{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T09:09:00Z","timestamp":1787908140555,"version":"build-2784847793"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","funder":[{"name":"Science Foundation of the Jiangxi Province of China","award":["20232BAB202023"],"award-info":[{"award-number":["20232BAB202023"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62262024, U24A20220"],"award-info":[{"award-number":["62262024, U24A20220"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,13]]},"DOI":"10.1145\/3716553.3750777","type":"proceedings-article","created":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:13:16Z","timestamp":1760188396000},"page":"405-414","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["MERD-360VR: A Multimodal Emotional Response Dataset from 360\u00b0 VR Videos Across Different Age Groups"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3642-8119","authenticated-orcid":false,"given":"Qiang","family":"Chen","sequence":"first","affiliation":[{"name":"Jiangxi Provincial Key Laboratory of Multimedia Intelligent Processing, Jiangxi University of Finance and Economics, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9310-7024","authenticated-orcid":false,"given":"Shikun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Jiangxi Provincial Key Laboratory of Multimedia Intelligent Processing, Jiangxi University of Finance and Economics, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6946-3586","authenticated-orcid":false,"given":"Yuming","family":"Fang","sequence":"additional","affiliation":[{"name":"Jiangxi Provincial Key Laboratory of Multimedia Intelligent Processing, Jiangxi University of Finance and Economics, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9872-5844","authenticated-orcid":false,"given":"Dan","family":"Luo","sequence":"additional","affiliation":[{"name":"The School of Computing and Artificial Intelligence Jiangxi University of Finance and Economics, Jiangxi University of Finance and Economics, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1036-1988","authenticated-orcid":false,"given":"Tingsong","family":"Lu","sequence":"additional","affiliation":[{"name":"Jiangxi Provincial Key Laboratory of Multimedia Intelligent Processing, Jiangxi University of Finance and Economics, Nanchang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,10,12]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"Mohammed Isam\u00a0Mohammed Abdel-Magid. 2017. The tree of emotions: Exploring the relationships of basic human emotions. International Journal of Indian Psychology 5 1 (2017) 22\u201337.","DOI":"10.25215\/0501.123"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/HORA49412.2020.9152604"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"John\u00a0J Bartko. 1966. The intraclass correlation coefficient as a measure of reliability. Psychological reports 19 1 (1966) 3\u201311.","DOI":"10.2466\/pr0.1966.19.1.3"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/SiPS.2016.27"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123347"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Phillip Brown Pieter Spronck and Wendy Powell. 2022. The simulator sickness questionnaire and the erroneous zero baseline assumption. Frontiers in Virtual Reality 3 (2022) 945800.","DOI":"10.3389\/frvir.2022.945800"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/1027933.1027968"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Hui-Ling Chan Po-Chih Kuo Chia-Yi Cheng and Yong-Sheng Chen. 2018. Challenges and future perspectives on electroencephalogram-based biometrics in person recognition. Frontiers in neuroinformatics 12 (2018) 66.","DOI":"10.3389\/fninf.2018.00066"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Padraig Cunningham and Sarah\u00a0Jane Delany. 2021. K-nearest neighbour classifiers-a tutorial. ACM computing surveys (CSUR) 54 6 (2021) 1\u201325.","DOI":"10.1145\/3459665"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3204949.3208139"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"Amita Dessai and Hassanali Virani. 2023. Emotion Classification Based on CWT of ECG and GSR Signals Using Various CNN Models. Electronics 12 13 (2023) 2795.","DOI":"10.3390\/electronics12132795"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2017.8273607"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2013.19"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Shkurta Gashi Elena Di\u00a0Lascio Bianca Stancu Vedant\u00a0Das Swain Varun Mishra Martin Gjoreski and Silvia Santini. 2020. Detection of artifacts in ambulatory electrodermal activity data. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 4 2 (2020) 1\u201331.","DOI":"10.1145\/3397316"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Hanyoung Go and Myunghwa Kang. 2023. Metaverse tourism for sustainable tourism development: Tourism agenda 2030. Tourism Review 78 2 (2023) 381\u2013394.","DOI":"10.1108\/TR-02-2022-0102"},{"key":"e_1_3_3_1_17_2","first-page":"184","volume-title":"Virtual, Augmented and Mixed Reality: Applications in Health, Cultural Heritage, and Industry: 10th International Conference, VAMR 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part II 10","author":"G\u00f6dde Michael","year":"2018","unstructured":"Michael G\u00f6dde, Frank Gabler, Dirk Siegmund, and Andreas Braun. 2018. Cinematic narration in VR\u2013rethinking film conventions for 360 degrees. In Virtual, Augmented and Mixed Reality: Applications in Health, Cultural Heritage, and Industry: 10th International Conference, VAMR 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part II 10. Springer, 184\u2013201."},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Muhammad\u00a0Anas Hasnul Nor\u00a0Azlina Ab.\u00a0Aziz and Azlan Abd.\u00a0Aziz. 2023. Augmenting ECG data with multiple filters for a better emotion recognition system. Arabian Journal for Science and Engineering 48 8 (2023) 10313\u201310334.","DOI":"10.1007\/s13369-022-07585-9"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"Benjamin\u00a0J Li Jeremy\u00a0N Bailenson Adam Pines Walter\u00a0J Greenleaf and Leanne\u00a0M Williams. 2017. A public database of immersive VR videos with corresponding ratings of arousal valence and correlations between head movements and self report measures. Frontiers in psychology 8 (2017) 2116.","DOI":"10.3389\/fpsyg.2017.02116"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3083187.3083219"},{"key":"e_1_3_3_1_21_2","first-page":"1170","volume-title":"IJCAI","author":"Lu Yifei","year":"2015","unstructured":"Yifei Lu, Wei-Long Zheng, Binbin Li, and Bao-Liang Lu. 2015. Combining Eye Movements and EEG to Enhance Emotion Recognition.. In IJCAI , Vol.\u00a015. Buenos Aires, 1170\u20131176."},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"crossref","unstructured":"Aline Menin Rafael Torchelsen and Luciana Nedel. 2018. An analysis of VR technology used in immersive simulations with a serious game perspective. IEEE computer graphics and applications 38 2 (2018) 57\u201373.","DOI":"10.1109\/MCG.2018.021951633"},{"key":"e_1_3_3_1_23_2","first-page":"291","volume-title":"7th scientific conference on information technologies for intelligent decision making support (ITIDS 2019)","author":"Mohsin Manshad\u00a0Abbasi","year":"2019","unstructured":"Manshad\u00a0Abbasi Mohsin and Anatoly Beltiukov. 2019. Summarizing emotions from text using Plutchik\u2019s wheel of emotions. In 7th scientific conference on information technologies for intelligent decision making support (ITIDS 2019). Atlantis Press, 291\u2013294."},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Frederik Nagel Reinhard Kopiez Oliver Grewe and Eckart Altenm\u00fcller. 2007. EMuJoy: Software for continuous measurement of perceived emotions in music. Behavior Research Methods 39 2 (2007) 283\u2013290.","DOI":"10.3758\/BF03193159"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"crossref","unstructured":"Labake Odushegun. 2023. Aesthetic semantics: Affect rating of atomic visual web aesthetics for use in affective user experience design. International Journal of Human-Computer Studies 171 (2023) 102978.","DOI":"10.1016\/j.ijhcs.2022.102978"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"Faruk\u00a0Enes O\u011fuz Ahmet Alkan and Thorsten Sch\u00f6ler. 2023. Emotion detection from ECG signals with different learning algorithms and automated feature engineering. Signal Image and Video Processing 17 7 (2023) 3783\u20133791.","DOI":"10.1007\/s11760-023-02606-y"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Edward\u00a0F Pace-Schott Marlissa\u00a0C Amole Tatjana Aue Michela Balconi Lauren\u00a0M Bylsma Hugo Critchley Heath\u00a0A Demaree Bruce\u00a0H Friedman Anne Elizabeth\u00a0Kotynski Gooding Olivia Gosseries et\u00a0al. 2019. Physiological feelings. Neuroscience & Biobehavioral Reviews 103 (2019) 267\u2013304.","DOI":"10.1016\/j.neubiorev.2019.05.002"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Varsha\u00a0Kiran Patil Vijaya\u00a0R Pawar Shreiya Randive Rutika\u00a0Rajesh Bankar Dhanashree Yende and Aditya\u00a0Kiran Patil. 2023. From face detection to emotion recognition on the framework of Raspberry pi and galvanic skin response sensor for visual and physiological biosignals. Journal of Electrical Systems and Information Technology 10 1 (2023) 24.","DOI":"10.1186\/s43067-023-00085-2"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"Anders Petersen and Ole\u00a0Jacob Madsen. 2017. Depression: Diagnosis and suffering as process. Nordic Psychology 69 1 (2017) 19\u201332.","DOI":"10.1080\/19012276.2016.1267913"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858117"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"crossref","unstructured":"Minglang Qiao Mai Xu Zulin Wang and Ali Borji. 2020. Viewport-dependent saliency prediction in 360 video. IEEE Transactions on Multimedia 23 (2020) 748\u2013760.","DOI":"10.1109\/TMM.2020.2987682"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"crossref","unstructured":"Giuseppe Riva Fabrizia Mantovani Claret\u00a0Samantha Capideville Alessandra Preziosa Francesca Morganti Daniela Villani Andrea Gaggioli Cristina Botella and Mariano Alca\u00f1iz. 2007. Affective interactions using virtual reality: the link between presence and emotions. Cyberpsychology & behavior 10 1 (2007) 45\u201356.","DOI":"10.1089\/cpb.2006.9993"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"crossref","unstructured":"Mehmet\u00a0Cenk Sezgin Bilge Gunsel and Gunes\u00a0Karabulut Kurt. 2012. Perceptual audio features for emotion detection. EURASIP Journal on Audio Speech and Music Processing 2012 (2012) 1\u201321.","DOI":"10.1186\/1687-4722-2012-16"},{"key":"e_1_3_3_1_34_2","unstructured":"Yan-Yan Song and LU Ying. 2015. Decision tree methods: applications for classification and prediction. Shanghai archives of psychiatry 27 2 (2015) 130."},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"crossref","unstructured":"Jaime\u00a0Lynn Speiser Michael\u00a0E Miller Janet Tooze and Edward Ip. 2019. A comparison of random forest variable selection methods for classification prediction modeling. Expert systems with applications 134 (2019) 93\u2013101.","DOI":"10.1016\/j.eswa.2019.05.028"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"crossref","unstructured":"Nazmi\u00a0Sofian Suhaimi James Mountstephens and Jason Teo. 2022. A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets. Big Data and Cognitive Computing 6 1 (2022) 16.","DOI":"10.3390\/bdcc6010016"},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"crossref","unstructured":"Luma Tabbaa Ryan Searle Saber\u00a0Mirzaee Bafti Md\u00a0Moinul Hossain Jittrapol Intarasisrisawat Maxine Glancy and Chee\u00a0Siang Ang. 2021. VREED: Virtual reality emotion recognition dataset using eye tracking & physiological measures. Proceedings of the ACM on interactive mobile wearable and ubiquitous technologies 5 4 (2021) 1\u201320.","DOI":"10.1145\/3495002"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX48832.2020.9123126"},{"key":"e_1_3_3_1_39_2","doi-asserted-by":"crossref","unstructured":"Alexander Toet Fabienne Heijn Anne-Marie Brouwer Tina Mioch and Jan\u00a0BF van Erp. 2020. An immersive self-report tool for the affective appraisal of 360 VR videos. Frontiers in Virtual Reality 1 (2020) 552587.","DOI":"10.3389\/frvir.2020.552587"},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i2.19105"},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"crossref","unstructured":"Minchao Wu Wei Teng Cunhang Fan Shengbing Pei Ping Li and Zhao Lv. 2023. An investigation of olfactory-enhanced video on EEG-based emotion recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering 31 (2023) 1602\u20131613.","DOI":"10.1109\/TNSRE.2023.3253866"},{"key":"e_1_3_3_1_42_2","doi-asserted-by":"crossref","unstructured":"Mai Xu Chen Li Shanyi Zhang and Patrick Le\u00a0Callet. 2020. State-of-the-art in 360 video\/image processing: Perception assessment and compression. IEEE Journal of Selected Topics in Signal Processing 14 1 (2020) 5\u201326.","DOI":"10.1109\/JSTSP.2020.2966864"},{"key":"e_1_3_3_1_43_2","doi-asserted-by":"crossref","unstructured":"Mai Xu Yuhang Song Jianyi Wang MingLang Qiao Liangyu Huo and Zulin Wang. 2018. Predicting head movement in panoramic video: A deep reinforcement learning approach. IEEE transactions on pattern analysis and machine intelligence 41 11 (2018) 2693\u20132708.","DOI":"10.1109\/TPAMI.2018.2858783"},{"key":"e_1_3_3_1_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411763.3451627"},{"key":"e_1_3_3_1_45_2","doi-asserted-by":"crossref","unstructured":"Tong Xue Abdallah El\u00a0Ali Tianyi Zhang Gangyi Ding and Pablo Cesar. 2021. CEAP-360VR: A Continuous Physiological and Behavioral Emotion Annotation Dataset for 360\u00b0 VR Videos. IEEE Transactions on Multimedia 25 (2021) 243\u2013255.","DOI":"10.1109\/TMM.2021.3124080"},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"crossref","unstructured":"Dongri Yang Abeer Alsadoon PW\u00a0Chandana Prasad Ashutosh\u00a0Kumar Singh and Amr Elchouemi. 2018. An emotion recognition model based on facial recognition in virtual learning environment. Procedia Computer Science 125 (2018) 2\u201310.","DOI":"10.1016\/j.procs.2017.12.003"},{"key":"e_1_3_3_1_47_2","doi-asserted-by":"crossref","unstructured":"Shanbin Zhang Guangyuan Liu and Xiangwei Lai. 2015. Classification of evoked emotions using an artificial neural network based on single short-term physiological signals. Journal of Advanced Computational Intelligence and Intelligent Informatics 19 1 (2015) 118\u2013126.","DOI":"10.20965\/jaciii.2015.p0118"},{"key":"e_1_3_3_1_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376808"},{"key":"e_1_3_3_1_49_2","doi-asserted-by":"publisher","DOI":"10.1109\/SmartWorld.2018.00091"},{"key":"e_1_3_3_1_50_2","doi-asserted-by":"crossref","unstructured":"Ling Zhu and Jiufang Lv. 2023. Review of studies on user research based on EEG and eye tracking. Applied Sciences 13 11 (2023) 6502.","DOI":"10.3390\/app13116502"}],"event":{"name":"ICMI '25: International Conference on Multimodal Interaction","location":"Canberra Australia","acronym":"ICMI '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 27th International Conference on Multimodal Interaction"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3716553.3750777","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T22:29:09Z","timestamp":1769466549000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3716553.3750777"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,12]]},"references-count":49,"alternative-id":["10.1145\/3716553.3750777","10.1145\/3716553"],"URL":"https:\/\/doi.org\/10.1145\/3716553.3750777","relation":{},"subject":[],"published":{"date-parts":[[2025,10,12]]},"assertion":[{"value":"2025-10-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}