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Augmenting human hazard situational awareness with haptic interface for heterogeneous autonomous vehicles

dc.contributor.authorXing, Yang
dc.contributor.authorWang, Ziyue
dc.contributor.authorKong, Xiangqi
dc.contributor.authorGuo, Weisi
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2026-06-11T08:41:30Z
dc.date.available2026-06-11T08:41:30Z
dc.date.freetoread2026-06-11
dc.date.issued2026-12-31
dc.date.pubOnline2026-05-21
dc.description.abstractAs vehicle autonomy increases, human operators become more susceptible to distractions and a loss of situational awareness (SA) due to cognitive limitations. Rapidly enhancing human SA in hazardous situations is, therefore, critical for timely hazard perception and collision avoidance, particularly in human-vehicle teaming contexts that demand fast, accurate hazard reasoning. This study evaluates the efficiency of a low-cost vibrotactile interface for enhancing hazard SA of human operators when teaming with heterogeneous autonomous vehicles, including both ground and aerial autonomous vehicles. To do so, we evaluate the effectiveness of a vibrotactile interface in challenging time-critical scenarios considering adversarial attacks to better understand the cognitive constraints faced by human operators. Our quantitative analysis, based on the data collected from 39 participants, demonstrates that: first, haptic cues can significantly enhance human hazard SA across various metrics for the ground and aerial scenarios; second, perception of aerial attacks in a 3-D environment is more challenging than ground risk perception.
dc.description.journalNameIEEE Transactions on Human-Machine Systems
dc.description.sponsorshipThis work was supported by the Royal Society Research under Grant GS/R1/231037.
dc.format.extentpp. xx-xx
dc.identifier.citationXing Y, Wang Z, Kong X, et al., (2026) Augmenting human hazard situational awareness with haptic interface for heterogeneous autonomous vehicles. IEEE Transactions on Human-Machine Systems, Available online 21 May 2026en_UK
dc.identifier.eissn2168-2305
dc.identifier.elementsID870720
dc.identifier.issn2168-2291
dc.identifier.urihttps://doi.org/10.1109/thms.2026.3688755
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/25308
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_UK
dc.publisher.urihttps://ieeexplore.ieee.org/document/11533579
dc.relation.isreferencedbyhttps://github.com/YXING-CC/EEG-EMG-DATASET
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAutonomous vehiclesen_UK
dc.subjecthuman-machine teamingen_UK
dc.subjectsituational awarenessen_UK
dc.subjectvibrotactile interfaceen_UK
dc.subject46 Information and Computing Sciencesen_UK
dc.subject4602 Artificial Intelligenceen_UK
dc.titleAugmenting human hazard situational awareness with haptic interface for heterogeneous autonomous vehiclesen_UK
dc.typeArticle
dc.type.subtypeJournal Article
dcterms.dateAccepted2026-04-25

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