{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:59:45Z","timestamp":1742939985438,"version":"3.40.3"},"publisher-location":"Cham","reference-count":42,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031358937"},{"type":"electronic","value":"9783031358944"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-35894-4_22","type":"book-chapter","created":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:05:33Z","timestamp":1688857533000},"page":"298-310","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["We Want AI to Help Us"],"prefix":"10.1007","author":[{"given":"Ruochen","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuhui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,9]]},"reference":[{"key":"22_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2020.105021","volume":"133","author":"R Hamer","year":"2021","unstructured":"Hamer, R., Waterson, P., Jun, G.T.: Human factors and nuclear safety since 1970 \u2013 A critical review of the past, present and future. Saf. Sci. 133, 105021 (2021). https:\/\/doi.org\/10.1016\/j.ssci.2020.105021","journal-title":"Saf. Sci."},{"unstructured":"Moray, N.P., Huey, B.M.: Human factors research and nuclear safety. National Academies Press (1988)","key":"22_CR2"},{"key":"22_CR3","first-page":"27","volume":"29","author":"E Swaton","year":"1987","unstructured":"Swaton, E., Neboyan, V., Lederman, L.: Human factors in the operation of nuclear power plants. IAEA Bull. 29, 27\u201330 (1987)","journal-title":"IAEA Bull."},{"unstructured":"Zhang, L., Shi, J., Chen, W.: Revolution of nuclear power plant design through digital technology.\u00a0 In: International Atomic Energy Agency (IAEA) (2015)","key":"22_CR4"},{"doi-asserted-by":"crossref","unstructured":"McCarthy, J.: What is artificial intelligence? (2007)","key":"22_CR5","DOI":"10.1145\/1283920.1283926"},{"doi-asserted-by":"publisher","unstructured":"Lu, C., et al.: Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications\u2014A systemic review. IEEE Access\u00a08, 194315\u2013194332 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3032529","key":"22_CR6","DOI":"10.1109\/ACCESS.2020.3032529"},{"key":"22_CR7","doi-asserted-by":"publisher","first-page":"52138","DOI":"10.1109\/ACCESS.2018.2870052","volume":"6","author":"A Adadi","year":"2018","unstructured":"Adadi, A., Berrada, M.: Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE Access. 6, 52138\u201352160 (2018). https:\/\/doi.org\/10.1109\/ACCESS.2018.2870052","journal-title":"IEEE Access."},{"key":"22_CR8","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1145\/214748.214758","volume":"30","author":"NC Goodwin","year":"1987","unstructured":"Goodwin, N.C.: Functionality and usability. Commun. ACM 30, 229\u2013233 (1987). https:\/\/doi.org\/10.1145\/214748.214758","journal-title":"Commun. ACM"},{"doi-asserted-by":"crossref","unstructured":"Norman, D.: User centered system design. New Perspect. Hum.-Comput. Interact. (1986)","key":"22_CR9","DOI":"10.1201\/b15703"},{"doi-asserted-by":"crossref","unstructured":"Shneiderman, B.: Human-centered AI. Oxford University Press (2022)","key":"22_CR10","DOI":"10.1093\/oso\/9780192845290.001.0001"},{"key":"22_CR11","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1191\/1478088706qp063oa","volume":"3","author":"V Braun","year":"2006","unstructured":"Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3, 77\u2013101 (2006). https:\/\/doi.org\/10.1191\/1478088706qp063oa","journal-title":"Qual. Res. Psychol."},{"doi-asserted-by":"publisher","unstructured":"Medema, H., Savchenko, K., Boring, R., Ulrich, T.: Defining mutual awareness: Results of reactor operator surveys on the emergence of digital technology in main control rooms. In: Advances in Human Error, Reliability, Resilience, and Performance: Proceedings of the AHFE 2018 International Conference on Human Error, Reliability, Resilience, and Performance, 21\u201325 July 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA, vol. 9, pp. 58\u201367. Springer (2019).\u00a0https:\/\/doi.org\/10.1007\/978-3-319-94391-6_6","key":"22_CR12","DOI":"10.1007\/978-3-319-94391-6_6"},{"unstructured":"Gertman, D.I., Haney, L.N., Jenkins, J.P., Blackman, H.S.: Operational decisionmaking and action selection under psychological stress in nuclear power plants. EG and G Idaho Inc, Idaho Falls (USA) (1985)","key":"22_CR13"},{"doi-asserted-by":"publisher","unstructured":"Kontogiannis, T.: Stress and operator decision making in coping with emergencies. Int. J. Hum.-Comput. Stud. 45, 75\u2013104 (1996). https:\/\/doi.org\/10.1006\/ijhc.1996.0043","key":"22_CR14","DOI":"10.1006\/ijhc.1996.0043"},{"key":"22_CR15","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.ress.2003.09.001","volume":"83","author":"J Park","year":"2004","unstructured":"Park, J., Kim, J., Jung, W.: Comparing the complexity of procedural steps with the operators\u2019 performance observed under stressful conditions. Reliab. Eng. Syst. Saf. 83, 79\u201391 (2004). https:\/\/doi.org\/10.1016\/j.ress.2003.09.001","journal-title":"Reliab. Eng. Syst. Saf."},{"unstructured":"Chuang, C.F., Chou, H.P.: Investigation on the design of human-system interface for advanced nuclear plant control room (2006)","key":"22_CR16"},{"key":"22_CR17","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1002\/hfm.20247","volume":"21","author":"CJ Lin","year":"2011","unstructured":"Lin, C.J., Hsieh, T.-L., Tsai, P.-J., Yang, C.-W., Yenn, T.-C.: Development of a team workload assessment technique for the main control room of advanced nuclear power plants. Hum. Factors Ergon. Manuf. Serv. Ind. 21, 397\u2013411 (2011). https:\/\/doi.org\/10.1002\/hfm.20247","journal-title":"Hum. Factors Ergon. Manuf. Serv. Ind."},{"key":"22_CR18","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.ress.2012.08.004","volume":"109","author":"W Preischl","year":"2013","unstructured":"Preischl, W., Hellmich, M.: Human error probabilities from operational experience of German nuclear power plants. Reliab. Eng. Syst. Saf. 109, 150\u2013159 (2013). https:\/\/doi.org\/10.1016\/j.ress.2012.08.004","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"22_CR19","first-page":"22","volume":"82","author":"TB Sheridan","year":"1980","unstructured":"Sheridan, T.B.: Human error in nuclear power plants. Technol. Rev. 82, 22\u201333 (1980)","journal-title":"Technol. Rev."},{"unstructured":"O\u2019hara, J.M., Higgins, J.C., Persensky, J.J., Lewis, P.M., Bongarra, J.P.: Human factors engineering program review model. Brookhaven National Lab Upton NY (2004)","key":"22_CR20"},{"unstructured":"Plott, C., Engh, T., Barnes, V.E.: Technical basis for regulatory guidance for assessing exemption requests from the nuclear power plant licensed operator staffing requirements specified in 10 CFR 50.54 (m). Division of Systems Analysis and Regulatory Effectiveness, Office of Nuclear (2004)","key":"22_CR21"},{"unstructured":"Kuang, C., Fabricant, R.: User friendly: How the hidden rules of design are changing the way we live, work & play. Random House (2019)","key":"22_CR22"},{"key":"22_CR23","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/0306-4573(84)90044-X","volume":"20","author":"WB Rouse","year":"1984","unstructured":"Rouse, W.B., Rouse, S.H.: Human information seeking and design of information systems. Inf. Process. Manag. 20, 129\u2013138 (1984). https:\/\/doi.org\/10.1016\/0306-4573(84)90044-X","journal-title":"Inf. Process. Manag."},{"unstructured":"Carvalho, P.V., Gomes, J.O., Borges, M.R.: Human centered design for nuclear power plant control room modernization. In: CEUR Proceedings 4th Workshop HCP Human Centered Processes, pp. 10\u201311 (2011)","key":"22_CR24"},{"key":"22_CR25","first-page":"445","volume":"37","author":"C Abras","year":"2004","unstructured":"Abras, C., Maloney-Krichmar, D., Preece, J., Bainbridge, W.: Encyclopedia of human-computer interaction. Thousand Oaks Sage Publ. 37, 445\u2013456 (2004)","journal-title":"Thousand Oaks Sage Publ."},{"unstructured":"Buchanan, B.G.: A (very) brief history of artificial intelligence. Ai Mag. 26, 53 (2005)","key":"22_CR26"},{"doi-asserted-by":"publisher","unstructured":"Voulodimos, A., Doulamis, N., Doulamis, A., Protopapadakis, E.: Deep learning for computer vision: A brief review. Comput. Intell. Neurosci. 2018 (2018). https:\/\/doi.org\/10.1155\/2018\/7068349","key":"22_CR27","DOI":"10.1155\/2018\/7068349"},{"doi-asserted-by":"publisher","unstructured":"Gaikwad, S.K., Gawali, B.W., Yannawar, P.: A review on speech recognition technique. Int. J. Comput. Appl. 10, 16\u201324 (2010). https:\/\/doi.org\/10.5120\/1462-1976","key":"22_CR28","DOI":"10.5120\/1462-1976"},{"key":"22_CR29","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1136\/amiajnl-2011-000464","volume":"18","author":"PM Nadkarni","year":"2011","unstructured":"Nadkarni, P.M., Ohno-Machado, L., Chapman, W.W.: Natural language processing: an introduction. J. Am. Med. Inform. Assoc. 18, 544\u2013551 (2011). https:\/\/doi.org\/10.1136\/amiajnl-2011-000464","journal-title":"J. Am. Med. Inform. Assoc."},{"doi-asserted-by":"crossref","unstructured":"Harika, J., Baleeshwar, P., Navya, K., Shanmugasundaram, H.: A review on artificial intelligence with deep human reasoning. In: 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC), pp. 81\u201384. IEEE (2022)","key":"22_CR30","DOI":"10.1109\/ICAAIC53929.2022.9793310"},{"key":"22_CR31","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.ijinfomgt.2019.01.021","volume":"48","author":"Y Duan","year":"2019","unstructured":"Duan, Y., Edwards, J.S., Dwivedi, Y.K.: Artificial intelligence for decision making in the era of Big Data\u2013evolution, challenges and research agenda. Int. J. Inf. Manag. 48, 63\u201371 (2019). https:\/\/doi.org\/10.1016\/j.ijinfomgt.2019.01.021","journal-title":"Int. J. Inf. Manag."},{"doi-asserted-by":"crossref","unstructured":"Rajan, K., Saffiotti, A.: Towards a science of integrated AI and Robotics. Elsevier (2017)","key":"22_CR32","DOI":"10.1016\/j.artint.2017.03.003"},{"unstructured":"Herzig, A., Lorini, E., Pearce, D.: Social intelligence. Springer (2019)","key":"22_CR33"},{"doi-asserted-by":"publisher","unstructured":"Alamaniotis, M., Tsoukalas, L.H.: Neuro-SVM anticipatory system for online monitoring of radiation and abrupt change detection. Int. J. Monit. Surveill. Technol. Res. IJMSTR. 1, 40\u201353 (2013). https:\/\/doi.org\/10.4018\/ijmstr.2013040103","key":"22_CR34","DOI":"10.4018\/ijmstr.2013040103"},{"key":"22_CR35","doi-asserted-by":"publisher","first-page":"69","DOI":"10.4018\/ijmstr.2013010105","volume":"1","author":"K McCoy","year":"2013","unstructured":"McCoy, K., Alamaniotis, M., Jevremovic, T.: A conceptual model for integrative monitoring of nuclear power plants operational activities based on historical nuclear incidents and accidents. Int. J. Monit. Surveill. Technol. Res. IJMSTR. 1, 69\u201381 (2013). https:\/\/doi.org\/10.4018\/ijmstr.2013010105","journal-title":"Int. J. Monit. Surveill. Technol. Res. IJMSTR."},{"doi-asserted-by":"publisher","unstructured":"Lee, D., Kim, J.: Autonomous algorithm for safety systems of the nuclear power plant by using the deep learning. In: Advances in Human Factors in Energy: Oil, Gas, Nuclear and Electric Power Industries: Proceedings of the AHFE 2017 International Conference on Human Factors in Energy: Oil, Gas, Nuclear and Electric Power Industries, July 17\u201321, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA, vol. 8, pp. 72\u201382. Springer (2018).\u00a0https:\/\/doi.org\/10.1007\/978-3-319-60204-2_8","key":"22_CR36","DOI":"10.1007\/978-3-319-60204-2_8"},{"key":"22_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.pnucene.2019.103236","volume":"121","author":"HA Saeed","year":"2020","unstructured":"Saeed, H.A., Wang, H., Peng, M., Hussain, A., Nawaz, A.: Online fault monitoring based on deep neural network & sliding window technique. Prog. Nucl. Energy. 121, 103236 (2020). https:\/\/doi.org\/10.1016\/j.pnucene.2019.103236","journal-title":"Prog. Nucl. Energy."},{"doi-asserted-by":"crossref","unstructured":"Quan, Y., Yang, X.: A method for alarming water level of boiler drum on nuclear power plant based on BP neural network. In: 2014 10th International Conference on Natural Computation (ICNC), pp. 83\u201387. IEEE (2014)","key":"22_CR38","DOI":"10.1109\/ICNC.2014.6975814"},{"unstructured":"Hanna, B., Son, T.C., Dinh, N.: An artificial intelligence-guided decision support system for the nuclear power plant management. In: Proceedings of the 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH 2019) (2019)","key":"22_CR39"},{"unstructured":"Lazar, J., Feng, J.H., Hochheiser, H.: Research methods in human-computer interaction. Morgan Kaufmann (2017)","key":"22_CR40"},{"unstructured":"Salda\u00f1a, J.: The coding manual for qualitative researchers. Coding Man. Qual. Res. 1\u2013440 (2021)","key":"22_CR41"},{"unstructured":"Bhattacherjee, A.: Social science research: Principles, methods, and practices (2012)","key":"22_CR42"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in HCI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35894-4_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T21:17:29Z","timestamp":1729718249000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35894-4_22"}},"subtitle":["An Explorative Study Regarding How AI Could Assist Operators in the Main Control Room of Nuclear Power Plants"],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031358937","9783031358944"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35894-4_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"9 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7472","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1578","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"396","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}