{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T08:00:48Z","timestamp":1776931248508,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["LP150100979"],"award-info":[{"award-number":["LP150100979"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,21]]},"DOI":"10.1145\/3744333.3747809","type":"proceedings-article","created":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T10:48:51Z","timestamp":1759574931000},"page":"26-35","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Measuring Driver Electrodermal Activity when Exposed to HMIs Conveying Uncertainty in Conditional Automated Driving"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7621-1005","authenticated-orcid":false,"given":"Jorge","family":"Pardo","sequence":"first","affiliation":[{"name":"Centre for Accident Research and Road Safety - Queensland (CARRS-Q), Queensland University of Technology (QUT), Brisbane, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2129-1671","authenticated-orcid":false,"given":"Xiaomeng","family":"Li","sequence":"additional","affiliation":[{"name":"Centre for Accident Research and Road Safety - Queensland (CARRS-Q), Queensland University of Technology (QUT), Brisbane, Queensland, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7850-6050","authenticated-orcid":false,"given":"Michael A.","family":"Gerber","sequence":"additional","affiliation":[{"name":"Centre for Accident Research and Road Safety - Queensland (CARRS-Q), Queensland University of Technology (QUT), Brisbane, Australia and msg systems AG, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5426-7654","authenticated-orcid":false,"given":"Rafael Cirino","family":"Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"Institute for Transport Studies, University of Leeds, Leeds, West Yorkshire, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6422-4623","authenticated-orcid":false,"given":"Jonny","family":"Kuo","sequence":"additional","affiliation":[{"name":"Seeing Machines Ltd., Canberra, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1671-6276","authenticated-orcid":false,"given":"Mike","family":"Lenn\u00e9","sequence":"additional","affiliation":[{"name":"Seeing Machines Ltd., Melbourne, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7990-1474","authenticated-orcid":false,"given":"Ronald","family":"Schroeter","sequence":"additional","affiliation":[{"name":"Centre for Accident Research and Road Safety - Queensland (CARRS-Q), Queensland University of Technology (QUT), Brisbane, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,4]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"P Bazilinskyy S\u00a0M Petermeijer V Petrovych D Dodou and J\u00a0C\u00a0F de Winter. 2018. Take-over requests in highly automated driving: A crowdsourcing survey on auditory vibrotactile and visual displays. Transp. Res. Part F Traffic Psychol. Behav. 56 (July 2018) 82\u201398.","DOI":"10.1016\/j.trf.2018.04.001"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"Johannes Beller Matthias Heesen and Mark Vollrath. 2013. Improving the driver-automation interaction: an approach using automation uncertainty: An approach using automation uncertainty. Hum. Factors 55 6 (Dec. 2013) 1130\u20131141.","DOI":"10.1177\/0018720813482327"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Mathias Benedek and Christian Kaernbach. 2010. A continuous measure of phasic electrodermal activity. J. Neurosci. Methods 190 1 (June 2010) 80\u201391.","DOI":"10.1016\/j.jneumeth.2010.04.028"},{"key":"e_1_3_3_1_5_2","volume-title":"Electrodermal Activity (2 ed.)","author":"Boucsein Wolfram","year":"2011","unstructured":"Wolfram Boucsein. 2011. Electrodermal Activity (2 ed.). Springer, New York, NY."},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Karel\u00a0A Brookhuis and Dick de Waard. 2010. Monitoring drivers\u2019 mental workload in driving simulators using physiological measures. Accid. Anal. Prev. 42 3 (May 2010) 898\u2013903.","DOI":"10.1016\/j.aap.2009.06.001"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Hugo\u00a0D Critchley. 2002. Electrodermal responses: what happens in the brain. Neuroscientist 8 2 (April 2002) 132\u2013142.","DOI":"10.1177\/107385840200800209"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"Ahmet\u00a0Cengizhan Dirican and Mehmet G\u00f6kt\u00fcrk. 2011. Psychophysiological measures of human cognitive states applied in human computer interaction. Procedia Comput. Sci. 3 (Jan. 2011) 1361\u20131367.","DOI":"10.1016\/j.procs.2011.01.016"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Mica\u00a0R Endsley. 2017. Autonomous driving systems: A preliminary naturalistic study of the Tesla Model S. J. Cogn. Eng. Decis. Mak. 11 3 (Sept. 2017) 225\u2013238.","DOI":"10.1177\/1555343417695197"},{"key":"e_1_3_3_1_10_2","volume-title":"A handbook of process tracing methods for decision research","author":"Figner B.","year":"2011","unstructured":"B. Figner and R.\u00a0O. Murphy. 2011. Using skin conductance in judgment and decision making research. In A handbook of process tracing methods for decision research, M. Schulte-Mecklenbeck, A. Kuehberger, & R. Ranyard (Ed.). Psychology Press, New York, NY."},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/964442.964469"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","unstructured":"Michael\u00a0A. Gerber Ronald Schroeter and Bonnie Ho. 2023. A human factors perspective on how to keep SAE Level 3 conditional automated driving safe. Transportation Research Interdisciplinary Perspectives 22 (2023) 100959. 10.1016\/j.trip.2023.100959","DOI":"10.1016\/j.trip.2023.100959"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642219"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3342197.3344533"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376751"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Christian Gold Daniel Damb\u00f6ck Lutz Lorenz and Klaus Bengler. 2013. \u201cTake over!\u201d How long does it take to get the driver back into the loop? Proc. Hum. Fact. Ergon. Soc. Annu. Meet. 57 1 (Sept. 2013) 1938\u20131942.","DOI":"10.1177\/1541931213571433"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"R\u00a0C Gon\u00e7alves T Louw Y\u00a0M Lee R Madigan J Kuo M Lenn\u00e9 and N Merat. 2023. Is Users\u2019 Trust during Automated Driving Different When Using an Ambient Light HMI Compared to an Auditory HMI? Information 14 5 (May 2023) 17.","DOI":"10.3390\/info14050260"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.54941\/ahfe1001707"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"P\u00a0A Hancock Illah Nourbakhsh and Jack Stewart. 2019. On the future of transportation in an era of automated and autonomous vehicles. Proc. Natl. Acad. Sci. U. S. A. 116 16 (April 2019) 7684\u20137691.","DOI":"10.1073\/pnas.1805770115"},{"key":"e_1_3_3_1_20_2","series-title":"Advances in psychology","first-page":"139","volume-title":"Advances in Psychology","author":"Hart Sandra\u00a0G","year":"1988","unstructured":"Sandra\u00a0G Hart and Lowell\u00a0E Staveland. 1988. Development of NASA-TLX (task load index): Results of empirical and theoretical research. In Advances in Psychology. Advances in psychology, Vol.\u00a052. Elsevier, Los Angeles, CA. U.S.A, 139\u2013183."},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"J\u00a0A Healey and R\u00a0W Picard. 2005. Detecting stress during real-world driving tasks using physiological sensors. IEEE Trans. Intell. Transp. Syst. 6 2 (June 2005) 156\u2013166.","DOI":"10.1109\/TITS.2005.848368"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/2516540.2516554"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"crossref","unstructured":"Jiaqi Huang Qiliang Zhang Tingru Zhang Tieyan Wang and Da Tao. 2024. Assessment of drivers\u2019 mental workload by multimodal measures during auditory-based dual-task driving scenarios. Sensors (Basel) 24 3 (Feb. 2024) 1041.","DOI":"10.3390\/s24031041"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Christian\u00a0P Janssen Shamsi\u00a0T Iqbal Andrew\u00a0L Kun and Stella\u00a0F Donker. 2019. Interrupted by my car? Implications of interruption and interleaving research for automated vehicles. Int. J. Hum. Comput. Stud. 130 (Oct. 2019) 221\u2013233.","DOI":"10.1016\/j.ijhcs.2019.07.004"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3239060.3239074"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"Alexander Kunze Stephen\u00a0J Summerskill Russell Marshall and Ashleigh\u00a0J Filtness. 2019. Automation transparency: implications of uncertainty communication for human-automation interaction and interfaces. Ergonomics 62 3 (March 2019) 345\u2013360.","DOI":"10.1080\/00140139.2018.1547842"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Xiaomeng Li Ronald Schroeter Andry Rakotonirainy Jonny Kuo and Michael\u00a0G Lenn\u00e9. 2020. Effects of different non-driving-related-task display modes on drivers\u2019 eye-movement patterns during take-over in an automated vehicle. Transp. Res. Part F Traffic Psychol. Behav. 70 (April 2020) 135\u2013148.","DOI":"10.1016\/j.trf.2020.03.001"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Xiaomeng Li Ronald Schroeter Andry Rakotonirainy Jonny Kuo and Michael\u00a0G Lenn\u00e9. 2021. Get Ready for Take-Overs: Using Head-Up Display for Drivers to Engage in Non-Driving-Related Tasks in Automated Vehicles. Hum. Factors 65 8 (Dec. 2021) 187208211056200.","DOI":"10.1177\/00187208211056200"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"Nade Liang Jing Yang Denny Yu Kwaku\u00a0O Prakah-Asante Reates Curry Mike Blommer Radhakrishnan Swaminathan and Brandon\u00a0J Pitts. 2021. Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving. Accid. Anal. Prev. 157 106143 (July 2021) 106143.","DOI":"10.1016\/j.aap.2021.106143"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"crossref","unstructured":"Lutz Lorenz Philipp Kerschbaum and Josef Schumann. 2014. Designing take over scenarios for automated driving: How does augmented reality support the driver to get back into the loop? Proc. Hum. Factors Ergon. Soc. Annu. Meet. 58 1 (Sept. 2014) 1681\u20131685.","DOI":"10.1177\/1541931214581351"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"crossref","unstructured":"Tyron Louw Gustav Markkula Erwin Boer Ruth Madigan Oliver Carsten and Natasha Merat. 2017. Coming back into the loop: Drivers\u2019 perceptual-motor performance in critical events after automated driving. Accid. Anal. Prev. 108 (Nov. 2017) 9\u201318.","DOI":"10.1016\/j.aap.2017.08.011"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"crossref","unstructured":"Tyron Louw and Natasha Merat. 2017. Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation. Transp. Res. Part C: Emerg. Technol. 76 (March 2017) 35\u201350.","DOI":"10.1016\/j.trc.2017.01.001"},{"key":"e_1_3_3_1_33_2","volume-title":"Innovating for People: Handbook of Human-Centered Design Methods","author":"Institute LUMA","year":"2012","unstructured":"LUMA Institute. 2012. Innovating for People: Handbook of Human-Centered Design Methods. LUMA Institute, LUMA Institute, LLC 733 Washington Rd, Suite 212 Mt. Lebanon, PA 15228, USA."},{"key":"e_1_3_3_1_34_2","first-page":"595","volume-title":"Advances in Intelligent Systems and Computing","author":"Marberger Claus","year":"2018","unstructured":"Claus Marberger, Holger Mielenz, Frederik Naujoks, Jonas Radlmayr, Klaus Bengler, and Bernhard Wandtner. 2018. Understanding and applying the concept of \u201cdriver availability\u201d in automated driving. In Advances in Intelligent Systems and Computing. Springer International Publishing, Cham, 595\u2013605."},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"crossref","unstructured":"Frederik Naujoks Christian Purucker and Alexandra Neukum. 2016. Secondary task engagement and vehicle automation \u2013 Comparing the effects of different automation levels in an on-road experiment. Transp. Res. Part F Traffic Psychol. Behav. 38 (April 2016) 67\u201382.","DOI":"10.1016\/j.trf.2016.01.011"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"crossref","unstructured":"Vishnu Radhakrishnan Natasha Merat Tyron Louw Rafael\u00a0Cirino Gon\u00e7alves Guilhermina Torrao Wei Lyu Pablo Puente\u00a0Guillen and Michael\u00a0G Lenn\u00e9. 2022. Physiological indicators of driver workload during car-following scenarios and takeovers in highly automated driving. Transp. Res. Part F Traffic Psychol. Behav. 87 (May 2022) 149\u2013163.","DOI":"10.1016\/j.trf.2022.04.002"},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"crossref","unstructured":"Jonas Radlmayr Christian Gold Lutz Lorenz Mehdi Farid and Klaus Bengler. 2014. How traffic situations and non-driving related tasks affect the take-over quality in highly automated driving. Proc. Hum. Factors Ergon. Soc. Annu. Meet. 58 1 (Sept. 2014) 2063\u20132067.","DOI":"10.1177\/1541931214581434"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/1620509.1620531"},{"key":"e_1_3_3_1_39_2","unstructured":"SAE. 2021. J3016_202104: Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles - SAE International. https:\/\/www.sae.org\/standards\/content\/j3016_202104\/. Accessed: 2023-8-24."},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"crossref","unstructured":"Elisabeth Schmidt and Angelika\u00a0C Bullinger. 2019. Mitigating passive fatigue during monotonous drives with thermal stimuli: Insights into the effect of different stimulation durations. Accid. Anal. Prev. 126 (May 2019) 115\u2013121.","DOI":"10.1016\/j.aap.2017.12.005"},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/3010915.3010973"},{"key":"e_1_3_3_1_42_2","doi-asserted-by":"crossref","unstructured":"Anders Skrondal and Sophia Rabe-Hesketh. 2009. Prediction in Multilevel Generalized Linear Models. J R Stat Soc Ser A Stat Soc 172 3 (March 2009) 659\u2013687.","DOI":"10.1111\/j.1467-985X.2009.00587.x"},{"key":"e_1_3_3_1_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/2799250.2799268"},{"key":"e_1_3_3_1_44_2","doi-asserted-by":"crossref","unstructured":"Jingyan Wan and Changxu Wu. 2018. The Effects of Lead Time of Take-Over Request and Nondriving Tasks on Taking-Over Control of Automated Vehicles. IEEE Transactions on Human-Machine Systems 48 6 (Dec. 2018) 582\u2013591.","DOI":"10.1109\/THMS.2018.2844251"},{"key":"e_1_3_3_1_45_2","doi-asserted-by":"crossref","unstructured":"Adam Waytz Joy Heafner and Nicholas Epley. 2014. The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle. J. Exp. Soc. Psychol. 52 (May 2014) 113\u2013117.","DOI":"10.1016\/j.jesp.2014.01.005"},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3379336.3381502"},{"key":"e_1_3_3_1_47_2","doi-asserted-by":"crossref","unstructured":"Kathrin Zeeb Axel Buchner and Michael Schrauf. 2015. What determines the take-over time? An integrated model approach of driver take-over after automated driving. Accid. Anal. Prev. 78 (May 2015) 212\u2013221.","DOI":"10.1016\/j.aap.2015.02.023"}],"event":{"name":"AutomotiveUI '25: 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","location":"Brisbane Australia","acronym":"AutomotiveUI '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3744333.3747809","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T18:53:50Z","timestamp":1767984830000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3744333.3747809"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,21]]},"references-count":46,"alternative-id":["10.1145\/3744333.3747809","10.1145\/3744333"],"URL":"https:\/\/doi.org\/10.1145\/3744333.3747809","relation":{},"subject":[],"published":{"date-parts":[[2025,9,21]]},"assertion":[{"value":"2025-10-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}