{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T08:00:39Z","timestamp":1769155239745,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,11]],"date-time":"2023-07-11T00:00:00Z","timestamp":1689033600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"UKRI","award":["EP\/V00784X\/1,EP\/V026801\/2"],"award-info":[{"award-number":["EP\/V00784X\/1,EP\/V026801\/2"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,11]]},"DOI":"10.1145\/3597512.3599703","type":"proceedings-article","created":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T22:21:30Z","timestamp":1688595690000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Stay Stress-Free with Complete Confidence: Trustworthiness of Autonomous Stress Detection Systems for Smart Devices"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6314-3725","authenticated-orcid":false,"given":"H\u00e9ctor","family":"Men\u00e9ndez","sequence":"first","affiliation":[{"name":"King's College London, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2826-3286","authenticated-orcid":false,"given":"Gema","family":"Bello Orgaz","sequence":"additional","affiliation":[{"name":"Universidad Polit\u00e9cnica de Madrid, Spain"}]}],"member":"320","published-online":{"date-parts":[[2023,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Caught in the moment: Are there person-specific associations between momentary procrastination and passively logged smartphone use?","author":"Aalbers George","year":"2021","unstructured":"George Aalbers, Mariek\u00a0Vanden Abeele, Andrew\u00a0T Hendrickson, Lieven De\u00a0Marez, and Loes Keijsers. 2021. Caught in the moment: Are there person-specific associations between momentary procrastination and passively logged smartphone use? (2021)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MECO.2016.7525765"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-010-5188-5"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.smhl.2018.07.005"},{"key":"e_1_3_2_1_5_1","volume-title":"Carlos Soares, and Joaquin Vanschoren.","author":"Brazdil Pavel","year":"2022","unstructured":"Pavel Brazdil, Jan N\u00a0van Rijn, Carlos Soares, and Joaquin Vanschoren. 2022. Metalearning for Hyperparameter Optimization. In Metalearning. Springer, 103\u2013122."},{"key":"e_1_3_2_1_6_1","first-page":"704","article-title":"14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: comparison with the PHQ-9 depression screening","volume":"10","author":"Burchert Sebastian","year":"2019","unstructured":"Sebastian Burchert, Andr\u00e9 Kerber, Johannes Zimmermann, and Christine Knaevelsrud. 2019. 14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: comparison with the PHQ-9 depression screening. Frontiers in Psychology 10 (2019), 704.","journal-title":"Frontiers in Psychology"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/s19081849"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2016.2592504"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3204949.3208125"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2021.06.062"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21103461"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS49503.2020.00064"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2663204.2663257"},{"key":"e_1_3_2_1_15_1","volume-title":"Integrating Artificial Intelligence and IoT for Advanced Health Informatics","author":"Kolenik Tine","unstructured":"Tine Kolenik. 2022. Methods in digital mental health: smartphone-based assessment and intervention for stress, anxiety, and depression. In Integrating Artificial Intelligence and IoT for Advanced Health Informatics. Springer, 105\u2013128."},{"key":"e_1_3_2_1_16_1","volume-title":"Discovering knowledge in data: an introduction to data mining. Vol.\u00a04","author":"Larose T","unstructured":"Daniel\u00a0T Larose and Chantal\u00a0D Larose. 2014. Discovering knowledge in data: an introduction to data mining. Vol.\u00a04. John Wiley & Sons."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3457607"},{"key":"e_1_3_2_1_18_1","volume-title":"IEEE 34rd International Conference on Tools with Artificial Intelligence (ICTAI).","author":"Menendez Hector","year":"2022","unstructured":"Hector Menendez. 2022. Measuring Machine Learning Robustness in front of Static and Dynamic Adversaries. In Measuring Machine Learning Robustness in front of Static and Dynamic Adversaries. IEEE 34rd International Conference on Tools with Artificial Intelligence (ICTAI)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/51.932728"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20051396"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.542934"},{"key":"e_1_3_2_1_22_1","volume-title":"Ubfc-phys: A multimodal database for psychophysiological studies of social stress","author":"Sabour Rita\u00a0Meziati","year":"2021","unstructured":"Rita\u00a0Meziati Sabour, Yannick Benezeth, Pierre De\u00a0Oliveira, Julien Chappe, and Fan Yang. 2021. Ubfc-phys: A multimodal database for psychophysiological studies of social stress. IEEE Transactions on Affective Computing (2021)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.9410"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3242969.3242985"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3419633"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.2196\/18253"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-017-1108-z"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2632048.2632054"}],"event":{"name":"TAS '23: First International Symposium on Trustworthy Autonomous Systems","location":"Edinburgh United Kingdom","acronym":"TAS '23"},"container-title":["Proceedings of the First International Symposium on Trustworthy Autonomous Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3597512.3599703","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3597512.3599703","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T22:50:12Z","timestamp":1750287012000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3597512.3599703"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,11]]},"references-count":28,"alternative-id":["10.1145\/3597512.3599703","10.1145\/3597512"],"URL":"https:\/\/doi.org\/10.1145\/3597512.3599703","relation":{},"subject":[],"published":{"date-parts":[[2023,7,11]]},"assertion":[{"value":"2023-07-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}