{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:13:57Z","timestamp":1783037637307,"version":"3.54.6"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031356773","type":"print"},{"value":"9783031356780","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-35678-0_10","type":"book-chapter","created":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:04:57Z","timestamp":1688857497000},"page":"166-185","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Nudging the\u00a0Safe Zone: Design and\u00a0Assessment of\u00a0HMI Strategies Based on\u00a0Intelligent Driver State Monitoring Systems"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3439-3503","authenticated-orcid":false,"given":"Roberta","family":"Presta","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9451-2749","authenticated-orcid":false,"given":"Flavia","family":"De Simone","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0923-7931","authenticated-orcid":false,"given":"Chiara","family":"Tancredi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5883-265X","authenticated-orcid":false,"given":"Silvia","family":"Chiesa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,7,9]]},"reference":[{"key":"10_CR1","unstructured":"NHTSA: 2016 fatal motor vehicle crashes: Overview. traffic safety facts: research note. Report No. DOT HS 812 456 (2017)"},{"issue":"1","key":"10_CR2","doi-asserted-by":"publisher","first-page":"21","DOI":"10.3390\/mti3010021","volume":"3","author":"M Braun","year":"2019","unstructured":"Braun, M., Schubert, J., Pfleging, B., Alt, F.: Improving driver emotions with affective strategies. Multimodal Technol. Interac. 3(1), 21 (2019)","journal-title":"Multimodal Technol. Interac."},{"issue":"7","key":"10_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3460938","volume":"54","author":"M Braun","year":"2021","unstructured":"Braun, M., Weber, F., Alt, F.: Affective automotive user interfaces-reviewing the state of driver affect research and emotion regulation in the car. ACM Comput. Surv. (CSUR) 54(7), 1\u201326 (2021)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"194","key":"10_CR4","first-page":"4","volume":"189","author":"J Brooke","year":"1996","unstructured":"Brooke, J., et al.: SUS-a quick and dirty usability scale. Usability evaluation in industry 189(194), 4\u20137 (1996)","journal-title":"Usability evaluation in industry"},{"issue":"9","key":"10_CR5","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1016\/j.ijhcs.2011.05.003","volume":"69","author":"H Cai","year":"2011","unstructured":"Cai, H., Lin, Y.: Modeling of operators\u2019 emotion and task performance in a virtual driving environment. Int. J. Hum Comput Stud. 69(9), 571\u2013586 (2011)","journal-title":"Int. J. Hum Comput Stud."},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Caraban, A., Karapanos, E., Gon\u00e7alves, D., Campos, P.: 23 ways to nudge: a review of technology-mediated nudging in human-computer interaction. In: Proceedings of the 2019 CHI conference on human factors in computing systems, pp. 1\u201315 (2019)","DOI":"10.1145\/3290605.3300733"},{"issue":"4","key":"10_CR7","doi-asserted-by":"publisher","first-page":"55","DOI":"10.3390\/safety6040055","volume":"6","author":"L Davoli","year":"2020","unstructured":"Davoli, L., et al.: On driver behavior recognition for increased safety: a roadmap. Safety 6(4), 55 (2020)","journal-title":"Safety"},{"key":"10_CR8","doi-asserted-by":"publisher","unstructured":"De Simone, F., Presta, R.: A song can do that: an emotion induction study for the development of intelligent emotion-aware systems. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2022. Lecture Notes in Networks and Systems, vol. 543, pp. 363\u2013377. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-16078-3_24","DOI":"10.1007\/978-3-031-16078-3_24"},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Di Lena, P., Mirri, S., Prandi, C., Salomoni, P., Delnevo, G.: In-vehicle human machine interface: an approach to enhance eco-driving behaviors. In: Proceedings of the 2017 ACM Workshop on Interacting With Smart Objects, pp. 7\u201312 (2017)","DOI":"10.1145\/3038450.3038455"},{"issue":"4","key":"10_CR10","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1080\/00140139.2016.1188218","volume":"60","author":"M Fran\u00e7ois","year":"2017","unstructured":"Fran\u00e7ois, M., Osiurak, F., Fort, A., Crave, P., Navarro, J.: Automotive HMI design and participatory user involvement: review and perspectives. Ergonomics 60(4), 541\u2013552 (2017)","journal-title":"Ergonomics"},{"issue":"6","key":"10_CR11","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1080\/10447318.2018.1456150","volume":"35","author":"T Franke","year":"2019","unstructured":"Franke, T., Attig, C., Wessel, D.: A personal resource for technology interaction: development and validation of the affinity for technology interaction (ati) scale. Int. J. Human-Comput. Interac. 35(6), 456\u2013467 (2019)","journal-title":"Int. J. Human-Comput. Interac."},{"key":"10_CR12","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.paid.2014.11.053","volume":"76","author":"G Guido","year":"2015","unstructured":"Guido, G., Peluso, A.M., Capestro, M., Miglietta, M.: An Italian version of the 10-item big five inventory: An application to hedonic and utilitarian shopping values. Personality Individ. Differ. 76, 135\u2013140 (2015)","journal-title":"Personality Individ. Differ."},{"key":"10_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1007\/978-3-030-29381-9_43","volume-title":"Human-Computer Interaction \u2013 INTERACT 2019","author":"M Hassib","year":"2019","unstructured":"Hassib, M., Braun, M., Pfleging, B., Alt, F.: Detecting and influencing driver emotions using psycho-physiological sensors and ambient light. In: Lamas, D., Loizides, F., Nacke, L., Petrie, H., Winckler, M., Zaphiris, P. (eds.) INTERACT 2019. LNCS, vol. 11746, pp. 721\u2013742. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-29381-9_43"},{"key":"10_CR14","unstructured":"Horberry, T., et al.: Human-centered design for an in-vehicle truck driver fatigue and distraction warning system. IEEE Trans. Intell. Transp. Syst. PP, 1\u201310 (2021)"},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Jeon, M.: Emotions and affect in human factors and human-computer interaction: taxonomy, theories, approaches, and methods. Emotions and affect in human factors and human-computer interaction, pp. 3\u201326 (2017)","DOI":"10.1016\/B978-0-12-801851-4.00001-X"},{"issue":"5","key":"10_CR16","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1016\/j.trf.2012.05.004","volume":"15","author":"DB Kaber","year":"2012","unstructured":"Kaber, D.B., Liang, Y., Zhang, Y., Rogers, M.L., Gangakhedkar, S.: Driver performance effects of simultaneous visual and cognitive distraction and adaptation behavior. Transport. Res. F: Traffic Psychol. Behav. 15(5), 491\u2013501 (2012)","journal-title":"Transport. Res. F: Traffic Psychol. Behav."},{"issue":"6","key":"10_CR17","doi-asserted-by":"publisher","first-page":"4550","DOI":"10.1109\/TVT.2016.2631604","volume":"66","author":"A Koesdwiady","year":"2016","unstructured":"Koesdwiady, A., Soua, R., Karray, F., Kamel, M.S.: Recent trends in driver safety monitoring systems: state of the art and challenges. IEEE Trans. Veh. Technol. 66(6), 4550\u20134563 (2016)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10_CR18","first-page":"269","volume":"9","author":"J Koo","year":"2015","unstructured":"Koo, J., Kwac, J., Ju, W., Steinert, M., Leifer, L., Nass, C.: Why did my car just do that? explaining semi-autonomous driving actions to improve driver understanding, trust, and performance. Int. J. Inter. Design Manufact. (IJIDeM) 9, 269\u2013275 (2015)","journal-title":"Int. J. Inter. Design Manufact. (IJIDeM)"},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Manstetten, D., et al.: The evolution of driver monitoring systems: a shortened story on past, current and future approaches how cars acquire knowledge about the driver\u2019s state. In: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, pp. 1\u20136 (2020)","DOI":"10.1145\/3406324.3425896"},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Andruccioli, M., Mengozzi, M., Presta, R., Mirri, S., Girau, R.: Arousal effects on fitness-to-drive assessment: algorithms and experiments. In: 2023 IEEE 20th Annual Consumer Communications & Networking Conference (CCNC). IEEE (2023)","DOI":"10.1109\/CCNC51644.2023.10060261"},{"key":"10_CR21","doi-asserted-by":"crossref","unstructured":"Meck, A.M., Precht, L.: How to design the perfect prompt: a linguistic approach to prompt design in automotive voice assistants-an exploratory study. In: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 237\u2013246 (2021)","DOI":"10.1145\/3409118.3475144"},{"issue":"8","key":"10_CR22","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1037\/emo0000349","volume":"17","author":"M Neta","year":"2017","unstructured":"Neta, M., Cantelon, J., Haga, Z., Mahoney, C.R., Taylor, H.A., Davis, F.C.: The impact of uncertain threat on affective bias: Individual differences in response to ambiguity. Emotion 17(8), 1137 (2017)","journal-title":"Emotion"},{"key":"10_CR23","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/978-3-030-78645-8_34","volume-title":"HCI International 2021 - Posters","author":"M Oehl","year":"2021","unstructured":"Oehl, M., Lienhop, M., Ihme, K.: Mitigating frustration in the car: which emotion regulation strategies might work for different age groups? In: Stephanidis, C., Antona, M., Ntoa, S. (eds.) HCII 2021. CCIS, vol. 1421, pp. 273\u2013280. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-78645-8_34"},{"issue":"3","key":"10_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3196830","volume":"25","author":"C Pinder","year":"2018","unstructured":"Pinder, C., Vermeulen, J., Cowan, B.R., Beale, R.: Digital behaviour change interventions to break and form habits. ACM Trans. Comput.-Human Inter. (TOCHI) 25(3), 1\u201366 (2018)","journal-title":"ACM Trans. Comput.-Human Inter. (TOCHI)"},{"key":"10_CR25","unstructured":"Presta, R., Chiesa, S., Tancredi, C.: Driver monitoring systems to increase road safety. Human Body Interaction, p. 247 (2022)"},{"key":"10_CR26","doi-asserted-by":"crossref","unstructured":"Presta, R., De Simone, F., Mancuso, L., Chiesa, S., Montanari, R.: Would i consent if it monitors me better? a technology acceptance comparison of bci-based and unobtrusive driver monitoring systems. In: 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 545\u2013550. IEEE (2022)","DOI":"10.1109\/MetroXRAINE54828.2022.9967620"},{"key":"10_CR27","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1016\/j.aap.2018.08.028","volume":"121","author":"MM Rahman","year":"2018","unstructured":"Rahman, M.M., Strawderman, L., Lesch, M.F., Horrey, W.J., Babski-Reeves, K., Garrison, T.: Modelling driver acceptance of driver support systems. Accident Anal. Preven.ion 121, 134\u2013147 (2018)","journal-title":"Accident Anal. Preven.ion"},{"issue":"6","key":"10_CR28","doi-asserted-by":"publisher","first-page":"1161","DOI":"10.1037\/h0077714","volume":"39","author":"JA Russell","year":"1980","unstructured":"Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39(6), 1161 (1980)","journal-title":"J. Pers. Soc. Psychol."},{"issue":"6","key":"10_CR29","first-page":"103","volume":"4","author":"M Schrepp","year":"2017","unstructured":"Schrepp, M., Hinderks, A., Thomaschewski, J.: Design and evaluation of a short version of the user experience questionnaire (ueq-s). Int. J. Inter. Multimedia Artif. Intell. 4(6), 103\u2013108 (2017)","journal-title":"Int. J. Inter. Multimedia Artif. Intell."},{"issue":"1","key":"10_CR30","doi-asserted-by":"publisher","first-page":"2","DOI":"10.3390\/jsan4010002","volume":"4","author":"M Swan","year":"2015","unstructured":"Swan, M.: Connected car: quantified self becomes quantified car. J. Sens. Actuator Netw. 4(1), 2\u201329 (2015)","journal-title":"J. Sens. Actuator Netw."},{"issue":"4","key":"10_CR31","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1177\/0963721420920592","volume":"29","author":"G Wadley","year":"2020","unstructured":"Wadley, G., Smith, W., Koval, P., Gross, J.J.: Digital emotion regulation. Curr. Dir. Psychol. Sci. 29(4), 412\u2013418 (2020)","journal-title":"Curr. Dir. Psychol. Sci."},{"issue":"3","key":"10_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3388790","volume":"53","author":"S Zepf","year":"2020","unstructured":"Zepf, S., Hernandez, J., Schmitt, A., Minker, W., Picard, R.W.: Driver emotion recognition for intelligent vehicles: a survey. ACM Comput. Surv. (CSUR) 53(3), 1\u201330 (2020)","journal-title":"ACM Comput. Surv. (CSUR)"}],"container-title":["Lecture Notes in Computer Science","HCI in Mobility, Transport, and Automotive Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35678-0_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T15:23:33Z","timestamp":1710343413000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35678-0_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031356773","9783031356780"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35678-0_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"9 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7472","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1578","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"396","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}