{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T10:41:16Z","timestamp":1730198476638,"version":"3.28.0"},"reference-count":61,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,5]],"date-time":"2023-06-05T00:00:00Z","timestamp":1685923200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,5]],"date-time":"2023-06-05T00:00:00Z","timestamp":1685923200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,5]]},"DOI":"10.1109\/arso56563.2023.10187430","type":"proceedings-article","created":{"date-parts":[[2023,7,25]],"date-time":"2023-07-25T17:22:10Z","timestamp":1690305730000},"page":"9-14","source":"Crossref","is-referenced-by-count":1,"title":["Productive teaming under uncertainty: when a human and a machine classify objects together"],"prefix":"10.1109","author":[{"given":"Anne","family":"Rother","sequence":"first","affiliation":[{"name":"Otto-von-Guericke University,Knowledge Management & Discovery Lab,Magdeburg,Germany"}]},{"given":"Gunther","family":"Notni","sequence":"additional","affiliation":[{"name":"Technical University,Quality Assurance and Industrial Image Processing,Ilmenau,Germany"}]},{"given":"Alexander","family":"Hasse","sequence":"additional","affiliation":[{"name":"Chemnitz University of Technology,Machine Elements and Product Development,Germany"}]},{"given":"Benjamin","family":"Noack","sequence":"additional","affiliation":[{"name":"Otto-von-Guericke University,Autonomous Multisensor Systems Group,Magdeburg,Germany"}]},{"given":"Christian","family":"Beyer","sequence":"additional","affiliation":[{"name":"Otto-von-Guericke University,Knowledge Management & Discovery Lab,Magdeburg,Germany"}]},{"given":"Jan","family":"Rei\u00dfmann","sequence":"additional","affiliation":[{"name":"Chemnitz University of Technology,Machine Elements and Product Development,Germany"}]},{"given":"Chen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Technical University,Quality Assurance and Industrial Image Processing,Ilmenau,Germany"}]},{"given":"Marco","family":"Ragni","sequence":"additional","affiliation":[{"name":"Chemnitz University of Technology,Predictive Analytics,Germany"}]},{"given":"Julia","family":"Arlinghaus","sequence":"additional","affiliation":[{"name":"Otto-von-Guericke University,Production Systems and Automation,Magdeburg,Germany"}]},{"given":"Myra","family":"Spiliopoulou","sequence":"additional","affiliation":[{"name":"Otto-von-Guericke University,Knowledge Management & Discovery Lab,Magdeburg,Germany"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2818048.2820016"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering9110711"},{"key":"ref12","first-page":"55","article-title":"Expert disagreement in sequential labeling: A case study on adjudication in medical time series analysis","author":"schaekermann","year":"2018","journal-title":"SAD\/CrowdBias HCOMP"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.4258\/hir.2021.27.1.11"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2018.00028"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0183592"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-65965-3_24"},{"key":"ref58","first-page":"94","article-title":"Facial thermal image analysis for stress detection","volume":"6","author":"hong","year":"2017","journal-title":"Int J Eng Res Technol"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-020-01074-x"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2020.01980"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10606-018-9336-y"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/IPEC49694.2020.9115140"},{"key":"ref10","first-page":"312","article-title":"Gesture dynamics: Features sensitive to task difficulty and correlated with physiological sensors","volume":"1418","author":"anthony","year":"2011","journal-title":"Stress"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.10.011"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/12460125.2020.1768680"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0254764"},{"key":"ref19","first-page":"6450","article-title":"Active feature acquisition with generative surrogate models","author":"li","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1080.0952"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.03.006"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1113\/expphysiol.2008.042424"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8856596"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2015.02.012"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/bios12070465"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1186\/s12938-021-00911-6"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19778-9_10"},{"key":"ref41","article-title":"Mediapipe: A framework for per-ceiving and processing reality","author":"lugaresi","year":"0","journal-title":"Third Workshop on Computer Vision for AR\/VR at IEEE Computer Vision and Pattern Recognition (CVPR) 2019"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/s41377-018-0072-3"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2016.02.017"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3390\/s21082873"},{"key":"ref8","first-page":"373","article-title":"In what mood are you today? an analysis of crowd workers' mood, performance and engagement","author":"zhuang","year":"0","journal-title":"Proceedings of the 10th ACM Conference on Web Science"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66435-4_2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744818"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458165"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.5.3.034002"},{"key":"ref6","volume":"abs 1909 12473","author":"gupta","year":"2019","journal-title":"Learning in confusion Batch active learning with noisy oracle"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5738"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2920183"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.8.004480"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.6.004378"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1515\/cdbme-2021-2095"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8856439"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.7.004941"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s40846-022-00700-z"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5220\/0006095003260333"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3008687"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3229864"},{"key":"ref1","article-title":"Augmented virtuality data annotation and human-in-the-loop refinement for rgbd data in industrial bin-picking scenarios","author":"blank","year":"0","journal-title":"Proceedings of the third Conference on Production Systems and Logistics (CPSL 2022)"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.6.000086"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.423508"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2266196"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1364\/OE.16.021434"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging6110123"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.5.001124"},{"key":"ref20","article-title":"Reducing missingness in a stream through cost-aware active feature acquisition","author":"beyer","year":"0","journal-title":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.pneurobio.2017.05.004"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3167132.3167188"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1117\/12.2558413"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1117\/12.2592660"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2019.00732"},{"key":"ref60","article-title":"Human stress recognition from facial thermal-based signature: A literature survey","author":"arasu","year":"2021","journal-title":"Computer Modeling in Engineering & Sciences (CMES)"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1716084115"}],"event":{"name":"2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","start":{"date-parts":[[2023,6,5]]},"location":"Berlin, Germany","end":{"date-parts":[[2023,6,7]]}},"container-title":["2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10187190\/10187410\/10187430.pdf?arnumber=10187430","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T17:36:44Z","timestamp":1692034604000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10187430\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,5]]},"references-count":61,"URL":"https:\/\/doi.org\/10.1109\/arso56563.2023.10187430","relation":{},"subject":[],"published":{"date-parts":[[2023,6,5]]}}}