( 2020-6-3)
    Type of Medium: Online Resource
    ISSN: 1664-1078
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2020
    detail.hit.zdb_id: 2563826-9
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  • 6
    Online Resource
    Online Resource
    Elsevier BV ; 2012
    In:  Journal of Safety Research Vol. 43, No. 1 ( 2012-2), p. 49-58
    In: Journal of Safety Research, Elsevier BV, Vol. 43, No. 1 ( 2012-2), p. 49-58
    Type of Medium: Online Resource
    ISSN: 0022-4375
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2012
    detail.hit.zdb_id: 2015321-1
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  • 7
    Online Resource
    Online Resource
    Elsevier BV ; 2021
    In:  Journal of Safety Research Vol. 79 ( 2021-12), p. 76-82
    In: Journal of Safety Research, Elsevier BV, Vol. 79 ( 2021-12), p. 76-82
    Type of Medium: Online Resource
    ISSN: 0022-4375
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2015321-1
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  • 8
    Online Resource
    Online Resource
    SAGE Publications ; 2006
    In:  Proceedings of the Human Factors and Ergonomics Society Annual Meeting Vol. 50, No. 17 ( 2006-10), p. 2003-2007
    In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, SAGE Publications, Vol. 50, No. 17 ( 2006-10), p. 2003-2007
    Abstract: Previous work has shown that drivers engaged in concurrent cognitive tasks exhibit some adaptive behaviors to enhance safety, such as increasing their headway distance, despite the fact that other aspects of safety might be compromised. However, these studies often test steady-state behaviors (e.g., car-following) that might not be representative of traffic situations in which drivers' goals and intentions are constantly changing (i.e., involving tactical vehicle control). In two simulator experiments, we examined the impact of mental workload on drivers engaged in a “naturalistic” tactical driving task. In Experiment 1, we explored the safety margins (distances) that drivers maintain between themselves and vehicles around them when completing a passing maneuver. In Experiment 2, we examined safety margins and performance under less constrained, yet more realistic and dynamic conditions. In both experiments, we found no evidence that drivers adjust their safety margins to account for the additional demands of performing a cognitive task. The implications for steady-state experimental scenarios versus more dynamic ones are discussed.
    Type of Medium: Online Resource
    ISSN: 2169-5067 , 1071-1813
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2006
    detail.hit.zdb_id: 2415770-3
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  • 9
    Online Resource
    Online Resource
    SAGE Publications ; 2016
    In:  Proceedings of the Human Factors and Ergonomics Society Annual Meeting Vol. 60, No. 1 ( 2016-09), p. 1334-1338
    In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, SAGE Publications, Vol. 60, No. 1 ( 2016-09), p. 1334-1338
    Abstract: Drivers’ trust in automation will likely determine the extent that autonomous and semi-autonomous vehicles are adopted, and once adopted, used properly. Unfortunately, previous studies have typically utilized overt subjective measures in determining an individual’s level of trust in automation. The current study aims to evaluate a covert behavioral measure of trust based on drivers’ body (head, hand, and foot) movements as they experience a simulated autonomous system. Videos of drivers interacting with an autonomous driving system in a driving simulator were coded. Body movement counts and average durations were derived from this coding and these data were compared across quartile rankings (based on self-reported trust) to examine body movements’ sensitivity to drivers’ level of trust. Results suggest body movements are not sensitive to individual differences in reported trust. Future work should further examine the utility of this covert behavioral metric by further examining situational differences.
    Type of Medium: Online Resource
    ISSN: 2169-5067 , 1071-1813
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2016
    detail.hit.zdb_id: 2415770-3
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  • 10
    Online Resource
    Online Resource
    SAGE Publications ; 2017
    In:  Proceedings of the Human Factors and Ergonomics Society Annual Meeting Vol. 61, No. 1 ( 2017-09), p. 1979-1979
    In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, SAGE Publications, Vol. 61, No. 1 ( 2017-09), p. 1979-1979
    Abstract: As automotive manufacturers are increasing the amount of technology and automation available in vehicles, drivers must increase their understanding of how to properly use these technologies before the full safety benefits can be realized. Unfortunately, recent work has suggested that even drivers with the most advanced vehicles often have little understanding of the available technology (McDonald et al., 2017). Yet, this poor understanding of advanced driver assistance systems cannot entirely be blamed on the driver; other factors, such as the availability and quality of instructional sources are also at play (e.g., Abraham et al., 2017). Facilitating access to safety-critical information and standardizing instructional and operational components are two potential routes to increase drivers’ knowledge. However, target areas must be identified. The current study reviewed the degree to which automated systems in passenger vehicles and related information varied among those moderately-priced and luxury models marketed and sold in the United States. Information regarding ten existing longitudinal (e.g., adaptive cruise control) and ten lateral control automated systems (i.e., those that provide sustained lateral control and lane centering) were gathered from OEM websites and operator manuals. Information was coded and synthesized, including the name of the system, the stated functionality, operation, and system constraints as well as the source of the information. Results of this exercise suggest a number of target areas for researchers, OEMs and policy makers to consider in attempts to increase accessibility, knowledge, and ultimately safe usage of these technologies. First, a high degree of variability was observed even among basic characteristics of these technologies such as the system name. This was particularly an issue among luxury automated longitudinal control systems where every system had a fairly different name. While the activation methods were largely consistent across both lateral and longitudinal systems, the deactivation methods varied a great deal both in the allowance of alternative methods and the type of method (if allowed). Moreover, all the systems provided some form of visual feedback to the driver, but this feedback still varied greatly, particularly among lateral systems, in the location of the feedback and the modality that supplemental feedback was presented. System limits for both automated lateral and longitudinal systems were also elucidated. The majority of OEMs reported five types of system limits: curves, stopped vehicles, weather, small obstacles (e.g., pedestrians, bicyclists), and hills. Similar to the lateral control systems, two OEMs also reported difficulty handling an occupied adjacent lane. These limits were elucidated primarily through the operator manual for each respective model. While some information concerning these limits was available on the website, generally information gathered at this location was restricted. This limited accessibility to information is likely leading to individuals not getting this information, resulting in the poor understanding of these systems observed among owners and even dealers of this technology (Abraham et al., 2017; McDonald et al., 2017). When these individuals do take the time to read the operator manual and do get this information, the variability across systems likely limits their understanding and building of a mental model that supports safe usage over time as they encounter other similar systems.
    Type of Medium: Online Resource
    ISSN: 2169-5067 , 1071-1813
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2415770-3
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