{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T17:06:44Z","timestamp":1788887204625,"version":"build-2803163510"},"reference-count":74,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004835","name":"Zhejiang University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004835","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72525009"],"award-info":[{"award-number":["72525009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72431009"],"award-info":[{"award-number":["72431009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72350710798"],"award-info":[{"award-number":["72350710798"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Accident Analysis & Prevention"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.aap.2026.108716","type":"journal-article","created":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T13:19:23Z","timestamp":1786540763000},"page":"108716","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Takeover scenario semantic salience: a cognitive framework for linking scenario difficulty to driver performance and neurophysiological state"],"prefix":"10.1016","volume":"237","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2143-5188","authenticated-orcid":false,"given":"Shixiao","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiwu","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinzhi","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiqun","family":"Michael Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5428-8810","authenticated-orcid":false,"given":"Der-Horng","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.aap.2026.108716_b0005","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.trf.2021.10.004","article-title":"Evaluating the impacts of driver's pre-warning cognitive state on takeover performance under conditional automation","volume":"83","author":"Agrawal","year":"2021","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0015","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.aap.2019.06.011","article-title":"In a heart beat: using driver's physiological changes to determine the quality of a takeover in highly automated vehicles","volume":"131","author":"Alrefaie","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0020","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1177\/00187208251367179","article-title":"Evaluating the feasibility of EMG-based human\u2013machine interfaces for driving","volume":"68","author":"Basnet","year":"2025","journal-title":"Hum. Factors"},{"key":"10.1016\/j.aap.2026.108716_b0025","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J. Roy. Stat. Soc.: Ser. B (Methodol.)"},{"key":"10.1016\/j.aap.2026.108716_b0030","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1007\/s00429-019-01988-5","article-title":"Dynamics of the straight-ahead preference in human visual cortex","volume":"225","author":"Bogdanova","year":"2019","journal-title":"Brain Struct. Funct."},{"key":"10.1016\/j.aap.2026.108716_b0035","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.neubiorev.2012.10.003","article-title":"Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness","volume":"44","author":"Borghini","year":"2014","journal-title":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.aap.2026.108716_b0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2024.120546","article-title":"Theta and alpha oscillatory signatures of auditory sensory and cognitive loads during complex listening","volume":"289","author":"Brilliant","year":"2024","journal-title":"Neuroimage"},{"key":"10.1016\/j.aap.2026.108716_b0045","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1177\/1071181321651213","article-title":"Towards standardized metrics for measuring takeover performance in conditionally automated driving","volume":"65","author":"Cao","year":"2021","journal-title":"Proc. Hum. Factors Ergon. Soc. Annu. Meet."},{"key":"10.1016\/j.aap.2026.108716_b0050","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1016\/j.tics.2014.04.012","article-title":"Frontal theta as a mechanism for cognitive control","volume":"18","author":"Cavanagh","year":"2014","journal-title":"Trends Cogn. Sci."},{"key":"10.1016\/j.aap.2026.108716_b0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.108051","article-title":"Impact of anger-inducing situations on driver takeover behavior in highly automated vehicles","volume":"217","author":"Cazes","year":"2025","journal-title":"Accid. Anal. Prev."},{"issue":"1","key":"10.1016\/j.aap.2026.108716_b0060","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1177\/1745691613513470","article-title":"Priming, replication, and the hardest science","volume":"9","author":"Cesario","year":"2014","journal-title":"Perspect. Psychol. Sci."},{"key":"10.1016\/j.aap.2026.108716_b0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.108012","article-title":"A systematic review on test performance of the driver takeover process in automated driving","volume":"215","author":"Chen","year":"2025","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0070","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1146\/annurev.neuro.051508.135409","article-title":"Neural mechanisms for interacting with a world full of action choices","volume":"33","author":"Cisek","year":"2010","journal-title":"Annu. Rev. Neurosci."},{"key":"10.1016\/j.aap.2026.108716_b0375","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1016\/j.trf.2012.08.001","article-title":"An investigation of the relationship between the driving behavior questionnaire and objective measures of highway driving behavior","volume":"15","author":"Zhao","year":"2012","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0075","doi-asserted-by":"crossref","unstructured":"Dan, E. L., D\u00een\u015foreanu, M., & Mure\u015fan, R. C. (2020). Accuracy of six interpolation methods applied on pupil diameter data. In 2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), Cluj-Napoca, Romania, pp. 1\u20135.","DOI":"10.1109\/AQTR49680.2020.9129915"},{"key":"10.1016\/j.aap.2026.108716_b0080","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","article-title":"EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis","volume":"134","author":"Delorme","year":"2004","journal-title":"J. Neurosci. Methods"},{"key":"10.1016\/j.aap.2026.108716_b0085","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.trf.2024.06.012","article-title":"How to design driver takeover request in real-world scenarios: a systematic review","volume":"104","author":"Deng","year":"2024","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2023.107372","article-title":"An analysis of physiological responses as indicators of driver takeover readiness in conditionally automated driving","volume":"195","author":"Deng","year":"2024","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0095","doi-asserted-by":"crossref","first-page":"2051","DOI":"10.1109\/TITS.2016.2535402","article-title":"Where does the driver look? Top-down-based saliency detection in a traffic driving environment","volume":"17","author":"Deng","year":"2016","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.aap.2026.108716_b0100","doi-asserted-by":"crossref","first-page":"5003","DOI":"10.1523\/JNEUROSCI.3765-13.2014","article-title":"Effective connectivity reveals right-hemisphere dominance in audiospatial perception: Implications for models of spatial neglect","volume":"34","author":"Dietz","year":"2014","journal-title":"J. Neurosci."},{"key":"10.1016\/j.aap.2026.108716_b0105","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1016\/j.trf.2019.02.010","article-title":"Effects of non-driving-related tasks on takeover performance in different takeover situations in conditionally automated driving","volume":"62","author":"Dogan","year":"2019","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0110","unstructured":"Dosovitskiy, A., Ros, G., Codevilla, F., Lopez, A., & Koltun, V. (2017). CARLA: An open urban driving simulator. arXiv preprint arXiv:1711.03938."},{"key":"10.1016\/j.aap.2026.108716_b0115","article-title":"Psychophysiological responses to takeover requests in conditionally automated driving","volume":"148","author":"Du","year":"2020","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0120","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.trf.2024.01.008","article-title":"Behavioral and physiological responses to takeovers in different scenarios during conditionally automated driving","volume":"101","author":"Du","year":"2024","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"issue":"2","key":"10.1016\/j.aap.2026.108716_b0125","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1167\/8.2.2","article-title":"Task-demands can immediately reverse the effects of sensory-driven saliency in complex visual stimuli","volume":"8","author":"Einh\u00e4user","year":"2008","journal-title":"J. Vis."},{"key":"10.1016\/j.aap.2026.108716_b0130","doi-asserted-by":"crossref","first-page":"9","DOI":"10.4324\/9781315087924-3","article-title":"Toward a theory of situation awareness in dynamic systems","author":"Endsley","year":"2017","journal-title":"Situational Awareness"},{"issue":"3","key":"10.1016\/j.aap.2026.108716_b0135","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2560\/13\/3\/036015","article-title":"The effect of epoch length on estimated EEG functional connectivity and brain network organisation","volume":"13","author":"Fraschini","year":"2016","journal-title":"J. Neural Eng."},{"key":"10.1016\/j.aap.2026.108716_b0140","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.aap.2016.07.032","article-title":"Identifying cognitive distraction using steering wheel reversal rates","volume":"96","author":"Georgios","year":"2016","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0145","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1177\/0018720816634226","article-title":"Taking over control from highly automated vehicles in complex traffic situations: the role of traffic density","volume":"58","author":"Gold","year":"2016","journal-title":"Hum. Factors"},{"key":"10.1016\/j.aap.2026.108716_b0150","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.trf.2023.08.002","article-title":"Measuring takeover performance in different driving scenarios: considering the influence of non-driving-related tasks and takeover request lead time","volume":"97","author":"Gong","year":"2023","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.108327","article-title":"The impact of N-back-induced mental workload and time budget on takeover performance","volume":"225","author":"Goodridge","year":"2026","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0160","doi-asserted-by":"crossref","first-page":"1683","DOI":"10.3758\/s13423-019-01642-5","article-title":"Scene semantics involuntarily guide attention during visual search","volume":"26","author":"Hayes","year":"2019","journal-title":"Psychon. Bull. Rev."},{"key":"10.1016\/j.aap.2026.108716_b0165","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1038\/s41562-017-0208-0","article-title":"Meaning-based guidance of attention in scenes as revealed by meaning maps","volume":"1","author":"Henderson","year":"2017","journal-title":"Nat. Hum. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0170","doi-asserted-by":"crossref","first-page":"1777","DOI":"10.1109\/TVT.2023.3319495","article-title":"The challenges of driving mode switching in automated vehicles: a review","volume":"73","author":"Hu","year":"2024","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.aap.2026.108716_b0175","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1016\/j.trf.2024.10.009","article-title":"Do dotted extensions help guide drivers at a transition area of partial-shadowed left-turn lane? an investigation based on eye movement behavior and visual attention","volume":"107","author":"Huang","year":"2024","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0180","doi-asserted-by":"crossref","first-page":"998","DOI":"10.1109\/TAFFC.2021.3134183","article-title":"Neurofeedback training with an electroencephalogram-based brain-computer interface enhances emotion regulation","volume":"14","author":"Huang","year":"2023","journal-title":"IEEE Trans. Affect. Comput."},{"key":"10.1016\/j.aap.2026.108716_b0185","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2024.107687","article-title":"Enhancing safety in conditionally automated driving: can more takeover request visual information make a difference in hazard scenarios with varied hazard visibility?","volume":"205","author":"Huang","year":"2024","journal-title":"Accid. Anal. Prev."},{"issue":"7","key":"10.1016\/j.aap.2026.108716_b0190","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1167\/jov.21.7.12","article-title":"The extrafoveal preview paradigm as a measure of predictive, active sampling in visual perception","volume":"21","author":"Huber-Huber","year":"2021","journal-title":"J. Vis."},{"key":"10.1016\/j.aap.2026.108716_b0195","doi-asserted-by":"crossref","first-page":"1489","DOI":"10.1016\/S0042-6989(99)00163-7","article-title":"A saliency-based search mechanism for overt and covert shifts of visual attention","volume":"40","author":"Itti","year":"2000","journal-title":"Vision Res."},{"key":"10.1016\/j.aap.2026.108716_b0200","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.jpsychires.2023.11.046","article-title":"Childhood stress, gender, and cognitive control: Midline theta power","volume":"169","author":"Kavanaugh","year":"2024","journal-title":"J. Psychiatr. Res."},{"issue":"2","key":"10.1016\/j.aap.2026.108716_b0205","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jcm.2016.02.012","article-title":"A guideline of selecting and reporting intraclass correlation coefficients for reliability research","volume":"15","author":"Koo","year":"2016","journal-title":"J. Chiropr. Med."},{"key":"10.1016\/j.aap.2026.108716_b0210","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1016\/j.jesp.2013.03.013","article-title":"Detecting outliers: do not use standard deviation around the mean, use absolute deviation around the median","volume":"49","author":"Leys","year":"2013","journal-title":"J. Exp. Soc. Psychol."},{"key":"10.1016\/j.aap.2026.108716_b0215","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.108348","article-title":"Beyond distraction: unraveling touchscreen effects on driver takeover performance and visual attention dynamics in Level 3 automated driving","volume":"226","author":"Li","year":"2026","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0220","doi-asserted-by":"crossref","first-page":"4235","DOI":"10.1109\/TITS.2022.3233623","article-title":"A human-centered comprehensive measure of take-over performance based on multiple objective metrics","volume":"24","author":"Li","year":"2023","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.aap.2026.108716_b0225","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.trf.2020.03.001","article-title":"Effects of different non-driving-related-task display modes on drivers' eye-movement patterns during take-over in an automated vehicle","volume":"70","author":"Li","year":"2020","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0230","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.trf.2024.08.026","article-title":"Eye tracking measures of bicyclists' behavior and perception: a systematic review","volume":"107","author":"Ma","year":"2024","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0235","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1080\/00423110701576130","article-title":"Human driving data-based design of a vehicle adaptive cruise control algorithm","volume":"46","author":"Moon","year":"2008","journal-title":"Veh. Syst. Dyn."},{"key":"10.1016\/j.aap.2026.108716_b0240","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.aap.2017.08.027","article-title":"Driving performance at lateral system limits during partially automated driving","volume":"108","author":"Naujoks","year":"2017","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0245","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2024.120786","article-title":"Brain correlates of attentional load processing reflect degree of bilingual engagement: evidence from EEG","volume":"298","author":"Pereira Soares","year":"2024","journal-title":"Neuroimage"},{"key":"10.1016\/j.aap.2026.108716_b0250","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.108102","article-title":"Recognizing autonomous driving disengagement scenarios using the transferable knowledge from human driver's EEG cognitive data","volume":"219","author":"Qi","year":"2025","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0255","doi-asserted-by":"crossref","unstructured":"Radlmayr, J., Ratter, M., Feldh\u00fctter, A., K\u00f6rber, M., Prasch, L., Schmidtler, J., Yang, Y., & Bengler, K. (2019). Take-overs in level 3 automated driving \u2013 Proposal of the take-over performance score (TOPS). In S. Bagnara, R. Tartaglia, S. Albolino, T. Alexander, & Y. Fujita (Eds.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (pp. 436\u2013446). Springer International Publishing.","DOI":"10.1007\/978-3-319-96074-6_46"},{"issue":"2","key":"10.1016\/j.aap.2026.108716_b0260","doi-asserted-by":"crossref","DOI":"10.2196\/35295","article-title":"Impact of visual game-like features on cognitive performance in a virtual reality working memory task: Within-subjects experiment","volume":"10","author":"Redlinger","year":"2022","journal-title":"JMIR Serious Games"},{"key":"10.1016\/j.aap.2026.108716_b0265","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105469","article-title":"The effects of cognitive distraction on behavioural, oculomotor and electrophysiological metrics during a driving hazard perception task","volume":"138","author":"Savage","year":"2020","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0270","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.trf.2012.10.002","article-title":"Does preoccupation impair hazard perception? a simultaneous EEG and eye tracking study","volume":"17","author":"Savage","year":"2013","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0275","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1109\/TITS.2020.3013278","article-title":"Differential impact of autonomous vehicle malfunctions on human trust","volume":"23","author":"Seet","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.aap.2026.108716_b0280","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1038\/s41562-022-01335-5","article-title":"Theta oscillations shift towards optimal frequency for cognitive control","volume":"6","author":"Senoussi","year":"2022","journal-title":"Nat. Hum. Behav."},{"issue":"1","key":"10.1016\/j.aap.2026.108716_b0285","doi-asserted-by":"crossref","first-page":"3","DOI":"10.4271\/12-03-01-0003","article-title":"The principles of operation framework: a comprehensive classification concept for automated driving functions","volume":"3","author":"Shi","year":"2020","journal-title":"SAE Int. J. Connected Automated Vehicles"},{"key":"10.1016\/j.aap.2026.108716_b0290","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1109\/RBME.2021.3066072","article-title":"Review of eye tracking metrics involved in emotional and cognitive processes","volume":"16","author":"Skaramagkas","year":"2023","journal-title":"IEEE Rev. Biomed. Eng."},{"key":"10.1016\/j.aap.2026.108716_b0295","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/S0926-6410(00)00009-4","article-title":"Neurophysiological and behavioral indices of time pressure effects on visuomotor task performance","volume":"9","author":"Slobounov","year":"2000","journal-title":"Cogn. Brain Res."},{"key":"10.1016\/j.aap.2026.108716_b0300","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1016\/j.visres.2004.09.017","article-title":"Visual correlates of fixation selection: effects of scale and time","volume":"45","author":"Tatler","year":"2005","journal-title":"Vision Res."},{"key":"10.1016\/j.aap.2026.108716_b0305","doi-asserted-by":"crossref","first-page":"1548","DOI":"10.1016\/j.neuroimage.2011.01.055","article-title":"An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias","volume":"55","author":"Vinck","year":"2011","journal-title":"Neuroimage"},{"key":"10.1016\/j.aap.2026.108716_b0310","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1007\/s00429-019-02004-6","article-title":"Resting-state network topology and planning ability in healthy adults","volume":"225","author":"Vriend","year":"2019","journal-title":"Brain Struct. Funct."},{"key":"10.1016\/j.aap.2026.108716_b0315","doi-asserted-by":"crossref","first-page":"3818","DOI":"10.1109\/TITS.2018.2789482","article-title":"Vehicle path prediction using yaw acceleration for adaptive cruise control","volume":"19","author":"Kim","year":"2018","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.aap.2026.108716_b0320","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/j.trf.2024.06.014","article-title":"The association between physiological and eye-tracking metrics and cognitive load in drivers: a meta-analysis","volume":"104","author":"Wang","year":"2024","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0325","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.108022","article-title":"Exploring how physio-psychological states affect drivers' takeover performance in conditional automated vehicles","volume":"216","author":"Wang","year":"2025","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0330","doi-asserted-by":"crossref","DOI":"10.1016\/j.trc.2023.104212","article-title":"Transitioning to multi-dimensional estimation of visual distraction and its safety effects under automated driving: a spatiotemporal and directional estimation approach","volume":"153","author":"Wang","year":"2023","journal-title":"Transp. Res. Part C Emerging Technol."},{"key":"10.1016\/j.aap.2026.108716_b0335","doi-asserted-by":"crossref","unstructured":"Wen, T., Zhang, X., Wan, Z., Zhao, J., Zhu, Y., Su, N., Peng, X., Huang, J., Sun, W., Tian, F., & Li, F.M. (2025). PANDA: Parkinson's Assistance and Notification Driving Aid. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems.","DOI":"10.1145\/3706598.3713920"},{"key":"10.1016\/j.aap.2026.108716_b0340","doi-asserted-by":"crossref","first-page":"R691","DOI":"10.1016\/j.cub.2017.06.007","article-title":"Posterior parietal cortex","volume":"27","author":"Whitlock","year":"2017","journal-title":"Curr. Biol."},{"key":"10.1016\/j.aap.2026.108716_b0345","doi-asserted-by":"crossref","first-page":"0058","DOI":"10.1038\/s41562-017-0058","article-title":"Five factors that guide attention in visual search","volume":"1","author":"Wolfe","year":"2017","journal-title":"Nat. Hum. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0350","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105617","article-title":"Sleep in highly automated driving: takeover performance after waking up","volume":"144","author":"W\u00f6rle","year":"2020","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0355","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.108158","article-title":"Impact of information-assisted modalities and levels on driver takeover performance in conditional automated driving","volume":"220","author":"Yu","year":"2025","journal-title":"Accid. Anal. Prev."},{"key":"10.1016\/j.aap.2026.108716_b0360","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.trf.2017.07.008","article-title":"Why is steering not the same as braking? the impact of non-driving related tasks on lateral and longitudinal driver interventions during conditionally automated driving","volume":"50","author":"Zeeb","year":"2017","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0365","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.trf.2019.04.020","article-title":"Determinants of take-over time from automated driving: a meta-analysis of 129 studies","volume":"64","author":"Zhang","year":"2019","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"key":"10.1016\/j.aap.2026.108716_b0370","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.108008","article-title":"Effects of time interval and request modality on driver takeover responses: Identifying the optimal time interval for two-stage warning system","volume":"215","author":"Zhang","year":"2025","journal-title":"Accid. Anal. Prev."}],"container-title":["Accident Analysis & Prevention"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457526003258?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0001457526003258?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T16:11:16Z","timestamp":1788883876000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0001457526003258"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":74,"alternative-id":["S0001457526003258"],"URL":"https:\/\/doi.org\/10.1016\/j.aap.2026.108716","relation":{},"ISSN":["0001-4575"],"issn-type":[{"value":"0001-4575","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Takeover scenario semantic salience: a cognitive framework for linking scenario difficulty to driver performance and neurophysiological state","name":"articletitle","label":"Article Title"},{"value":"Accident Analysis & Prevention","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.aap.2026.108716","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"108716"}}