{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T05:10:54Z","timestamp":1763615454183,"version":"3.45.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031938443"},{"type":"electronic","value":"9783031938450"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-93845-0_24","type":"book-chapter","created":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T00:39:14Z","timestamp":1748651954000},"page":"347-361","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Integrated Eye-Tracker-Computer System for\u00a0Operator Competency Assessment"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5908-6414","authenticated-orcid":false,"given":"Yang","family":"Gao","sequence":"first","affiliation":[]},{"given":"Shan","family":"Fu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,1]]},"reference":[{"issue":"5","key":"24_CR1","doi-asserted-by":"publisher","first-page":"1980","DOI":"10.3758\/s13428-020-01364-w","volume":"52","author":"J Cegarra","year":"2020","unstructured":"Cegarra, J., Val\u00e9ry, B., Avril, E., Calmettes, C., Navarro, J.: OpenMATB: a multi-attribute task battery promoting task customization, software extensibility and experiment replicability. Behav. Res. Meth. 52(5), 1980\u20131990 (2020). https:\/\/doi.org\/10.3758\/s13428-020-01364-w","journal-title":"Behav. Res. Meth."},{"key":"24_CR2","unstructured":"Comstock, J.R., Arnegard, R.J.: The multi-attribute task battery for human operator workload and strategic behavior research. Technical report, NAS 1.15:104174, January 1992"},{"issue":"1","key":"24_CR3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1177\/0018720816681350","volume":"59","author":"MR Endsley","year":"2017","unstructured":"Endsley, M.R.: From here to autonomy. Hum. Factors 59(1), 5\u201327 (2017). https:\/\/doi.org\/10.1177\/0018720816681350","journal-title":"Hum. Factors"},{"key":"24_CR4","doi-asserted-by":"publisher","unstructured":"Gao, H., Kasneci, E.: Exploring eye tracking as a measure for cognitive load detection in VR locomotion. In: Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, Glasgow, United Kingdom, June 2024, pp.\u00a01\u20133. ACM (2024). https:\/\/doi.org\/10.1145\/3649902.3655644","DOI":"10.1145\/3649902.3655644"},{"key":"24_CR5","doi-asserted-by":"publisher","unstructured":"Harisinghani, A., et al.: Classification of Alzheimer\u2019s using Deep-Learning methods on webcam-based gaze data. Proc. ACM Hum. Comput. Interact. 7(ETRA), 157:1\u2013157:17 (2023). https:\/\/doi.org\/10.1145\/3591126","DOI":"10.1145\/3591126"},{"issue":"3","key":"24_CR6","doi-asserted-by":"publisher","first-page":"1387","DOI":"10.3758\/s13428-019-01305-2","volume":"52","author":"B Hosp","year":"2020","unstructured":"Hosp, B., Eivazi, S., Maurer, M., Fuhl, W., Geisler, D., Kasneci, E.: RemoteEye: an open-source high-speed remote eye tracker. Behav. Res. Meth. 52(3), 1387\u20131401 (2020). https:\/\/doi.org\/10.3758\/s13428-019-01305-2","journal-title":"Behav. Res. Meth."},{"key":"24_CR7","doi-asserted-by":"publisher","unstructured":"Jen, C.L., Chen, Y.L., Lin, Y.J., Lee, C.H., Tsai, A., Li, M.T.: Vision based wearable eye-gaze tracking system. In: 2016 IEEE International Conference on Consumer Electronics (ICCE), January 2016, pp. 202\u2013203 (2016). https:\/\/doi.org\/10.1109\/ICCE.2016.7430580","DOI":"10.1109\/ICCE.2016.7430580"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Krafka, K., et al.: Eye tracking for everyone. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2176\u20132184 (2016)","DOI":"10.1109\/CVPR.2016.239"},{"key":"24_CR9","doi-asserted-by":"publisher","first-page":"102835","DOI":"10.1016\/j.autcon.2019.102835","volume":"105","author":"J Li","year":"2019","unstructured":"Li, J., Li, H., Wang, H., Umer, W., Fu, H., Xing, X.: Evaluating the impact of mental fatigue on construction equipment operators\u2019 ability to detect hazards using wearable eye-tracking technology. Autom. Constr. 105, 102835 (2019). https:\/\/doi.org\/10.1016\/j.autcon.2019.102835","journal-title":"Autom. Constr."},{"key":"24_CR10","doi-asserted-by":"publisher","unstructured":"Li, P., Hou, X., Wei, L., Song, G., Duan, X.: Efficient and low-cost deep-learning based gaze estimator for surgical robot control. In: 2018 IEEE International Conference on Real-Time Computing and Robotics (RCAR), August 2018, pp. 58\u201363 (2018). https:\/\/doi.org\/10.1109\/RCAR.2018.8621810","DOI":"10.1109\/RCAR.2018.8621810"},{"key":"24_CR11","doi-asserted-by":"publisher","unstructured":"Lienhart, R., Maydt, J.: An extended set of Haar-like features for rapid object detection. In: Proceedings of the International Conference on Image Processing, September 2002, vol.\u00a01, p.\u00a0I (2002). https:\/\/doi.org\/10.1109\/ICIP.2002.1038171","DOI":"10.1109\/ICIP.2002.1038171"},{"issue":"1","key":"24_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1037\/h0034092","volume":"28","author":"DC McClelland","year":"1973","unstructured":"McClelland, D.C.: Testing for competence rather than for \u201cintelligence\u2019\u2019. Am. Psychol. 28(1), 1\u201314 (1973). https:\/\/doi.org\/10.1037\/h0034092","journal-title":"Am. Psychol."},{"key":"24_CR13","doi-asserted-by":"publisher","unstructured":"Nguyen, V.D., Bailey, R., Diaz, G.J., Ma, C., Fix, A., Ororbia, A.: Deep domain adaptation: a Sim2Real neural approach for improving eye-tracking systems. Proc. ACM Comput. Graph. Interact. Tech. 7(2), 25:1\u201325:17 (2024). https:\/\/doi.org\/10.1145\/3654703","DOI":"10.1145\/3654703"},{"key":"24_CR14","doi-asserted-by":"publisher","unstructured":"Poole, A., Ball, L.J.: Eye tracking in HCI and usability research. In: Encyclopedia of Human Computer Interaction, pp. 211\u2013219. IGI Global Scientific Publishing (2006). https:\/\/doi.org\/10.4018\/978-1-59140-562-7.ch034","DOI":"10.4018\/978-1-59140-562-7.ch034"},{"key":"24_CR15","doi-asserted-by":"publisher","unstructured":"Russo, A., Cardoso\u00a0Junior, M., Villani, E.: Eye-tracking analysis to assess the mental load of unmanned aerial system operators: systematic review and future directions. Aeronaut. J., 1\u201330 (2024). https:\/\/doi.org\/10.1017\/aer.2024.122","DOI":"10.1017\/aer.2024.122"},{"issue":"4","key":"24_CR16","doi-asserted-by":"publisher","first-page":"1070","DOI":"10.3390\/s24041070","volume":"24","author":"K Shen","year":"2024","unstructured":"Shen, K., Li, Y., Guo, Z., Gao, J., Wu, Y.: Model-based 3D gaze estimation using a TOF camera. Sensors 24(4), 1070 (2024). https:\/\/doi.org\/10.3390\/s24041070","journal-title":"Sensors"},{"key":"24_CR17","doi-asserted-by":"publisher","unstructured":"Wu, J., Yang, Z., Liu, J., Chi, J.: A new eyeball optical axis reconstruction method for head-mounted eye-tracking system. In: Batista, P., Bilas\u00a0Pachori, R. (eds.) International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2023, Changsha, China, June 2023, p.\u00a046. SPIE (2023). https:\/\/doi.org\/10.1117\/12.2680971","DOI":"10.1117\/12.2680971"},{"issue":"6","key":"24_CR18","doi-asserted-by":"publisher","first-page":"1630","DOI":"10.11834\/jig.230039","volume":"28","author":"J Xu","year":"2023","unstructured":"Xu, J., et al.: Review on optical visual sensor technology. J. Image Graph. 28(6), 1630\u20131661 (2023). https:\/\/doi.org\/10.11834\/jig.230039","journal-title":"J. Image Graph."},{"issue":"11","key":"24_CR19","doi-asserted-by":"publisher","first-page":"2295","DOI":"10.1007\/s11432-011-4243-6","volume":"54","author":"C Zhang","year":"2011","unstructured":"Zhang, C., Chi, J., Zhang, Z., Gao, X., Hu, T., Wang, Z.: Gaze estimation in a gaze tracking system. Sci. China Inf. Sci. 54(11), 2295\u20132306 (2011). https:\/\/doi.org\/10.1007\/s11432-011-4243-6","journal-title":"Sci. China Inf. Sci."},{"key":"24_CR20","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Cai, Q.: Improving cross-ratio-based eye tracking techniques by leveraging the binocular fixation constraint. In: Proceedings of the Symposium on Eye Tracking Research and Applications, Safety Harbor Florida, March 2014, pp. 267\u2013270. ACM (2014). https:\/\/doi.org\/10.1145\/2578153.2578202","DOI":"10.1145\/2578153.2578202"},{"issue":"13","key":"24_CR21","doi-asserted-by":"publisher","first-page":"134204","DOI":"10.7498\/aps.62.134204","volume":"62","author":"Z Tai-Ning","year":"2013","unstructured":"Tai-Ning, Z., Chun-Ning, M., Run-Bei, L., Sheng-Jiang, C.: Eye gaze tracking based on dark pupil image. Acta Physica Sinica 62(13), 134204 (2013). https:\/\/doi.org\/10.7498\/aps.62.134204","journal-title":"Acta Physica Sinica"}],"container-title":["Lecture Notes in Computer Science","Human-Computer Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-93845-0_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T04:37:43Z","timestamp":1763613463000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-93845-0_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031938443","9783031938450"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-93845-0_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"1 June 2025","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":"Gothenburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","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":"22 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2025.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}