{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T03:46:49Z","timestamp":1776052009683,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3772363.3798393","type":"proceedings-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T01:55:24Z","timestamp":1776045324000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["See What I See: An Attention-Guiding eHMI Approach for Autonomous Vehicles"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4327-1807","authenticated-orcid":false,"given":"Jialong","family":"Li","sequence":"first","affiliation":[{"name":"Waseda university, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0543-7664","authenticated-orcid":false,"given":"Zhenyu","family":"Mao","sequence":"additional","affiliation":[{"name":"Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7282-5652","authenticated-orcid":false,"given":"Zhiyao","family":"Wang","sequence":"additional","affiliation":[{"name":"Graduate School of Information Science and Technology, The University of Osaka, Suita, Osaka, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6749-5480","authenticated-orcid":false,"given":"Yijun","family":"Lu","sequence":"additional","affiliation":[{"name":"Waseda University, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6039-8275","authenticated-orcid":false,"given":"Shogo","family":"Morita","sequence":"additional","affiliation":[{"name":"Institute of Science Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8960-7770","authenticated-orcid":false,"given":"Nianyu","family":"Li","sequence":"additional","affiliation":[{"name":"ZGC Laboratory, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1106-1709","authenticated-orcid":false,"given":"Kenji","family":"Tei","sequence":"additional","affiliation":[{"name":"Waseda University, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,13]]},"reference":[{"key":"e_1_3_3_2_2_2","unstructured":"Audi AG. n. d.. Audi A6 e-tron concept. https:\/\/www.audi.com\/en\/innovation\/product-innovation\/design\/Audi-A6-e-tron-concept.html Accessed: 2025-12-14."},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-78645-8_27"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","unstructured":"Pavlo Bazilinskyy Dimitra Dodou and Joost de Winter. 2019. Survey on eHMI concepts: The effect of text color and perspective. Transportation Research Part F: Traffic Psychology and Behaviour 67 (2019) 175\u2013194. 10.1016\/j.trf.2019.10.013","DOI":"10.1016\/j.trf.2019.10.013"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","unstructured":"Juan Carmona Carlos Guindel Fernando Garcia and Arturo de\u00a0la Escalera. 2021. eHMI: Review and Guidelines for Deployment on Autonomous Vehicles. Sensors 21 9 (2021). 10.3390\/s21092912","DOI":"10.3390\/s21092912"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"publisher","unstructured":"Koen de Clercq Andre Dietrich Juan\u00a0Pablo N\u00fa\u00f1ez\u00a0Velasco Joost de Winter and Riender Happee. 2019. External Human-Machine Interfaces on Automated Vehicles: Effects on Pedestrian Crossing Decisions. Human Factors 61 8 (dec 2019) 1353\u20131370. 10.1177\/0018720819836343","DOI":"10.1177\/0018720819836343"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","unstructured":"Stavroula\u00a0Panagiota Deligianni Mohammed Quddus Andrew Morris Aaron Anvuur and Steven Reed. 2017. Analyzing and Modeling Drivers\u2019 Deceleration Behavior from Normal Driving. Transportation Research Record 2663 1 (2017) 134\u2013141. 10.3141\/2663-17","DOI":"10.3141\/2663-17"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642031"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","unstructured":"Daniel Eisele and Tibor Petzoldt. 2022. Effects of traffic context on eHMI icon comprehension. Transportation Research Part F: Traffic Psychology and Behaviour 85 (2022) 1\u201312. 10.1016\/j.trf.2021.12.014","DOI":"10.1016\/j.trf.2021.12.014"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","unstructured":"Daniel\u00a0J. Fagnant and Kara Kockelman. 2015. Preparing a nation for autonomous vehicles: opportunities barriers and policy recommendations. Transportation Research Part A: Policy and Practice 77 (2015) 167\u2013181. 10.1016\/j.tra.2015.04.003","DOI":"10.1016\/j.tra.2015.04.003"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3640792.3675716"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/3543174.3545251"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","unstructured":"Jiawen Guo Quan Yuan Jingrui Yu Xizheng Chen Wenlin Yu Qian Cheng Wuhong Wang Wenhui Luo and Xiaobei Jiang. 2022. External Human\u2013Machine Interfaces for Autonomous Vehicles from Pedestrians\u2019 Perspective: A Survey Study. Sensors 22 9 (2022). 10.3390\/s22093339","DOI":"10.3390\/s22093339"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-4115(08)62386-9"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICA54137.2021.00015"},{"key":"e_1_3_3_2_16_2","unstructured":"Going Long. 2023. How to Improve Nighttime Bus Passenger Safety? Smart Night Projection Lamp. http:\/\/www.goinglong.cn\/guolangdongtai\/ruhetishenggongjiao Accessed: 2025-12-14."},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3342197.3344543"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3568162.3576979"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","unstructured":"Amir Rasouli and John\u00a0K. Tsotsos. 2020. Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice. IEEE Transactions on Intelligent Transportation Systems 21 3 (2020) 900\u2013918. 10.1109\/TITS.2019.2901817","DOI":"10.1109\/TITS.2019.2901817"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","unstructured":"Ana Rodr\u00edguez Palmeiro Sander van der Kint Luuk Vissers Haneen Farah Joost\u00a0C.F. de Winter and Marjan Hagenzieker. 2018. Interaction between pedestrians and automated vehicles: A Wizard of Oz experiment. Transportation Research Part F: Traffic Psychology and Behaviour 58 (2018) 1005\u20131020. 10.1016\/j.trf.2018.07.020","DOI":"10.1016\/j.trf.2018.07.020"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3750069.3750110"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","unstructured":"Junjie Shen Yiwen Chen and Hideyuki Sawada. 2022. A Wearable Assistive Device for Blind Pedestrians Using Real-Time Object Detection and Tactile Presentation. Sensors 22 12 (2022). 10.3390\/s22124537","DOI":"10.3390\/s22124537"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/SSLChinaIFWS57942.2023.10071038"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"publisher","unstructured":"Ricardo Tachiquin Ramiro Vel\u00e1zquez Carolina Del-Valle-Soto Carlos\u00a0A. Guti\u00e9rrez Miguel Carrasco Roberto De\u00a0Fazio Andr\u00e9s Trujillo-Le\u00f3n Paolo Visconti and Fernando Vidal-Verd\u00fa. 2021. Wearable Urban Mobility Assistive Device for Visually Impaired Pedestrians Using a Smartphone and a Tactile-Foot Interface. Sensors 21 16 (2021). 10.3390\/s21165274","DOI":"10.3390\/s21165274"},{"key":"e_1_3_3_2_25_2","unstructured":"Haotian Wu. 2024. BYD Xia Interior Technology Global Debut Launching in the First Quarter of Next Year. https:\/\/www.bitauto.com\/en-hk\/news\/100196512854.html. Accessed: 2025-12-21."},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613905.3650852"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","unstructured":"Nianzhao Zheng Jialong Li Yan Zhang and Kenji Tei. 2025. Exploring the Impact of eHMI Display Location and Vehicle Type on Pedestrian Perceptions: A VR User Study. IEEE Access 13 (2025) 4947\u20134956. 10.1109\/ACCESS.2025.3526172","DOI":"10.1109\/ACCESS.2025.3526172"}],"event":{"name":"CHI EA '26: Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","location":"Barcelona , Spain","acronym":"CHI EA '26","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3772363.3798393","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T03:14:38Z","timestamp":1776050078000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3772363.3798393"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,13]]},"references-count":26,"alternative-id":["10.1145\/3772363.3798393","10.1145\/3772363"],"URL":"https:\/\/doi.org\/10.1145\/3772363.3798393","relation":{},"subject":[],"published":{"date-parts":[[2026,4,13]]},"assertion":[{"value":"2026-04-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}