{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T01:39:24Z","timestamp":1767317964007,"version":"3.48.0"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032119025","type":"print"},{"value":"9783032119032","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-11903-2_14","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T01:34:46Z","timestamp":1767317686000},"page":"169-181","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Methodology for Personalized Human\u2013Robot Collaboration that Accounts for Individual Characteristics of Human Biological Signals"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5021-5411","authenticated-orcid":false,"given":"Daniyar","family":"Wolf","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6429-7868","authenticated-orcid":false,"given":"Rinat","family":"Galin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5290-885X","authenticated-orcid":false,"given":"Yaroslav","family":"Turovskiy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1129-8434","authenticated-orcid":false,"given":"Roman","family":"Meshcheryakov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5242-0996","authenticated-orcid":false,"given":"Saniya","family":"Galina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"14_CR1","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-1480-4_10","volume-title":"Futuristic Trends in Network and Communication Technologies. FTNCT 2020","author":"R Galin","year":"2021","unstructured":"Galin, R., Mamchenko, M.: Human-robot collaboration in the society of the future: a survey on the challenges and the barriers. In: Singh, P.K., Veselov, G., Vyatkin, V., Pljonkin, A., Dodero, J.M., Kumar, Y. (eds.) Futuristic Trends in Network and Communication Technologies. FTNCT 2020 Communications in Computer and Information Science, vol. 1395. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-16-1480-4_10"},{"key":"14_CR2","doi-asserted-by":"publisher","unstructured":"Li, S., Zheng, P., Liu, S., Wang, Z., Wang, X.V., Zheng, L., Wang, L.: Proactive human\u2013robot collaboration: mutual-cognitive, predictable, and self-organising perspectives. Robot. Comput. Integr. Manuf. 81 (2023). https:\/\/doi.org\/10.1016\/j.rcim.2022.102510","DOI":"10.1016\/j.rcim.2022.102510"},{"key":"14_CR3","doi-asserted-by":"publisher","first-page":"536","DOI":"10.3390\/machines11050536","volume":"11","author":"C Savur","year":"2023","unstructured":"Savur, C., Sahin, F.: Survey on physiological computing in human\u2013robot collaboration. Machines. 11, 536 (2023). https:\/\/doi.org\/10.3390\/machines11050536","journal-title":"Machines"},{"key":"14_CR4","doi-asserted-by":"publisher","first-page":"1491721","DOI":"10.3389\/fnbot.2024.1491721","volume":"18","author":"R Vieira","year":"2024","unstructured":"Vieira, R., Moreno, P., Vourvopoulos, A.: EEG-based action anticipation in human-robot interaction: a comparative pilot study. Front. Neurorobot. 18, 1491721 (2024). https:\/\/doi.org\/10.3389\/fnbot.2024.1491721","journal-title":"Front. Neurorobot."},{"key":"14_CR5","doi-asserted-by":"publisher","first-page":"6345","DOI":"10.3390\/app14146345","volume":"14","author":"A Gonzalez-Santocildes","year":"2024","unstructured":"Gonzalez-Santocildes, A., Vazquez, J.-I., Eguiluz, A.: Enhancing robot behavior with EEG, reinforcement learning and beyond: a review of techniques in collaborative robotics. Appl. Sci. 14, 6345 (2024). https:\/\/doi.org\/10.3390\/app14146345","journal-title":"Appl. Sci."},{"key":"14_CR6","doi-asserted-by":"publisher","first-page":"12784","DOI":"10.1080\/10447318.2025.2464915","volume":"97","author":"Y Zhang","year":"2025","unstructured":"Zhang, Y., Rajabi, N., Taleb, F., Matviienko, A., Ma, Y., Bj\u00f6rkman, M., Kragic, D.: Mind meets robots: a review of EEG-based brain-robot interaction systems. Int. J. Hum.-Comput. Interact. 97, 12784\u201312815 (2025). https:\/\/doi.org\/10.1080\/10447318.2025.2464915","journal-title":"Int. J. Hum.-Comput. Interact."},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Bussolan, A., et al.: Personalized Mental State Evaluation in Human-Robot Interaction Using Federated Learning. arXiv preprint arXiv:2506.20212 (2025)","DOI":"10.1109\/ICE\/ITMC65658.2025.11106641"},{"key":"14_CR8","doi-asserted-by":"publisher","first-page":"103652","DOI":"10.1016\/j.aei.2025.103652","volume":"68","author":"H Chen","year":"2025","unstructured":"Chen, H., Chan, I.Y.S., Dong, Z., Guo, Q., Hong, J., Twum-Ampofo, S.: Biosignal measurement for human-robot collaboration in construction: a systematic review. Adv. Eng. Inform. 68, 103652 (2025). https:\/\/doi.org\/10.1016\/j.aei.2025.103652","journal-title":"Adv. Eng. Inform."},{"issue":"B","key":"14_CR9","doi-asserted-by":"publisher","first-page":"102720","DOI":"10.1016\/j.aei.2024.102720","volume":"62","author":"H Chauhan","year":"2024","unstructured":"Chauhan, H., Jang, Y., Jeong, I.: Predicting human trust in human-robot collaborations using machine learning and psychophysiological responses. Adv. Eng. Inform. 62(B), 102720 (2024). https:\/\/doi.org\/10.1016\/j.aei.2024.102720","journal-title":"Adv. Eng. Inform."},{"key":"14_CR10","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1016\/j.jmsy.2024.10.002","volume":"77","author":"S Chand","year":"2024","unstructured":"Chand, S., Zheng, H., Lu, Y.: A vision-enabled fatigue-sensitive human digital twin towards human-centric human-robot collaboration. J. Manuf. Syst. 77, 432\u2013445 (2024). https:\/\/doi.org\/10.1016\/j.jmsy.2024.10.002","journal-title":"J. Manuf. Syst."},{"key":"14_CR11","doi-asserted-by":"publisher","first-page":"1122661","DOI":"10.3389\/fnins.2023.1122661","volume":"17","author":"G Huang","year":"2023","unstructured":"Huang, G., Zhao, Z., Zhang, S., Hu, Z., Fan, J., Fu, M., Chen, J., Xiao, Y., Wang, J., Dan, G.: Discrepancy between inter- and intra-subject variability in EEG-based motor imagery brain-computer interface: evidence from multiple perspectives. Front. Neurosci. 17, 1122661 (2023). https:\/\/doi.org\/10.3389\/fnins.2023.1122661","journal-title":"Front. Neurosci."},{"key":"14_CR12","doi-asserted-by":"publisher","first-page":"103","DOI":"10.3389\/fnhum.2020.00103","volume":"14","author":"L Xu","year":"2020","unstructured":"Xu, L., Xu, M., Ke, Y., An, X., Liu, S., Ming, D.: Cross-dataset variability problem in EEG decoding with deep learning. Front. Hum. Neurosci. 14, 103 (2020). https:\/\/doi.org\/10.3389\/fnhum.2020.00103","journal-title":"Front. Hum. Neurosci."},{"issue":"3","key":"14_CR13","doi-asserted-by":"publisher","first-page":"196","DOI":"10.3390\/brainsci14030196","volume":"14","author":"S Wu","year":"2024","unstructured":"Wu, S., Bhadra, K., Giraud, A.L., Marchesotti, S.: Adaptive LDA classifier enhances real-time control of an EEG brain-computer interface for decoding imagined syllables. Brain Sci. 14(3), 196 (2024). https:\/\/doi.org\/10.3390\/brainsci14030196","journal-title":"Brain Sci."},{"key":"14_CR14","doi-asserted-by":"publisher","first-page":"837307","DOI":"10.3389\/fnrgo.2022.837307","volume":"3","author":"J Giles","year":"2022","unstructured":"Giles, J., Ang, K.K., Phua, K.S., Arvaneh, M.: A transfer learning algorithm to reduce brain-computer interface calibration time for long-term users. Front. Neuroergon. 3, 837307 (2022). https:\/\/doi.org\/10.3389\/fnrgo.2022.837307","journal-title":"Front. Neuroergon."},{"key":"14_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20980-2_57","volume-title":"Speech and Computer (SPECOM 2022)","author":"Y Turovsky","year":"2022","unstructured":"Turovsky, Y., Wolf, D., Meshcheryakov, R., Iskhakova, A.: Dynamics of frequency characteristics of visually evoked potentials of electroencephalography during the work with brain-computer interfaces. In: Prasanna, S.R.M., Karpov, A., Samudravijaya, K., Agrawal, S.S. (eds.) Speech and Computer (SPECOM 2022) Lecture Notes in Computer Science, vol. 13721. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20980-2_57"},{"issue":"1","key":"14_CR16","doi-asserted-by":"publisher","first-page":"34","DOI":"10.14529\/mmph230104","volume":"15","author":"RV Meshcheryakov","year":"2023","unstructured":"Meshcheryakov, R.V., Wolf, D.A., Turovsky, Y.A.: An autocoder of the electrical activity of the human brain. Vestn. Iuzhno-Ural. Gos. Un-ta. Ser. Mat. Mekh. Fiz. 15(1), 34\u201342 (2023). https:\/\/doi.org\/10.14529\/mmph230104","journal-title":"Vestn. Iuzhno-Ural. Gos. Un-ta. Ser. Mat. Mekh. Fiz."},{"key":"14_CR17","doi-asserted-by":"publisher","first-page":"1606336","DOI":"10.3389\/fmed.2025.1606336","volume":"12","author":"B Yuan","year":"2025","unstructured":"Yuan, B., et al.: Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification. Front. Med. (Lausanne). 12, 1606336 (2025). https:\/\/doi.org\/10.3389\/fmed.2025.1606336","journal-title":"Front. Med. (Lausanne)"},{"issue":"3","key":"14_CR18","doi-asserted-by":"publisher","first-page":"e25468","DOI":"10.1016\/j.heliyon.2024.e25468","volume":"10","author":"D Reyes","year":"2024","unstructured":"Reyes, D., Sanchez, J.: Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging. Heliyon. 10(3), e25468 (2024). https:\/\/doi.org\/10.1016\/j.heliyon.2024.e25468","journal-title":"Heliyon"}],"container-title":["Lecture Notes in Computer Science","Interactive Collaborative Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-11903-2_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T01:34:46Z","timestamp":1767317686000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-11903-2_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032119025","9783032119032"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-11903-2_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Interactive Collaborative Robotics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanoi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icr2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/lqdtu.edu.vn\/page\/Home\/ICR-2025","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}