{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T06:38:38Z","timestamp":1781332718077,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":83,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Guangzhou-HKUST(GZ) Joint Funding Project","award":["2024A03J0617"],"award-info":[{"award-number":["2024A03J0617"]}]},{"name":"Guangzhou Science and Technology Program City-University Joint Funding Project","award":["2023A03J0001"],"award-info":[{"award-number":["2023A03J0001"]}]},{"name":"the Project of DEGP","award":["2023KCXTD042"],"award-info":[{"award-number":["2023KCXTD042"]}]},{"name":"Guangdong Provincial Key Lab of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things","award":["2023B1212010007"],"award-info":[{"award-number":["2023B1212010007"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,26]]},"DOI":"10.1145\/3706598.3713677","type":"proceedings-article","created":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T03:20:47Z","timestamp":1745464847000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Designing LLM-Powered Multimodal Instructions to Support Rich Hands-on Skills Remote Learning: A Case Study with Massage Instructors and Learners"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4156-6273","authenticated-orcid":false,"given":"Chutian","family":"Jiang","sequence":"first","affiliation":[{"name":"Computational Media and Arts Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0381-5793","authenticated-orcid":false,"given":"Yinan","family":"Fan","sequence":"additional","affiliation":[{"name":"Division of Emerging Interdisciplinary Areas, The Hong Kong University of Science and Technology, Hong Kong, China and Smart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8201-8563","authenticated-orcid":false,"given":"Junan","family":"Xie","sequence":"additional","affiliation":[{"name":"Computational Media and Arts Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4635-0703","authenticated-orcid":false,"given":"Emily","family":"Kuang","sequence":"additional","affiliation":[{"name":"Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8577-2096","authenticated-orcid":false,"given":"Baichuan","family":"Feng","sequence":"additional","affiliation":[{"name":"Smart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4804-3715","authenticated-orcid":false,"given":"Kaihao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Smart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China and Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0356-4712","authenticated-orcid":false,"given":"Mingming","family":"Fan","sequence":"additional","affiliation":[{"name":"Computational Media and Arts Thrust & Internet of Things Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China and Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","unstructured":"Bashaer Alsafari Eric Atwell Aisha Walker and Martin Callaghan. 2024. Towards effective teaching assistants: From intent-based chatbots to LLM-powered teaching assistants. Natural Language Processing Journal 8 (2024) 100101. 10.1016\/j.nlp.2024.100101","DOI":"10.1016\/j.nlp.2024.100101"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","unstructured":"David Baidoo-anu and Leticia Owusu\u00a0Ansah. 2023. Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. Journal of AI 7 1 (2023) 52\u201362. 10.61969\/jai.1337500","DOI":"10.61969\/jai.1337500"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","unstructured":"Amanda Baskwill. 2023. Navigating Generative AI: Opportunities Limitations and Ethical Considerations in Massage Therapy and Beyond. International Journal of Therapeutic Massage & Bodywork 16 4 (2023) 1. 10.3822\/ijtmb.v16i4.949","DOI":"10.3822\/ijtmb.v16i4.949"},{"key":"e_1_3_3_2_5_2","volume-title":"Press Here! Massage for Beginners","author":"Beider Rachel","year":"2022","unstructured":"Rachel Beider. 2022. Press Here! Massage for Beginners. Fair Winds Press."},{"key":"e_1_3_3_2_6_2","volume-title":"A taxonomy for learning, teaching, and assessing: A revision of Bloom\u2019s taxonomy of educational objectives","author":"Bloom Benjamin\u00a0Samuel","year":"2010","unstructured":"Benjamin\u00a0Samuel Bloom. 2010. A taxonomy for learning, teaching, and assessing: A revision of Bloom\u2019s taxonomy of educational objectives. Longman."},{"key":"e_1_3_3_2_7_2","first-page":"858","volume-title":"Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)","author":"Brants Thorsten","year":"2007","unstructured":"Thorsten Brants, Ashok Popat, Peng Xu, Franz\u00a0Josef Och, and Jeffrey Dean. 2007. Large language models in machine translation. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL). 858\u2013867. https:\/\/aclanthology.org\/D07-1090.pdf [Last accessed: 27\/01\/2025]."},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","unstructured":"Larike\u00a0H Bronkhorst Paulien\u00a0C Meijer Bob Koster and Jan\u00a0D Vermunt. 2014. Deliberate practice in teacher education. European Journal of Teacher Education 37 1 (2014) 18\u201334. 10.1080\/02619768.2013.825242","DOI":"10.1080\/02619768.2013.825242"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","unstructured":"Zana Bu\u00e7inca Maja\u00a0Barbara Malaya and Krzysztof\u00a0Z. Gajos. 2021. To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making. Proc. ACM Hum.-Comput. Interact. 5 CSCW1 (April 2021) 188:1\u2013188:21. 10.1145\/3449287","DOI":"10.1145\/3449287"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"William Cai Josh Grossman Zhiyuan\u00a0Jerry Lin Hao Sheng Johnny Tian-Zheng Wei Joseph\u00a0Jay Williams and Sharad Goel. 2021. Bandit algorithms to personalize educational chatbots. Machine Learning 110 9 (2021) 2389\u20132418.","DOI":"10.1007\/s10994-021-05983-y"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491101.3519639"},{"key":"e_1_3_3_2_12_2","unstructured":"Bei Chen Fengji Zhang Anh Nguyen Daoguang Zan Zeqi Lin Jian-Guang Lou and Weizhu Chen. 2022. CodeT: Code Generation with Generated Tests. arxiv:https:\/\/arXiv.org\/abs\/2207.10397\u00a0[cs.CL]"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Minrui Chen Weifeng Luo Zhongqi Xu Xueping Zhang Bo Xie Guanghou Wang and Min Han. 2019. An ultrahigh resolution pressure sensor based on percolative metal nanoparticle arrays. Nature communications 10 1 (2019) 4024. https:\/\/www.nature.com\/articles\/s41467-019-12030-x.pdf [Last accessed: 27\/01\/2025].","DOI":"10.1038\/s41467-019-12030-x"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3526113.3545644"},{"key":"e_1_3_3_2_15_2","unstructured":"Neil Chulpongsatorn Thien-Kim Nguyen Nicolai Marquardt and Ryo Suzuki. 2024. HoloDevice: Holographic Cross-Device Interactions for Remote Collaboration. arxiv:https:\/\/arXiv.org\/abs\/2405.19377\u00a0[cs.HC]"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","unstructured":"Juliet\u00a0M Corbin and Anselm Strauss. 1990. Grounded theory research: Procedures canons and evaluative criteria. Qualitative sociology 13 1 (1990) 3\u201321. 10.1007\/BF00988593","DOI":"10.1007\/BF00988593"},{"key":"e_1_3_3_2_17_2","unstructured":"Yuhao Dan Zhikai Lei Yiyang Gu Yong Li Jianghao Yin Jiaju Lin Linhao Ye Zhiyan Tie Yougen Zhou Yilei Wang Aimin Zhou Ze Zhou Qin Chen Jie Zhou Liang He and Xipeng Qiu. 2023. EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education. arxiv:https:\/\/arXiv.org\/abs\/2308.02773\u00a0[cs.CL]"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Yaxin Fan Feng Jiang Peifeng Li and Haizhou Li. 2023. GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning. arxiv:https:\/\/arXiv.org\/abs\/2307.13923","DOI":"10.1007\/978-3-031-44699-3_7"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581381"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.2991\/essd-19.2019.51"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","unstructured":"Salome Flegr Jochen Kuhn and Katharina Scheiter. 2023. How to foster STEM learning during Covid-19 remote schooling: Combining virtual and video experiments. Learning and Instruction 86 (2023) 101778. 10.1016\/j.learninstruc.2023.101778","DOI":"10.1016\/j.learninstruc.2023.101778"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445576"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"Mor Geva Ankit Gupta and Jonathan Berant. 2020. Injecting Numerical Reasoning Skills into Language Models. arxiv:https:\/\/arXiv.org\/abs\/2004.04487","DOI":"10.18653\/v1\/2020.acl-main.89"},{"key":"e_1_3_3_2_24_2","volume-title":"Thai massage: a traditional medical technique","author":"Gold Richard","year":"2006","unstructured":"Richard Gold. 2006. Thai massage: a traditional medical technique. Elsevier Health Sciences."},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","unstructured":"Tibor Guzsvinecz Veronika Szucs and Cecilia Sik-Lanyi. 2019. Suitability of the Kinect Sensor and Leap Motion Controller\u2014A Literature Review. Sensors 19 5 (2019). 10.3390\/s19051072","DOI":"10.3390\/s19051072"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3041164.3041194"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","unstructured":"Meng He Chen Qiu Zhanghua Liao Zhongquan Sui and Harold Corke. 2018. Impact of cooking conditions on the properties of rice: Combined temperature and cooking time. International Journal of Biological Macromolecules 117 (2018) 87\u201394. 10.1016\/j.ijbiomac.2018.05.139","DOI":"10.1016\/j.ijbiomac.2018.05.139"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445283"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"publisher","unstructured":"Lei Huang Weijiang Yu Weitao Ma Weihong Zhong Zhangyin Feng Haotian Wang Qianglong Chen Weihua Peng Xiaocheng Feng Bing Qin and Ting Liu. 2024. A Survey on Hallucination in Large Language Models: Principles Taxonomy Challenges and Open Questions. ACM Trans. Inf. Syst. (Nov. 2024). 10.1145\/3703155","DOI":"10.1145\/3703155"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606727"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"crossref","unstructured":"Keiichi Ihara Kyzyl Monteiro Mehrad Faridan Rubaiat\u00a0Habib Kazi and Ryo Suzuki. 2024. Video2MR: Automatically Generating Mixed Reality 3D Instructions by Augmenting Extracted Motion from 2D Videos. arxiv:https:\/\/arXiv.org\/abs\/2405.18565\u00a0[cs.HC]","DOI":"10.1145\/3708359.3712159"},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"publisher","unstructured":"Jaekwon Park Jiyoung Bae Unggi Lee Taekyung Ahn Sookbun Lee Dohee Kim Aram Choi Yeil Jeong Jewoong Moon and Hyeoncheol Kim. 2024. How to Align Large Language Models for Teaching English? Designing and Developing LLM based-Chatbot for Teaching English Conversation in EFL Findings and Limitations. (2024). 10.13140\/RG.2.2.13490.82883","DOI":"10.13140\/RG.2.2.13490.82883"},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"crossref","unstructured":"Rahul Jain Jingyu Shi Andrew Benton Moiz Rasheed Hyungjun Doh Subramanian Chidambaram and Karthik Ramani. 2024. Visualizing Causality in Mixed Reality for Manual Task Learning: An Exploratory Study. arxiv:https:\/\/arXiv.org\/abs\/2310.13167\u00a0[cs.HC]","DOI":"10.1109\/TVCG.2025.3542949"},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606793"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"publisher","unstructured":"Chutian Jiang Yanjun Chen Mingming Fan Liuping Wang Luyao Shen Nianlong Li Wei Sun Yu Zhang Feng Tian and Teng Han. 2021. Douleur: Creating Pain Sensation with Chemical Stimulant to Enhance User Experience in Virtual Reality. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 2 Article 66 (June 2021) 26\u00a0pages. 10.1145\/3463527","DOI":"10.1145\/3463527"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642546"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1109\/ECTIDAMTNCON57770.2023.10139348"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"publisher","unstructured":"Enkelejda Kasneci Kathrin Sessler Stefan K\u00fcchemann Maria Bannert Daryna Dementieva Frank Fischer Urs Gasser Georg Groh Stephan G\u00fcnnemann Eyke H\u00fcllermeier Stephan Krusche Gitta Kutyniok Tilman Michaeli Claudia Nerdel J\u00fcrgen Pfeffer Oleksandra Poquet Michael Sailer Albrecht Schmidt Tina Seidel Matthias Stadler Jochen Weller Jochen Kuhn and Gjergji Kasneci. 2023. ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences 103 (2023) 102274. 10.1016\/j.lindif.2023.102274","DOI":"10.1016\/j.lindif.2023.102274"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1145\/3631802.3631806"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642168"},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"crossref","unstructured":"Ehsan Latif Ramviyas Parasuraman and Xiaoming Zhai. 2024. PhysicsAssistant: An LLM-Powered Interactive Learning Robot for Physics Lab Investigations. arxiv:https:\/\/arXiv.org\/abs\/2403.18721\u00a0[cs.RO]","DOI":"10.1109\/RO-MAN60168.2024.10731312"},{"key":"e_1_3_3_2_42_2","unstructured":"Hang Li Tianlong Xu Chaoli Zhang Eason Chen Jing Liang Xing Fan Haoyang Li Jiliang Tang and Qingsong Wen. 2024. Bringing Generative AI to Adaptive Learning in Education. arxiv:https:\/\/arXiv.org\/abs\/2402.14601\u00a0[cs.CY]"},{"key":"e_1_3_3_2_43_2","doi-asserted-by":"publisher","unstructured":"Yihao Li Junyu Long Yun Chen Yan Huang and Ni Zhao. 2022. Crosstalk-Free High-Resolution Pressure Sensor Arrays Enabled by High-Throughput Laser Manufacturing. Advanced Materials 34 21 (2022) 2200517. 10.1002\/adma.202200517","DOI":"10.1002\/adma.202200517"},{"key":"e_1_3_3_2_44_2","volume-title":"American sign language syntax","author":"Liddell Scott\u00a0K","year":"2021","unstructured":"Scott\u00a0K Liddell. 2021. American sign language syntax. Vol.\u00a052. Walter de Gruyter GmbH & Co KG."},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"crossref","unstructured":"Scott\u00a0K Liddell and Robert\u00a0E Johnson. 1989. American sign language: The phonological base. Sign language studies 64 1 (1989) 195\u2013277.","DOI":"10.1353\/sls.1989.0027"},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"publisher","unstructured":"Valentin Li\u00e9vin Christoffer\u00a0Egeberg Hother Andreas\u00a0Geert Motzfeldt and Ole Winther. 2024. Can large language models reason about medical questions? Patterns 5 3 (2024). 10.1016\/j.patter.2024.100943","DOI":"10.1016\/j.patter.2024.100943"},{"key":"e_1_3_3_2_47_2","doi-asserted-by":"publisher","unstructured":"Weikang Lin Biao Wang Guoxiang Peng Yao Shan Hong Hu and Zhengbao Yang. 2021. Skin-inspired piezoelectric tactile sensor array with crosstalk-free row+ column electrodes for spatiotemporally distinguishing diverse stimuli. Advanced Science 8 3 (2021) 2002817. 10.1002\/advs.202002817","DOI":"10.1002\/advs.202002817"},{"key":"e_1_3_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/3626252.3630789"},{"key":"e_1_3_3_2_49_2","unstructured":"Tiedong Liu and Bryan Kian\u00a0Hsiang Low. 2023. Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks. arxiv:https:\/\/arXiv.org\/abs\/2305.14201\u00a0[cs.LG]"},{"key":"e_1_3_3_2_50_2","unstructured":"Haipeng Luo Qingfeng Sun Can Xu Pu Zhao Jianguang Lou Chongyang Tao Xiubo Geng Qingwei Lin Shifeng Chen and Dongmei Zhang. 2023. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. arxiv:https:\/\/arXiv.org\/abs\/2308.09583\u00a0[cs.CL]"},{"key":"e_1_3_3_2_51_2","unstructured":"Ziyang Luo Can Xu Pu Zhao Qingfeng Sun Xiubo Geng Wenxiang Hu Chongyang Tao Jing Ma Qingwei Lin and Daxin Jiang. 2023. WizardCoder: Empowering Code Large Language Models with Evol-Instruct. arxiv:https:\/\/arXiv.org\/abs\/2306.08568\u00a0[cs.CL]"},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPCC46631.2019.8960806"},{"key":"e_1_3_3_2_53_2","unstructured":"Pratyusha Maiti and Ashok\u00a0K. Goel. 2024. How Do Students Interact with an LLM-powered Virtual Teaching Assistant in Different Educational Settings? arxiv:https:\/\/arXiv.org\/abs\/2407.17429\u00a0[cs.CY]"},{"key":"e_1_3_3_2_54_2","doi-asserted-by":"publisher","unstructured":"Atsushi Mizumoto and Masaki Eguchi. 2023. Exploring the potential of using an AI language model for automated essay scoring. Research Methods in Applied Linguistics 2 2 (2023) 100050. 10.1016\/j.rmal.2023.100050","DOI":"10.1016\/j.rmal.2023.100050"},{"key":"e_1_3_3_2_55_2","doi-asserted-by":"publisher","unstructured":"Sritoomma Netchanok Moyle Wendy Cooke Marie and O\u2019Dwyer Siobhan. 2012. The effectiveness of Swedish massage and traditional Thai massage in treating chronic low back pain: A review of the literature. Complementary Therapies in Clinical Practice 18 4 (2012) 227\u2013234. 10.1016\/j.ctcp.2012.07.001","DOI":"10.1016\/j.ctcp.2012.07.001"},{"key":"e_1_3_3_2_56_2","unstructured":"OpenAI. 2023. Models - OpenAI API. https:\/\/platform.openai.com\/docs\/models. [Last accessed: 27\/01\/2025]."},{"key":"e_1_3_3_2_57_2","volume-title":"Teaching and learning in physical therapy: From classroom to clinic","author":"Plack Margaret\u00a0M","year":"2011","unstructured":"Margaret\u00a0M Plack and MaryAnne Driscoll. 2011. Teaching and learning in physical therapy: From classroom to clinic. Slack Incorporated."},{"key":"e_1_3_3_2_58_2","doi-asserted-by":"publisher","unstructured":"Cristina Ram\u00edrez-Fern\u00e1ndez Victoria Meza-Kubo Elo\u00edsa Garc\u00eda-Canseco Alberto\u00a0L Mor\u00e1n Oliver Pabloff David Bonilla and Nirvana Green. 2017. Massage Therapy of the Back Using a Real-Time Haptic-Enhanced Telerehabilitation System. Mobile Information Systems 2017 1 (2017) 5253613. 10.1155\/2017\/5253613","DOI":"10.1155\/2017\/5253613"},{"key":"e_1_3_3_2_59_2","unstructured":"Baptiste Rozi\u00e8re Jonas Gehring Fabian Gloeckle Sten Sootla Itai Gat Xiaoqing\u00a0Ellen Tan Yossi Adi Jingyu Liu Romain Sauvestre Tal Remez J\u00e9r\u00e9my Rapin Artyom Kozhevnikov Ivan Evtimov Joanna Bitton Manish Bhatt Cristian\u00a0Canton Ferrer Aaron Grattafiori Wenhan Xiong Alexandre D\u00e9fossez Jade Copet Faisal Azhar Hugo Touvron Louis Martin Nicolas Usunier Thomas Scialom and Gabriel Synnaeve. 2024. Code Llama: Open Foundation Models for Code. arxiv:https:\/\/arXiv.org\/abs\/2308.12950\u00a0[cs.CL]"},{"key":"e_1_3_3_2_60_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642945"},{"key":"e_1_3_3_2_61_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-70371-3_26"},{"key":"e_1_3_3_2_62_2","doi-asserted-by":"publisher","unstructured":"Nigam\u00a0H Shah David Entwistle and Michael\u00a0A Pfeffer. 2023. Creation and adoption of large language models in medicine. Jama 330 9 (2023) 866\u2013869. 10.1001\/jama.2023.14217","DOI":"10.1001\/jama.2023.14217"},{"key":"e_1_3_3_2_63_2","doi-asserted-by":"publisher","unstructured":"Sudeep Sharma Ashok Chhetry Md Sharifuzzaman Hyosang Yoon and Jae\u00a0Yeong Park. 2020. Wearable capacitive pressure sensor based on MXene composite nanofibrous scaffolds for reliable human physiological signal acquisition. ACS applied materials & interfaces 12 19 (2020) 22212\u201322224. 10.1021\/acsami.0c05819 [Last accessed: 27\/01\/2025].","DOI":"10.1021\/acsami.0c05819"},{"key":"e_1_3_3_2_64_2","doi-asserted-by":"publisher","unstructured":"Yichun Shen Shuyi Wang Yuhan Shen and Hua Xing. 2024. Integrating Traditional Chinese Medicine massage therapy with machine learning: A new trend in future healthcare. (2024). 10.61189\/721472czacxf","DOI":"10.61189\/721472czacxf"},{"key":"e_1_3_3_2_65_2","doi-asserted-by":"publisher","unstructured":"Aldona Sobota and Piotr Zarzycki. 2013. Effect of Pasta Cooking Time on the Content and Fractional Composition of Dietary Fiber. Journal of Food Quality 36 2 (2013) 127\u2013132. 10.1111\/jfq.12023","DOI":"10.1111\/jfq.12023"},{"key":"e_1_3_3_2_66_2","doi-asserted-by":"crossref","unstructured":"Aarohi Srivastava and David Chiang. 2024. We\u2019re Calling an Intervention: Exploring the Fundamental Hurdles in Adapting Language Models to Nonstandard Text. arxiv:https:\/\/arXiv.org\/abs\/2404.07304\u00a0[cs.CL]","DOI":"10.18653\/v1\/2025.wnut-1.6"},{"key":"e_1_3_3_2_67_2","doi-asserted-by":"publisher","DOI":"10.1145\/3206129.3239424"},{"key":"e_1_3_3_2_68_2","doi-asserted-by":"publisher","unstructured":"Xia Sun Shaoshuai He Zhihui Qin Junjie Li and Fanglian Yao. 2021. Fast self-healing zwitterion nanocomposite hydrogel for underwater sensing. Composites Communications 26 (2021) 100784. 10.1016\/j.coco.2021.100784","DOI":"10.1016\/j.coco.2021.100784"},{"key":"e_1_3_3_2_69_2","doi-asserted-by":"publisher","unstructured":"Edi Supriyadi and KS Kuncoro. 2023. Exploring the future of mathematics teaching: Insight with ChatGPT. Union: Jurnal Ilmiah Pendidikan Matematika 11 2 (2023) 305\u2013316. 10.30738\/union.v11i2.14898","DOI":"10.30738\/union.v11i2.14898"},{"key":"e_1_3_3_2_70_2","doi-asserted-by":"publisher","unstructured":"Takashige Suzuki Alarith Uhde Takuto Nakamura Takuji Narumi Tomohiro Amemiya and Hideaki Kuzuoka. 2024. Be sensei my friend: Aikido training with a remotely controlled proxy trainer. Frontiers in Virtual Reality 5 (2024). 10.3389\/frvir.2024.1392635","DOI":"10.3389\/frvir.2024.1392635"},{"key":"e_1_3_3_2_71_2","doi-asserted-by":"publisher","unstructured":"Arun\u00a0James Thirunavukarasu Darren Shu\u00a0Jeng Ting Kabilan Elangovan Laura Gutierrez Ting\u00a0Fang Tan and Daniel Shu\u00a0Wei Ting. 2023. Large language models in medicine. Nature medicine 29 8 (2023) 1930\u20131940. 10.1038\/s41591-023-02448-8","DOI":"10.1038\/s41591-023-02448-8"},{"key":"e_1_3_3_2_72_2","doi-asserted-by":"publisher","DOI":"10.1145\/3332165.3347872"},{"key":"e_1_3_3_2_73_2","doi-asserted-by":"publisher","unstructured":"Rub\u00e9n\u00a0Gil Vera Jos\u00e9 Luis\u00a0L\u00e1zaro Galilea Alfredo\u00a0Gardel Vicente \u00c1lvaro De-La-Llana-Calvo and Ignacio\u00a0Bravo Mu\u00f1oz. 2024. A Flexible Framework for the Deployment of STEM Real Remote Laboratories in Digital Electronics and Control Systems. IEEE Access 12 (2024) 14563\u201314579. 10.1109\/ACCESS.2024.3357991","DOI":"10.1109\/ACCESS.2024.3357991"},{"key":"e_1_3_3_2_74_2","doi-asserted-by":"publisher","unstructured":"Yousef Wardat Mohammad\u00a0A Tashtoush Rommel AlAli and Adeeb\u00a0M Jarrah. 2023. ChatGPT: A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics Science and Technology Education 19 7 (2023) em2286. 10.29333\/ejmste\/13272","DOI":"10.29333\/ejmste\/13272"},{"key":"e_1_3_3_2_75_2","first-page":"24824","volume-title":"Advances in Neural Information Processing Systems","volume":"35","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed Chi, Quoc\u00a0V Le, and Denny Zhou. 2022. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems , S.\u00a0Koyejo, S.\u00a0Mohamed, A.\u00a0Agarwal, D.\u00a0Belgrave, K.\u00a0Cho, and A.\u00a0Oh (Eds.), Vol.\u00a035. Curran Associates, Inc., 24824\u201324837. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2022\/file\/9d5609613524ecf4f15af0f7b31abca4-Paper-Conference.pdf [Last accessed: 27\/01\/2025]."},{"key":"e_1_3_3_2_76_2","volume-title":"Learner-centered teaching: Five key changes to practice","author":"Weimer Maryellen","year":"2013","unstructured":"Maryellen Weimer. 2013. Learner-centered teaching: Five key changes to practice. John Wiley & Sons."},{"key":"e_1_3_3_2_77_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICMA.2005.1626593"},{"key":"e_1_3_3_2_78_2","unstructured":"Yonghui Wu Mike Schuster Zhifeng Chen Quoc\u00a0V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey Jeff Klingner Apurva Shah Melvin Johnson Xiaobing Liu \u0141ukasz Kaiser Stephan Gouws Yoshikiyo Kato Taku Kudo Hideto Kazawa Keith Stevens George Kurian Nishant Patil Wei Wang Cliff Young Jason Smith Jason Riesa Alex Rudnick Oriol Vinyals Greg Corrado Macduff Hughes and Jeffrey Dean. 2016. Google\u2019s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. arxiv:https:\/\/arXiv.org\/abs\/1609.08144\u00a0[cs.CL]"},{"key":"e_1_3_3_2_79_2","doi-asserted-by":"publisher","unstructured":"Xiaona Xia and Wanxue Qi. 2024. Driving STEM learning effectiveness: dropout prediction and intervention in MOOCs based on one novel behavioral data analysis approach. Humanities and Social Sciences Communications 11 1 (2024) 1\u201319. 10.1057\/s41599-024-02882-0","DOI":"10.1057\/s41599-024-02882-0"},{"key":"e_1_3_3_2_80_2","unstructured":"Changrong Xiao Wenxing Ma Qingping Song Sean\u00a0Xin Xu Kunpeng Zhang Yufang Wang and Qi Fu. 2024. Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs. arxiv:https:\/\/arXiv.org\/abs\/2401.06431\u00a0[cs.CL]"},{"key":"e_1_3_3_2_81_2","doi-asserted-by":"publisher","unstructured":"Yuanyuan Yang and Wei Bao. 2023. Application of Human-Computer Interaction Technology in Remote Language Learning Platform. International Journal of Human\u2013Computer Interaction 0 0 (2023) 1\u201311. 10.1080\/10447318.2023.2194709","DOI":"10.1080\/10447318.2023.2194709"},{"key":"e_1_3_3_2_82_2","unstructured":"Longhui Yu Weisen Jiang Han Shi Jincheng Yu Zhengying Liu Yu Zhang James\u00a0T. Kwok Zhenguo Li Adrian Weller and Weiyang Liu. 2024. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. arxiv:https:\/\/arXiv.org\/abs\/2309.12284\u00a0[cs.CL]"},{"key":"e_1_3_3_2_83_2","first-page":"41092","volume-title":"International Conference on Machine Learning","author":"Zhang Biao","year":"2023","unstructured":"Biao Zhang, Barry Haddow, and Alexandra Birch. 2023. Prompting large language model for machine translation: A case study. In International Conference on Machine Learning. PMLR, 41092\u201341110. https:\/\/proceedings.mlr.press\/v202\/zhang23m\/zhang23m.pdf [Last accessed: 27\/01\/2025]."},{"key":"e_1_3_3_2_84_2","doi-asserted-by":"publisher","unstructured":"Hong Zhang and Eric So. 2002. Hybrid resistive tactile sensing. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) 32 1 (2002) 57\u201365. 10.1109\/3477.979960","DOI":"10.1109\/3477.979960"}],"event":{"name":"CHI 2025: CHI Conference on Human Factors in Computing Systems","location":"Yokohama Japan","acronym":"CHI '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706598.3713677","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706598.3713677","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T04:49:28Z","timestamp":1751604568000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706598.3713677"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,25]]},"references-count":83,"alternative-id":["10.1145\/3706598.3713677","10.1145\/3706598"],"URL":"https:\/\/doi.org\/10.1145\/3706598.3713677","relation":{},"subject":[],"published":{"date-parts":[[2025,4,25]]},"assertion":[{"value":"2025-04-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}