{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T16:07:44Z","timestamp":1784736464909,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":112,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T00:00:00Z","timestamp":1742774400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-sa\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,3,24]]},"DOI":"10.1145\/3708359.3712139","type":"proceedings-article","created":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T12:50:34Z","timestamp":1742388634000},"page":"1581-1597","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Will Health Experts Adopt a Clinical Decision Support System for Game-Based Digital Biomarkers? Investigating the Impact of Different Explanations on Perceived Ease-of-Use, Perceived Usefulness, and Trust"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6021-2326","authenticated-orcid":false,"given":"Yu","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Computer Sciences, KU Leuven, Leuven, Belgium,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6699-7710","authenticated-orcid":false,"given":"Katrien","family":"Verbert","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, KU Leuven, Leuven, Belgium,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8449-6124","authenticated-orcid":false,"given":"Kathrin","family":"Gerling","sequence":"additional","affiliation":[{"name":"Human-Computer Interaction and Accessibility, Karlsruhe Institute of Technology, Karlsruhe, Germany,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0509-7414","authenticated-orcid":false,"given":"Marie-Elena","family":"Vanden Abeele","sequence":"additional","affiliation":[{"name":"Department of Geriatrics, Jessa Hospital, Hasselt, Belgium,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3031-9579","authenticated-orcid":false,"given":"Vero","family":"Vanden Abeele","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, KU Leuven, Leuven, Belgium,"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,3,24]]},"reference":[{"key":"e_1_3_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3174156"},{"key":"e_1_3_3_3_3_2","doi-asserted-by":"publisher","unstructured":"Amina Adadi and Mohammed Berrada. 2018. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI). IEEE Access 6 (2018) 52138\u201352160. 10.1109\/ACCESS.2018.2870052","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"e_1_3_3_3_4_2","doi-asserted-by":"publisher","unstructured":"Muhammad Afzaal Jalal Nouri Aayesha Zia Panagiotis Papapetrou Uno Fors Yongchao Wu Xiu Li and Rebecka Weegar. 2021. Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation. Frontiers in Artificial Intelligence 4 (Nov. 2021) 723447. 10.3389\/frai.2021.723447","DOI":"10.3389\/frai.2021.723447"},{"key":"e_1_3_3_3_5_2","volume-title":"IEEE VisWeek workshop on visual analytics in healthcare","author":"Aigner Wolfgang","year":"2012","unstructured":"Wolfgang Aigner, Paolo Federico, Theresia Gschwandtner, Silvia Miksch, and Alexander Rind. 2012. Challenges of time-oriented data in visual analytics for healthcare. In IEEE VisWeek workshop on visual analytics in healthcare , Vol.\u00a04. Citeseer, Seattle, WA, USA, 4\u00a0pages. https:\/\/citeseerx.ist.psu.edu\/document?repid=rep1&type=pdf&doi=5b609326557c715d9a195c9a630ef9ad80acff1c"},{"key":"e_1_3_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP45357.2019.8969123"},{"key":"e_1_3_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.21203\/rs.3.rs-136185\/v1"},{"key":"e_1_3_3_3_8_2","doi-asserted-by":"publisher","unstructured":"J.\u00a0A. Anguera J. Boccanfuso J.\u00a0L. Rintoul O. Al-Hashimi F. Faraji J. Janowich E. Kong Y. Larraburo C. Rolle E. Johnston and A. Gazzaley. 2013. Video game training enhances cognitive control in older adults. Nature 501 7465 (Sept. 2013) 97\u2013101. 10.1038\/nature12486Number: 7465 Publisher: Nature Publishing Group.","DOI":"10.1038\/nature12486"},{"key":"e_1_3_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445736"},{"key":"e_1_3_3_3_10_2","doi-asserted-by":"publisher","unstructured":"Jeffrey\u00a0K. Aronson and Robin\u00a0E. Ferner. 2017. Biomarkers\u2014A General Review. Current Protocols in Pharmacology 76 1 (March 2017) 17\u00a0pages. 10.1002\/cpph.19","DOI":"10.1002\/cpph.19"},{"key":"e_1_3_3_3_11_2","doi-asserted-by":"publisher","unstructured":"Sander\u00a0C.J. Bakkes Pieter\u00a0H.M. Spronck and Giel Van\u00a0Lankveld. 2012. Player behavioural modelling for video games. Entertainment Computing 3 3 (Aug. 2012) 71\u201379. 10.1016\/j.entcom.2011.12.001","DOI":"10.1016\/j.entcom.2011.12.001"},{"key":"e_1_3_3_3_12_2","doi-asserted-by":"publisher","unstructured":"H. Baumeister L. Nowoczin J. Lin H. Seifferth J. Seufert K. Laubner and D.\u00a0D. Ebert. 2014. Impact of an acceptance facilitating intervention on diabetes patients\u2019 acceptance of Internet-based interventions for depression: A randomized controlled trial. Diabetes Research and Clinical Practice 105 1 (July 2014) 30\u201339. 10.1016\/j.diabres.2014.04.031","DOI":"10.1016\/j.diabres.2014.04.031"},{"key":"e_1_3_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1101\/2023.07.23.23292962"},{"key":"e_1_3_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3461702.3462571"},{"key":"e_1_3_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584075"},{"key":"e_1_3_3_3_16_2","doi-asserted-by":"publisher","unstructured":"Marina Boccardi Andreas\u00a0U. Monsch Clarissa Ferrari Daniele Altomare Manfred Berres Isabelle Bos Andreas Buchmann Chiara Cerami Mira Didic Cristina Festari Valentina Nicolosi Leonardo Sacco Liesbeth Aerts Emiliano Albanese Jean\u2010Marie Annoni Nicola Ballhausen Christian Chicherio Jean\u2010Fran\u00e7ois D\u00e9monet Virginie Descloux Suzie Diener Daniel Ferreira Jean Georges Anton Gietl Nicola Girtler Ingo Kilimann Stefan Kl\u00f6ppel Nicole Kustyniuk Patrizia Mecocci Nathalie Mella Martina Pigliautile Katrin Seeher Steven\u00a0D. Shirk Alessio Toraldo Andrea Brioschi\u2010Guevara Kwun C.\u00a0G. Chan Paul\u00a0K. Crane Alessandra Dodich Alice Grazia Nicole\u00a0A Kochan Fabricio\u00a0Ferreira Oliveira Flavio Nobili Walter Kukull Oliver Peters Inez Ramakers Perminder\u00a0S. Sachdev Stefan Teipel Pieter\u00a0Jelle Visser Michael Wagner Sandra Weintraub Eric Westman Lutz Froelich Henry Brodaty Bruno Dubois Stefano\u00a0F. Cappa David Salmon Bengt Winblad Giovanni\u00a0B. Frisoni Matthias Kliegel and the Consortium for the Harmonization of Neuropsychological Assessment for Neurocognitive Disorders (https:\/\/nextcloud.dzne.de\/index.php\/s\/EwXjLab9caQTbQe). 2022. Harmonizing neuropsychological assessment for mild neurocognitive disorders in Europe. Alzheimer\u2019s & Dementia 18 1 (Jan. 2022) 29\u201342. 10.1002\/alz.12365","DOI":"10.1002\/alz.12365"},{"key":"e_1_3_3_3_17_2","doi-asserted-by":"publisher","unstructured":"Lera Boroditsky. 2007. Comparison and the development of knowledge. Cognition 102 1 (Jan. 2007) 118\u2013128. 10.1016\/j.cognition.2002.08.001","DOI":"10.1016\/j.cognition.2002.08.001"},{"key":"e_1_3_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3490099.3511139"},{"key":"e_1_3_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584082"},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"publisher","unstructured":"David Buenestado Javier Elorz Eduardo\u00a0G. P\u00e9rez-Yarza Ander Iruetaguena Unai Segundo Ra\u00fal Barrena and Juan\u00a0M. Pikatza. 2013. Evaluating Acceptance and User Experience of a Guideline-based Clinical Decision Support System Execution Platform. Journal of Medical Systems 37 2 (April 2013) 9910. 10.1007\/s10916-012-9910-7","DOI":"10.1007\/s10916-012-9910-7"},{"key":"e_1_3_3_3_21_2","doi-asserted-by":"publisher","unstructured":"Federico Cabitza Andrea Campagner Luca Ronzio Matteo Cameli Giulia\u00a0Elena Mandoli Maria\u00a0Concetta Pastore Luca\u00a0Maria Sconfienza Duarte Folgado Mar\u00edlia Barandas and Hugo Gamboa. 2023. Rams hounds and white boxes: Investigating human\u2013AI collaboration protocols in medical diagnosis. Artificial Intelligence in Medicine 138 (April 2023) 102506. 10.1016\/j.artmed.2023.102506","DOI":"10.1016\/j.artmed.2023.102506"},{"key":"e_1_3_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584080"},{"key":"e_1_3_3_3_23_2","doi-asserted-by":"publisher","unstructured":"Silvia Cavedoni Alice Chirico Elisa Pedroli Pietro Cipresso and Giuseppe Riva. 2020. Digital Biomarkers for the Early Detection of Mild Cognitive Impairment: Artificial Intelligence Meets Virtual Reality. Frontiers in Human Neuroscience 14 (July 2020) 245. 10.3389\/fnhum.2020.00245","DOI":"10.3389\/fnhum.2020.00245"},{"key":"e_1_3_3_3_24_2","doi-asserted-by":"publisher","DOI":"10.1037\/13620-000"},{"key":"e_1_3_3_3_25_2","doi-asserted-by":"publisher","unstructured":"Ellen\u00a0Elisa De\u00a0Roeck Peter\u00a0Paul De\u00a0Deyn Eva Dierckx and Sebastiaan Engelborghs. 2019. Brief cognitive screening instruments for early detection of Alzheimer\u2019s disease: a systematic review. Alzheimer\u2019s Research & Therapy 11 1 (Dec. 2019) 21. 10.1186\/s13195-019-0474-3","DOI":"10.1186\/s13195-019-0474-3"},{"key":"e_1_3_3_3_26_2","first-page":"269","volume-title":"ICT4AWE","author":"D\u2019haeseleer Ine","year":"2020","unstructured":"Ine D\u2019haeseleer, Dries Oeyen, Bart Vanrumste, Dominique Schreurs, and Vero\u00a0Vanden Abeele. 2020. The Unacceptance of a Self-Management Health System by Healthy Older Adults.. In ICT4AWE. Springer, Prague, Czech Republic, 269\u2013280. https:\/\/pdfs.semanticscholar.org\/b82f\/305445e7a01039b5db78bc4b65891a92f567.pdf"},{"key":"e_1_3_3_3_27_2","doi-asserted-by":"publisher","unstructured":"Anja Dillenseger Marie\u00a0Luise Weidemann Katrin Trentzsch Hernan Inojosa Rocco Haase Dirk Schriefer Isabel Voigt Maria Scholz Katja Akg\u00fcn and Tjalf Ziemssen. 2021. Digital Biomarkers in Multiple Sclerosis. Brain Sciences 11 11 (Nov. 2021) 1519. 10.3390\/brainsci11111519","DOI":"10.3390\/brainsci11111519"},{"key":"e_1_3_3_3_28_2","doi-asserted-by":"publisher","unstructured":"James\u00a0D. Doecke. 2012. Blood-Based Protein Biomarkers for Diagnosis of Alzheimer Disease. Archives of Neurology 69 10 (Oct. 2012) 1318. 10.1001\/archneurol.2012.1282","DOI":"10.1001\/archneurol.2012.1282"},{"key":"e_1_3_3_3_29_2","doi-asserted-by":"publisher","unstructured":"E.\u00a0Ray Dorsey Spyros Papapetropoulos Mulin Xiong and Karl Kieburtz. 2017. The First Frontier: Digital Biomarkers for Neurodegenerative Disorders. Digital Biomarkers 1 1 (July 2017) 6\u201313. 10.1159\/000477383","DOI":"10.1159\/000477383"},{"key":"e_1_3_3_3_30_2","doi-asserted-by":"publisher","unstructured":"Murna Downs Stephen Turner Michelle Bryans Jane Wilcock John Keady Enid Levin Ronan O\u2019Carroll Kate Howie and Steve Iliffe. 2006. Effectiveness of educational interventions in improving detection and management of dementia in primary care: cluster randomised controlled study. BMJ 332 7543 (March 2006) 692\u2013696. 10.1136\/bmj.332.7543.692","DOI":"10.1136\/bmj.332.7543.692"},{"key":"e_1_3_3_3_31_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4769-5_2"},{"key":"e_1_3_3_3_32_2","doi-asserted-by":"publisher","unstructured":"D.\u00a0D. Ebert M. Berking P. Cuijpers D. Lehr M. P\u00f6rtner and H. Baumeister. 2015. Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial. Journal of Affective Disorders 176 (May 2015) 9\u201317. 10.1016\/j.jad.2015.01.056","DOI":"10.1016\/j.jad.2015.01.056"},{"key":"e_1_3_3_3_33_2","doi-asserted-by":"publisher","unstructured":"Emily\u00a0C. Edmonds Carrie\u00a0R. McDonald Anisa Marshall Kelsey\u00a0R. Thomas Joel Eppig Alexandra\u00a0J. Weigand Lisa Delano\u2010Wood Douglas\u00a0R. Galasko David\u00a0P. Salmon Mark\u00a0W. Bondi and Alzheimer\u2019s Disease Neuroimaging Initiative. 2019. Early versus late MCI: Improved MCI staging using a neuropsychological approach. Alzheimer\u2019s & Dementia 15 5 (May 2019) 699\u2013708. 10.1016\/j.jalz.2018.12.009","DOI":"10.1016\/j.jalz.2018.12.009"},{"key":"e_1_3_3_3_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445188"},{"key":"e_1_3_3_3_35_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-49760-6_4"},{"key":"e_1_3_3_3_36_2","doi-asserted-by":"publisher","unstructured":"Luis Garcia-Gancedo and Andrew Bate. 2022. Digital biomarkers for post-licensure safety monitoring. Drug Discovery Today 27 11 (Nov. 2022) 103354. 10.1016\/j.drudis.2022.103354","DOI":"10.1016\/j.drudis.2022.103354"},{"key":"e_1_3_3_3_37_2","doi-asserted-by":"publisher","unstructured":"K. Gielis M.-E. Vanden\u00a0Abeele R. de Croon P. Dierick F. Ferreira-Brito L. van Assche K. Verbert J. Tournoy and V.V. Abeele. 2021. Dissecting digital card games to yield digital biomarkers for the assessment of mild cognitive impairment: Methodological approach and exploratory study. JMIR Serious Games 9 4 (2021) 25\u00a0pages. 10.2196\/18359","DOI":"10.2196\/18359"},{"key":"e_1_3_3_3_38_2","doi-asserted-by":"publisher","unstructured":"Karsten Gielis Marie-Elena Vanden\u00a0Abeele Robin De\u00a0Croon Paul Dierick Filipa Ferreira-Brito Lies Van\u00a0Assche Katrien Verbert Jos Tournoy and Vero Vanden\u00a0Abeele. 2021. Dissecting Digital Card Games to Yield Digital Biomarkers for the Assessment of Mild Cognitive Impairment: Methodological Approach and Exploratory Study. JMIR Serious Games 9 4 (Nov. 2021) e18359. 10.2196\/18359","DOI":"10.2196\/18359"},{"key":"e_1_3_3_3_39_2","doi-asserted-by":"publisher","unstructured":"K. Gielis M.-E. Vanden\u00a0Abeele K. Verbert J. Tournoy M. De\u00a0Vos and V. Vanden\u00a0Abeele. 2021. Detecting Mild Cognitive Impairment via Digital Biomarkers of Cognitive Performance Found in Klondike Solitaire: A Machine-Learning Study. Digital Biomarkers 5 1 (2021) 44\u201352. 10.1159\/000514105","DOI":"10.1159\/000514105"},{"key":"e_1_3_3_3_40_2","doi-asserted-by":"publisher","unstructured":"Karsten Gielis Marie-Elena Vanden\u00a0Abeele Katrien Verbert Jos Tournoy Maarten De\u00a0Vos and Vero Vanden\u00a0Abeele. 2021. Detecting Mild Cognitive Impairment via Digital Biomarkers of Cognitive Performance Found in Klondike Solitaire: A Machine-Learning Study. Digital Biomarkers 5 1 (Feb. 2021) 44\u201352. 10.1159\/000514105","DOI":"10.1159\/000514105"},{"key":"e_1_3_3_3_41_2","doi-asserted-by":"publisher","unstructured":"Oscar Gomez Steffen Holter Jun Yuan and Enrico Bertini. 2020. ViCE: Visual Counterfactual Explanations for Machine Learning Models. 10.48550\/arXiv.2003.02428arXiv:https:\/\/arXiv.org\/abs\/2003.02428 [cs].","DOI":"10.48550\/arXiv.2003.02428"},{"key":"e_1_3_3_3_42_2","doi-asserted-by":"publisher","unstructured":"Bryce Goodman and Seth Flaxman. 2017. European Union Regulations on Algorithmic Decision-Making and a \u201cRight to Explanation\u201d. AI Magazine 38 3 (Oct. 2017) 50\u201357. 10.1609\/aimag.v38i3.2741Number: 3.","DOI":"10.1609\/aimag.v38i3.2741"},{"key":"e_1_3_3_3_43_2","doi-asserted-by":"publisher","unstructured":"David Gunning and David\u00a0W. Aha. 2019. DARPA\u2019s Explainable Artificial Intelligence Program. AI Magazine 40 2 (June 2019) 44\u201358. 10.1609\/aimag.v40i2.2850","DOI":"10.1609\/aimag.v40i2.2850"},{"key":"e_1_3_3_3_44_2","doi-asserted-by":"publisher","DOI":"10.1109\/TREX51495.2020.00006"},{"key":"e_1_3_3_3_45_2","doi-asserted-by":"publisher","unstructured":"N.\u00a0Lynn Henry and Daniel\u00a0F. Hayes. 2012. Cancer biomarkers. Molecular Oncology 6 2 (April 2012) 140\u2013146. 10.1016\/j.molonc.2012.01.010","DOI":"10.1016\/j.molonc.2012.01.010"},{"key":"e_1_3_3_3_46_2","doi-asserted-by":"publisher","unstructured":"Kevin\u00a0Anthony Hoff and Masooda Bashir. 2015. Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust. Human Factors: The Journal of the Human Factors and Ergonomics Society 57 3 (May 2015) 407\u2013434. 10.1177\/0018720814547570","DOI":"10.1177\/0018720814547570"},{"key":"e_1_3_3_3_47_2","doi-asserted-by":"publisher","unstructured":"Robert\u00a0R. Hoffman Shane\u00a0T. Mueller Gary Klein and Jordan Litman. 2019. Metrics for Explainable AI: Challenges and Prospects. 10.48550\/arXiv.1812.04608arXiv:https:\/\/arXiv.org\/abs\/1812.04608 [cs].","DOI":"10.48550\/arXiv.1812.04608"},{"key":"e_1_3_3_3_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/2856767.2856811"},{"key":"e_1_3_3_3_49_2","doi-asserted-by":"publisher","unstructured":"Baha Ihnaini M.\u00a0A. Khan Tahir\u00a0Abbas Khan Sagheer Abbas Mohammad\u00a0Sh Daoud Munir Ahmad and Muhammad\u00a0Adnan Khan. 2021. A Smart Healthcare Recommendation System for Multidisciplinary Diabetes Patients with Data Fusion Based on Deep Ensemble Learning. Computational Intelligence and Neuroscience 2021 (Sept. 2021) e4243700. 10.1155\/2021\/4243700Publisher: Hindawi.","DOI":"10.1155\/2021\/4243700"},{"key":"e_1_3_3_3_50_2","doi-asserted-by":"publisher","unstructured":"Nicholas\u00a0C. Jacobson Hilary Weingarden and Sabine Wilhelm. 2019. Digital biomarkers of mood disorders and symptom change. npj Digital Medicine 2 1 (Feb. 2019) 3. 10.1038\/s41746-019-0078-0","DOI":"10.1038\/s41746-019-0078-0"},{"key":"e_1_3_3_3_51_2","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445923"},{"key":"e_1_3_3_3_52_2","doi-asserted-by":"publisher","unstructured":"Meredith\u00a0A. Jones Warid Islam Rozwat Faiz Xuxin Chen and Bin Zheng. 2022. Applying artificial intelligence technology to assist with breast cancer diagnosis and prognosis prediction. Frontiers in Oncology 12 (Aug. 2022) 980793. 10.3389\/fonc.2022.980793","DOI":"10.3389\/fonc.2022.980793"},{"key":"e_1_3_3_3_53_2","doi-asserted-by":"publisher","unstructured":"Nigel\u00a0S. Kanagasundaram Mark\u00a0T. Bevan Andrew\u00a0J. Sims Andrew Heed David\u00a0A. Price and Neil\u00a0S. Sheerin. 2016. Computerized clinical decision support for the early recognition and management of acute kidney injury: a qualitative evaluation of end-user experience. Clinical Kidney Journal 9 1 (Feb. 2016) 57\u201362. 10.1093\/ckj\/sfv130","DOI":"10.1093\/ckj\/sfv130"},{"key":"e_1_3_3_3_54_2","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445899"},{"key":"e_1_3_3_3_55_2","doi-asserted-by":"publisher","unstructured":"Michael Khalil Charlotte\u00a0E. Teunissen Markus Otto Fredrik Piehl Maria\u00a0Pia Sormani Thomas Gattringer Christian Barro Ludwig Kappos Manuel Comabella Franz Fazekas Axel Petzold Kaj Blennow Henrik Zetterberg and Jens Kuhle. 2018. Neurofilaments as biomarkers in neurological disorders. Nature Reviews Neurology 14 10 (Oct. 2018) 577\u2013589. 10.1038\/s41582-018-0058-z","DOI":"10.1038\/s41582-018-0058-z"},{"key":"e_1_3_3_3_56_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-5341-7_1"},{"key":"e_1_3_3_3_57_2","doi-asserted-by":"publisher","unstructured":"E.I. Konstantinidis P.D. Bamidis A. Billis P. Kartsidis D. Petsani and S.G. Papageorgiou. 2021. Physical training in\u2010game metrics for cognitive assessment: Evidence from extended trials with the fitforall exergaming platform. Sensors 21 17 (2021) 13\u00a0pages. 10.3390\/s21175756","DOI":"10.3390\/s21175756"},{"key":"e_1_3_3_3_58_2","doi-asserted-by":"publisher","unstructured":"Evdokimos\u00a0I. Konstantinidis Panagiotis\u00a0D. Bamidis Antonis Billis Panagiotis Kartsidis Despoina Petsani and Sokratis\u00a0G. Papageorgiou. 2021. Physical Training In-Game Metrics for Cognitive Assessment: Evidence from Extended Trials with the Fitforall Exergaming Platform. Sensors 21 17 (Aug. 2021) 5756. 10.3390\/s21175756","DOI":"10.3390\/s21175756"},{"key":"e_1_3_3_3_59_2","doi-asserted-by":"publisher","unstructured":"Lampros\u00a0C. Kourtis Oliver\u00a0B. Regele Justin\u00a0M. Wright and Graham\u00a0B. Jones. 2019. Digital biomarkers for Alzheimer\u2019s disease: the mobile\/wearable devices opportunity. npj Digital Medicine 2 1 (Feb. 2019) 1\u20139. 10.1038\/s41746-019-0084-2Number: 1 Publisher: Nature Publishing Group.","DOI":"10.1038\/s41746-019-0084-2"},{"key":"e_1_3_3_3_60_2","doi-asserted-by":"publisher","unstructured":"Bum\u00a0Chul Kwon Min-Je Choi Joanne\u00a0Taery Kim Edward Choi Young\u00a0Bin Kim Soonwook Kwon Jimeng Sun and Jaegul Choo. 2019. RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. IEEE Transactions on Visualization and Computer Graphics 25 1 (Jan. 2019) 299\u2013309. 10.1109\/TVCG.2018.2865027","DOI":"10.1109\/TVCG.2018.2865027"},{"key":"e_1_3_3_3_61_2","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173978"},{"key":"e_1_3_3_3_62_2","doi-asserted-by":"publisher","unstructured":"Min\u00a0Hun Lee and Chong\u00a0Jun Chew. 2023. Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making. Proceedings of the ACM on Human-Computer Interaction 7 CSCW2 (Oct. 2023) 369:1\u2013369:22. 10.1145\/3610218","DOI":"10.1145\/3610218"},{"key":"e_1_3_3_3_63_2","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467213"},{"key":"e_1_3_3_3_64_2","doi-asserted-by":"publisher","unstructured":"Regan\u00a0Lee Mandryk and Max\u00a0Valentin Birk. 2019. The Potential of Game-Based Digital Biomarkers for Modeling Mental Health. JMIR Mental Health 6 4 (April 2019) e13485. 10.2196\/13485","DOI":"10.2196\/13485"},{"key":"e_1_3_3_3_65_2","doi-asserted-by":"publisher","unstructured":"Regan\u00a0L. Mandryk Max\u00a0V. Birk Sarah Vedress Katelyn Wiley Elizabeth Reid Phaedra Berger and Julian Frommel. 2021. Remote Assessment of Depression Using Digital Biomarkers From Cognitive Tasks. Frontiers in Psychology 12 (Dec. 2021) 767507. 10.3389\/fpsyg.2021.767507","DOI":"10.3389\/fpsyg.2021.767507"},{"key":"e_1_3_3_3_66_2","unstructured":"H\u00e9der Mih\u00e1ly. 2023. Explainable AI: A Brief History of the Concept. ERCIM NEWS 134 (2023) 9\u201310."},{"key":"e_1_3_3_3_67_2","doi-asserted-by":"publisher","DOI":"10.1145\/2992154.2992185"},{"key":"e_1_3_3_3_68_2","doi-asserted-by":"publisher","unstructured":"Alex\u00a0J. Mitchell. 2009. A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment. Journal of Psychiatric Research 43 4 (Jan. 2009) 411\u2013431. 10.1016\/j.jpsychires.2008.04.014","DOI":"10.1016\/j.jpsychires.2008.04.014"},{"key":"e_1_3_3_3_69_2","doi-asserted-by":"publisher","unstructured":"Christian Montag Jon\u00a0D. Elhai and Paul Dagum. 2021. On Blurry Boundaries When Defining Digital Biomarkers: How Much Biology Needs to Be in a Digital Biomarker? Frontiers in Psychiatry 12 (Sept. 2021) 740292. 10.3389\/fpsyt.2021.740292","DOI":"10.3389\/fpsyt.2021.740292"},{"key":"e_1_3_3_3_70_2","doi-asserted-by":"publisher","unstructured":"Daniel\u00a0R. Murphy Louis Wu Eric\u00a0J. Thomas Samuel\u00a0N. Forjuoh Ashley\u00a0N.D. Meyer and Hardeep Singh. 2015. Electronic Trigger-Based Intervention to Reduce Delays in Diagnostic Evaluation for Cancer: A Cluster Randomized Controlled Trial. Journal of Clinical Oncology 33 31 (Nov. 2015) 3560\u20133567. 10.1200\/JCO.2015.61.1301","DOI":"10.1200\/JCO.2015.61.1301"},{"key":"e_1_3_3_3_71_2","doi-asserted-by":"publisher","unstructured":"Mahsan Nourani Joanie King and Eric Ragan. 2020. The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 8 (Oct. 2020) 112\u2013121. 10.1609\/hcomp.v8i1.7469","DOI":"10.1609\/hcomp.v8i1.7469"},{"key":"e_1_3_3_3_72_2","doi-asserted-by":"publisher","DOI":"10.1145\/3490099.3511140"},{"key":"e_1_3_3_3_73_2","doi-asserted-by":"publisher","unstructured":"Jeroen Ooge Gregor Stiglic and Katrien Verbert. 2022. Explaining artificial intelligence with visual analytics in healthcare. WIREs Data Mining and Knowledge Discovery 12 1 (2022) e1427. 10.1002\/widm.1427_eprint: https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/widm.1427.","DOI":"10.1002\/widm.1427"},{"key":"e_1_3_3_3_74_2","doi-asserted-by":"publisher","DOI":"10.1109\/TREX53765.2021.00007"},{"key":"e_1_3_3_3_75_2","doi-asserted-by":"publisher","unstructured":"Jeroen Ooge and Katrien Verbert. 2022. Visually Explaining Uncertain Price Predictions in Agrifood: A User-Centred Case-Study. Agriculture 12 7 (July 2022) 1024. 10.3390\/agriculture12071024","DOI":"10.3390\/agriculture12071024"},{"key":"e_1_3_3_3_76_2","doi-asserted-by":"publisher","DOI":"10.4324\/9780367806125"},{"key":"e_1_3_3_3_77_2","doi-asserted-by":"publisher","unstructured":"Verna\u00a0C. Pangman Jeff Sloan and Lorna Guse. 2000. An examination of psychometric properties of the Mini-Mental State Examination and the Standardized Mini-Mental State Examination: Implications for clinical practice. Applied Nursing Research 13 4 (Nov. 2000) 209\u2013213. 10.1053\/apnr.2000.9231","DOI":"10.1053\/apnr.2000.9231"},{"key":"e_1_3_3_3_78_2","doi-asserted-by":"publisher","unstructured":"Sui Peng Yihao Liu Weiming Lv Longzhong Liu Qian Zhou Hong Yang Jie Ren Guangjian Liu Xiaodong Wang Xuehua Zhang Qiang Du Fangxing Nie Gao Huang Yuchen Guo Jie Li Jinyu Liang Hangtong Hu Han Xiao Zelong Liu Fenghua Lai Qiuyi Zheng Haibo Wang Yanbing Li Erik\u00a0K Alexander Wei Wang and Haipeng Xiao. 2021. Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study. The Lancet Digital Health 3 4 (April 2021) e250\u2013e259. 10.1016\/S2589-7500(21)00041-8","DOI":"10.1016\/S2589-7500(21)00041-8"},{"key":"e_1_3_3_3_79_2","doi-asserted-by":"publisher","unstructured":"Ronald\u00a0C. Petersen. 2016. Mild Cognitive Impairment:. CONTINUUM: Lifelong Learning in Neurology 22 2 Dementia (April 2016) 404\u2013418. 10.1212\/CON.0000000000000313","DOI":"10.1212\/CON.0000000000000313"},{"key":"e_1_3_3_3_80_2","doi-asserted-by":"publisher","unstructured":"Antoine Piau Katherine Wild Nora Mattek and Jeffrey Kaye. 2019. Current State of Digital Biomarker Technologies for Real-Life Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review. Journal of Medical Internet Research 21 8 (Aug. 2019) e12785. 10.2196\/12785","DOI":"10.2196\/12785"},{"key":"e_1_3_3_3_81_2","doi-asserted-by":"publisher","unstructured":"Tiago C.\u00a0C. Pinto Leonardo Machado Tatiana\u00a0M. Bulgacov Ant\u00f4nio\u00a0L. Rodrigues-J\u00fanior Maria L.\u00a0G. Costa Rosana C.\u00a0C. Ximenes and Everton\u00a0B. Sougey. 2019. Is the Montreal Cognitive Assessment (MoCA) screening superior to the Mini-Mental State Examination (MMSE) in the detection of mild cognitive impairment (MCI) and Alzheimer\u2019s Disease (AD) in the elderly? International Psychogeriatrics 31 4 (April 2019) 491\u2013504. 10.1017\/S1041610218001370","DOI":"10.1017\/S1041610218001370"},{"key":"e_1_3_3_3_82_2","doi-asserted-by":"publisher","unstructured":"Sarah Price Anne Spencer Antonieta Medina-Lara and Willie Hamilton. 2019. Availability and use of cancer decision-support tools: a cross-sectional survey of UK primary care. British Journal of General Practice 69 684 (July 2019) e437\u2013e443. 10.3399\/bjgp19X703745","DOI":"10.3399\/bjgp19X703745"},{"key":"e_1_3_3_3_83_2","series-title":"Environmental health criteria","volume-title":"Biomarkers in risk assessment: validity and validation","author":"chemicals Inter-Organization programme for the sound management\u00a0of","year":"2001","unstructured":"Inter-Organization programme for the sound management\u00a0of chemicals (Ed.). 2001. Biomarkers in risk assessment: validity and validation. Number 222 in Environmental health criteria. World health organization, Geneva."},{"key":"e_1_3_3_3_84_2","doi-asserted-by":"publisher","unstructured":"Carlo Reverberi Tommaso Rigon Aldo Solari Cesare Hassan Paolo Cherubini GI Genius CADx Study Group Giulio Antonelli Halim Awadie Sebastian Bernhofer Sabela Carballal M\u00e1rio Dinis-Ribeiro Agn\u00e8s Fern\u00e1ndez-Clotett Gl\u00f2ria\u00a0Fern\u00e1ndez Esparrach Ian Gralnek Yuta Higasa Taku Hirabayashi Tatsuki Hirai Mineo Iwatate Miki Kawano Markus Mader Andreas Maieron Sebastian Mattes Tastuya Nakai Ingrid Ordas Raquel Ortig\u00e3o Oswaldo\u00a0Ortiz Z\u00fa\u00f1iga Maria Pellis\u00e9 Cl\u00e1udia Pinto Florian Riedl Ariadna S\u00e1nchez Emanuel Steiner Yukari Tanaka and Andrea Cherubini. 2022. Experimental evidence of effective human\u2013AI collaboration in medical decision-making. Scientific Reports 12 1 (Sept. 2022) 14952. 10.1038\/s41598-022-18751-2","DOI":"10.1038\/s41598-022-18751-2"},{"key":"e_1_3_3_3_85_2","doi-asserted-by":"publisher","unstructured":"David\u00a0C. Rose William\u00a0J. Sutherland Caroline Parker Matt Lobley Michael Winter Carol Morris Susan Twining Charles Ffoulkes Tatsuya Amano and Lynn\u00a0V. Dicks. 2016. Decision support tools for agriculture: Towards effective design and delivery. Agricultural Systems 149 (Nov. 2016) 165\u2013174. 10.1016\/j.agsy.2016.09.009","DOI":"10.1016\/j.agsy.2016.09.009"},{"key":"e_1_3_3_3_86_2","doi-asserted-by":"publisher","unstructured":"Yuri Rykov Thuan-Quoc Thach Iva Bojic George Christopoulos and Josip Car. 2021. Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling. JMIR mHealth and uHealth 9 10 (Oct. 2021) e24872. 10.2196\/24872","DOI":"10.2196\/24872"},{"key":"e_1_3_3_3_87_2","doi-asserted-by":"publisher","unstructured":"Dominik Sacha Hansi Senaratne Bum\u00a0Chul Kwon Geoffrey Ellis and Daniel\u00a0A. Keim. 2016. The Role of Uncertainty Awareness and Trust in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics 22 1 (Jan. 2016) 240\u2013249. 10.1109\/TVCG.2015.2467591Conference Name: IEEE Transactions on Visualization and Computer Graphics.","DOI":"10.1109\/TVCG.2015.2467591"},{"key":"e_1_3_3_3_88_2","doi-asserted-by":"publisher","unstructured":"Peter Savadjiev Jaron Chong Anthony Dohan Maria Vakalopoulou Caroline Reinhold Nikos Paragios and Benoit Gallix. 2019. Demystification of AI-driven medical image interpretation: past present and future. European Radiology 29 3 (March 2019) 1616\u20131624. 10.1007\/s00330-018-5674-x","DOI":"10.1007\/s00330-018-5674-x"},{"key":"e_1_3_3_3_89_2","doi-asserted-by":"publisher","unstructured":"Vrutangkumar\u00a0V. Shah James McNames Martina Mancini Patricia Carlson-Kuhta John\u00a0G. Nutt Mahmoud El-Gohary Jodi\u00a0A. Lapidus Fay\u00a0B. Horak and Carolin Curtze. 2020. Digital Biomarkers of Mobility in Parkinson\u2019s Disease During Daily Living. Journal of Parkinson\u2019s Disease 10 3 (July 2020) 1099\u20131111. 10.3233\/JPD-201914","DOI":"10.3233\/JPD-201914"},{"key":"e_1_3_3_3_90_2","doi-asserted-by":"publisher","unstructured":"Ben Shneiderman. 1997. Designing Information-Abundant Web Sites: Issues and Recommendations. International Journal of Human-Computer Studies 47 1 (July 1997) 5\u201329. 10.1006\/ijhc.1997.0127","DOI":"10.1006\/ijhc.1997.0127"},{"key":"e_1_3_3_3_91_2","doi-asserted-by":"publisher","unstructured":"Ilina Singh and Nikolas Rose. 2009. Biomarkers in psychiatry. Nature 460 7252 (July 2009) 202\u2013207. 10.1038\/460202a","DOI":"10.1038\/460202a"},{"key":"e_1_3_3_3_92_2","doi-asserted-by":"publisher","unstructured":"E. Sir\u00e1ly \u00c1. Szab\u00f3 B. Szita V. Kov\u00e1cs Z. Fodor C. Marosi P. Salacz Z. Hidasi V. Maros P. Han\u00e1k \u00c9. Csibri and G. Csukly. 2015. Monitoring the early signs of cognitive decline in elderly by computer games: An MRI study. PLoS ONE 10 2 (2015) 14\u00a0pages. 10.1371\/journal.pone.0117918","DOI":"10.1371\/journal.pone.0117918"},{"key":"e_1_3_3_3_93_2","doi-asserted-by":"publisher","unstructured":"Reed\u00a0T. Sutton David Pincock Daniel\u00a0C. Baumgart Daniel\u00a0C. Sadowski Richard\u00a0N. Fedorak and Karen\u00a0I. Kroeker. 2020. An overview of clinical decision support systems: benefits risks and strategies for success. npj Digital Medicine 3 1 (Feb. 2020) 17. 10.1038\/s41746-020-0221-y","DOI":"10.1038\/s41746-020-0221-y"},{"key":"e_1_3_3_3_94_2","first-page":"35","volume-title":"IntRS@ RecSys","author":"Szymanski Maxwell","year":"2023","unstructured":"Maxwell Szymanski, Cristina Conati, Vero\u00a0Vanden Abeele, and Katrien Verbert. 2023. Designing and Personalising Hybrid Multi-Modal Health Explanations for Lay Users. In IntRS@ RecSys. Association for Computing Machinery, Singapore, 35\u201352."},{"key":"e_1_3_3_3_95_2","doi-asserted-by":"publisher","DOI":"10.1145\/3397481.3450662"},{"key":"e_1_3_3_3_96_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613905.3637140"},{"key":"e_1_3_3_3_97_2","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482420"},{"key":"e_1_3_3_3_98_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-08939-3_11"},{"key":"e_1_3_3_3_99_2","doi-asserted-by":"publisher","unstructured":"Ioannis Tarnanas Nikos Laskaris Magda Tsolaki Ren\u00e9 Muri Tobias Nef and Urs\u00a0P. Mosimann. 2015. On the comparison of a novel serious game and electroencephalography biomarkers for early dementia screening. Advances in Experimental Medicine and Biology 821 (2015) 63\u201377. 10.1007\/978-3-319-08939-3_11","DOI":"10.1007\/978-3-319-08939-3_11"},{"key":"e_1_3_3_3_100_2","doi-asserted-by":"publisher","unstructured":"Philipp Tschandl Christoph Rinner Zoe Apalla Giuseppe Argenziano Noel Codella Allan Halpern Monika Janda Aimilios Lallas Caterina Longo Josep Malvehy John Paoli Susana Puig Cliff Rosendahl H.\u00a0Peter Soyer Iris Zalaudek and Harald Kittler. 2020. Human\u2013computer collaboration for skin cancer recognition. Nature Medicine 26 8 (Aug. 2020) 1229\u20131234. 10.1038\/s41591-020-0942-0","DOI":"10.1038\/s41591-020-0942-0"},{"key":"e_1_3_3_3_101_2","doi-asserted-by":"publisher","unstructured":"Nichole\u00a0S. Tyler and Peter\u00a0G. Jacobs. 2020. Artificial Intelligence in Decision Support Systems for Type 1 Diabetes. Sensors 20 11 (June 2020) 3214. 10.3390\/s20113214","DOI":"10.3390\/s20113214"},{"key":"e_1_3_3_3_102_2","doi-asserted-by":"publisher","unstructured":"Jacobus\u00a0T. Van\u00a0Wyk Marc\u00a0A.M. Van\u00a0Wijk Miriam\u00a0C.J.M. Sturkenboom Mees Mosseveld Peter\u00a0W. Moorman and Johan Van Der\u00a0Lei. 2008. Electronic Alerts Versus On-Demand Decision Support to Improve Dyslipidemia Treatment: A Cluster Randomized Controlled Trial. Circulation 117 3 (Jan. 2008) 371\u2013378. 10.1161\/CIRCULATIONAHA.107.697201","DOI":"10.1161\/CIRCULATIONAHA.107.697201"},{"key":"e_1_3_3_3_103_2","doi-asserted-by":"publisher","unstructured":"Srikanth Vasudevan Anindita Saha Michelle\u00a0E. Tarver and Bakul Patel. 2022. Digital biomarkers: Convergence of digital health technologies and biomarkers. npj Digital Medicine 5 1 (March 2022) 36. 10.1038\/s41746-022-00583-z","DOI":"10.1038\/s41746-022-00583-z"},{"key":"e_1_3_3_3_104_2","doi-asserted-by":"publisher","unstructured":"Venkatesh Morris Davis and Davis. 2003. User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly 27 3 (2003) 425. 10.2307\/30036540","DOI":"10.2307\/30036540"},{"key":"e_1_3_3_3_105_2","doi-asserted-by":"publisher","DOI":"10.1145\/2663806.2663852"},{"key":"e_1_3_3_3_106_2","doi-asserted-by":"publisher","unstructured":"Neff Walker David\u00a0E. Meyer and JOhn\u00a0B. Smelcer. 1993. Spatial and Temporal Characteristics of Rapid Cursor-Positioning Movements with Electromechanical Mice in Human-Computer Interaction. Human Factors: The Journal of the Human Factors and Ergonomics Society 35 3 (Sept. 1993) 431\u2013458. 10.1177\/001872089303500304","DOI":"10.1177\/001872089303500304"},{"key":"e_1_3_3_3_107_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300831"},{"key":"e_1_3_3_3_108_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584090"},{"key":"e_1_3_3_3_109_2","doi-asserted-by":"publisher","DOI":"10.1145\/3308532.3329441"},{"key":"e_1_3_3_3_110_2","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599759"},{"key":"e_1_3_3_3_111_2","doi-asserted-by":"publisher","DOI":"10.1145\/3377325.3377480"},{"key":"e_1_3_3_3_112_2","doi-asserted-by":"publisher","unstructured":"Hanrui Zhang Kaiwen Deng Hongyang Li Roger\u00a0L. Albin and Yuanfang Guan. 2020. Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson\u2019s Disease. Patterns 1 3 (June 2020) 100042. 10.1016\/j.patter.2020.100042","DOI":"10.1016\/j.patter.2020.100042"},{"key":"e_1_3_3_3_113_2","doi-asserted-by":"publisher","DOI":"10.1145\/3340631.3394848"}],"event":{"name":"IUI '25: 30th International Conference on Intelligent User Interfaces","location":"Cagliari Italy","acronym":"IUI '25","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 30th International Conference on Intelligent User Interfaces"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3708359.3712139","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3708359.3712139","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:57:06Z","timestamp":1750298226000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3708359.3712139"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,24]]},"references-count":112,"alternative-id":["10.1145\/3708359.3712139","10.1145\/3708359"],"URL":"https:\/\/doi.org\/10.1145\/3708359.3712139","relation":{},"subject":[],"published":{"date-parts":[[2025,3,24]]},"assertion":[{"value":"2025-03-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}