{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T03:49:40Z","timestamp":1776052180514,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3772363.3778794","type":"proceedings-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T01:55:24Z","timestamp":1776045324000},"page":"1-3","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["PhysioCHI: Lessons Learned from Implementing Human-Centered Physiological Computing"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6952-2340","authenticated-orcid":false,"given":"Kathrin","family":"Schnizer","sequence":"first","affiliation":[{"name":"LMU Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4263-2510","authenticated-orcid":false,"given":"Teodora","family":"Mitrevska","sequence":"additional","affiliation":[{"name":"LMU Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7831-2632","authenticated-orcid":false,"given":"Benjamin","family":"Tag","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, University of New South Wales, Sydney, New South Wales, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9954-4088","authenticated-orcid":false,"given":"Abdallah","family":"El Ali","sequence":"additional","affiliation":[{"name":"Centrum Wiskunde &amp; Informatica (CWI), Amsterdam, Netherlands and Utrecht University, Utrecht, Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5462-8782","authenticated-orcid":false,"given":"Sven","family":"Mayer","sequence":"additional","affiliation":[{"name":"TU Dortmund University, Dortmund, Germany and Research Center Trustworthy Data Science and Security, Dortmund, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,13]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445370"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/VR51125.2022.00024"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","unstructured":"Francesco Chiossi Thomas Kosch Luca Menghini Steeven Villa and Sven Mayer. 2023. SensCon: Embedding Physiological Sensing into Virtual Reality Controllers. Proc. ACM Hum.-Comput. Interact. 7 MHCI Article 223 (Sept. 2023) 32\u00a0pages. 10.1145\/3604270","DOI":"10.1145\/3604270"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"crossref","unstructured":"Francesco Chiossi Changkun Ou Carolina Gerhardt Felix Putze and Sven Mayer. 2025. Designing and evaluating an adaptive virtual reality system using eeg frequencies to balance internal and external attention states. International Journal of Human-Computer Studies 196 (2025) 103433.","DOI":"10.1016\/j.ijhcs.2024.103433"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/3656650.3656657"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613905.3636286"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","unstructured":"Francesco Chiossi Ines Trautmannsheimer Changkun Ou Uwe Gruenefeld and Sven Mayer. 2024. Searching Across Realities: Investigating ERPs and Eye-Tracking Correlates of Visual Search in Mixed Reality. IEEE Transactions on Visualization and Computer Graphics 30 11 (2024) 6997\u20137007. 10.1109\/TVCG.2024.3456172","DOI":"10.1109\/TVCG.2024.3456172"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","unstructured":"Francesco Chiossi Yagiz Turgut Robin Welsch and Sven Mayer. 2023. Adapting Visual Complexity Based on Electrodermal Activity Improves Working Memory Performance in Virtual Reality. Proc. ACM Hum.-Comput. Interact. 7 MHCI Article 196 (sep 2023) 26\u00a0pages. 10.1145\/3604243","DOI":"10.1145\/3604243"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","unstructured":"Francesco Chiossi Johannes Zagermann Jakob Karolus Nils Rodrigues Priscilla Balestrucci Daniel Weiskopf Benedikt Ehinger Tiare Feuchtner Harald Reiterer Lewis\u00a0L Chuang et\u00a0al. 2022. Adapting visualizations and interfaces to the user. it-Information Technology 64 4-5 (2022) 133\u2013143. 10.1515\/itit-2022-0035","DOI":"10.1515\/itit-2022-0035"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"crossref","unstructured":"Olaf Dimigen and Benedikt\u00a0V Ehinger. 2021. Regression-based analysis of combined EEG and eye-tracking data: Theory and applications. Journal of vision 21 1 (2021) 3\u20133.","DOI":"10.1167\/jov.21.1.3"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","unstructured":"Abdallah El\u00a0Ali Rayna Ney Zeph\u00a0MC van Barlow and Pablo Cesar. 2023. Is That My Heartbeat? Measuring and Understanding Modality-Dependent Cardiac Interoception in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics 29 11 (2023) 4805\u20134815. 10.1109\/TVCG.2023.3320228","DOI":"10.1109\/TVCG.2023.3320228"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","unstructured":"Thomas Kosch Jakob Karolus Johannes Zagermann Harald Reiterer Albrecht Schmidt and Pawe\u0142\u00a0W. Wo\u017aniak. 2023. A Survey on Measuring Cognitive Workload in Human-Computer Interaction. Comput. Surveys 55 13s (1 2023) 1\u201339. 10.1145\/3582272","DOI":"10.1145\/3582272"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","unstructured":"Yi Li Benjamin Tag Shaozhang Dai Robert Crowther Tim Dwyer Pourang Irani and Barrett Ens. 2024. NICER: A New and Improved Consumed Endurance and Recovery Metric to Quantify Muscle Fatigue of Mid-Air Interactions. ACM Trans. Graph. 43 4 Article 102 (July 2024) 14\u00a0pages. 10.1145\/3658230","DOI":"10.1145\/3658230"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706599.3719907"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517495"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","unstructured":"Felix Putze Susanne Putze Merle Sagehorn Christopher Micek and Erin\u00a0T Solovey. 2022. Understanding hci practices and challenges of experiment reporting with brain signals: Towards reproducibility and reuse. ACM Transactions on Computer-Human Interaction (TOCHI) 29 4 (2022) 1\u201343. 10.1145\/3490554","DOI":"10.1145\/3490554"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","unstructured":"Albrecht Schmidt. 2016. Biosignals in human-computer interaction. Interactions 23 1 (Dec. 2016) 76\u201379. 10.1145\/2851072","DOI":"10.1145\/2851072"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","unstructured":"Kathrin Schnizer and Sven Mayer. 2025. User-Centered AI for Data Exploration: Rethinking GenAI\u2019s Role in Visualization. 10.48550\/arXiv.2504.04253 arxiv:https:\/\/arXiv.org\/abs\/2504.04253\u00a0[cs.HC]","DOI":"10.48550\/arXiv.2504.04253"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","unstructured":"Lin Shu Jinyan Xie Mingyue Yang Ziyi Li Zhenqi Li Dan Liao Xiangmin Xu and Xinyi Yang. 2018. A review of emotion recognition using physiological signals. Sensors 18 7 (2018) 2074. 10.3390\/s18072074","DOI":"10.3390\/s18072074"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3701571.3701609"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300694"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","unstructured":"Tong Xue Abdallah\u00a0El Ali Tianyi Zhang Gangyi Ding and Pablo Cesar. 2023. CEAP-360VR: A Continuous Physiological and Behavioral Emotion Annotation Dataset for 360\u00b0 VR Videos. IEEE Transactions on Multimedia 25 (2023) 243\u2013255. 10.1109\/TMM.2021.3124080","DOI":"10.1109\/TMM.2021.3124080"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/3512527.3531385"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","unstructured":"Bin Yu Mathias Funk Jun Hu Qi Wang and Loe Feijs. 2018. Biofeedback for everyday stress management: A systematic review. Frontiers in ICT 5 (2018) 23. 10.3389\/fict.2018.00023","DOI":"10.3389\/fict.2018.00023"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"publisher","unstructured":"Tianyi Zhang Abdallah El\u00a0Ali Chen Wang Alan Hanjalic and Pablo Cesar. 2023. Weakly-Supervised Learning for Fine-Grained Emotion Recognition Using Physiological Signals. IEEE Transactions on Affective Computing 14 3 (2023) 2304\u20132322. 10.1109\/TAFFC.2022.3158234","DOI":"10.1109\/TAFFC.2022.3158234"}],"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\/3772363.3778794","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T03:24:39Z","timestamp":1776050679000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3772363.3778794"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,13]]},"references-count":25,"alternative-id":["10.1145\/3772363.3778794","10.1145\/3772363"],"URL":"https:\/\/doi.org\/10.1145\/3772363.3778794","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"}}]}}