{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T07:20:41Z","timestamp":1781335241167,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":89,"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:\/\/creativecommons.org\/licenses\/by-nd\/4.0\/"}],"funder":[{"name":"This work was supported by research grants from the National Science Foundation.","award":["2339707"],"award-info":[{"award-number":["2339707"]}]},{"name":"This work was supported by research grants from VILLUM FONDEN.","award":["VIL50296"],"award-info":[{"award-number":["VIL50296"]}]},{"name":"This work was supported by the National Research Council of Science & Technology (NST) grant by the Korea government (MSIT).","award":["CRC21014"],"award-info":[{"award-number":["CRC21014"]}]},{"name":"This research was supported by the MSIT(Ministry of Science, ICT), Korea, under the Global Research Support Program in the Digital Field program supervised by the IITP(Institute for Information & Communications Technology Planning & Evaluation).","award":["RS-2024-00419561"],"award-info":[{"award-number":["RS-2024-00419561"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,26]]},"DOI":"10.1145\/3706598.3713609","type":"proceedings-article","created":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T03:24:33Z","timestamp":1745465073000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["HapticGen: Generative Text-to-Vibration Model for Streamlining Haptic Design"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3496-2534","authenticated-orcid":false,"given":"Youjin","family":"Sung","sequence":"first","affiliation":[{"name":"Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5075-4322","authenticated-orcid":false,"given":"Kevin","family":"John","sequence":"additional","affiliation":[{"name":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3780-5350","authenticated-orcid":false,"given":"Sang Ho","family":"Yoon","sequence":"additional","affiliation":[{"name":"Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6437-0463","authenticated-orcid":false,"given":"Hasti","family":"Seifi","sequence":"additional","affiliation":[{"name":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, USA and Department of Computer Science, University of Copenhagen, Copenhagen, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"e_1_3_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581514"},{"key":"e_1_3_3_3_3_2","unstructured":"Mohammad\u00a0Gheshlaghi Azar Mark Rowland Bilal Piot Daniel Guo Daniele Calandriello Michal Valko and R\u00e9mi Munos. 2023. A General Theoretical Paradigm to Understand Learning from Human Preferences. arxiv:https:\/\/arXiv.org\/abs\/2310.12036\u00a0[cs.AI] https:\/\/arxiv.org\/abs\/2310.12036"},{"key":"e_1_3_3_3_4_2","unstructured":"bHaptics. 2021. bHaptics Studio. https:\/\/www.bhaptics.com\/software\/studio\/"},{"key":"e_1_3_3_3_5_2","doi-asserted-by":"publisher","unstructured":"Xiaoming Chen Zeke\u00a0Zexi Hu Guangxin Zhao Haisheng Li Vera Chung and Aaron Quigley. 2024. Video2Haptics: Converting Video Motion to Dynamic Haptic Feedback with Bio-Inspired Event Processing. IEEE Transactions on Visualization & Computer Graphics 30 12 (Dec. 2024) 7717\u20137735. 10.1109\/TVCG.2024.3360468","DOI":"10.1109\/TVCG.2024.3360468"},{"key":"e_1_3_3_3_6_2","unstructured":"Sayak\u00a0Ray Chowdhury Anush Kini and Nagarajan Natarajan. 2024. Provably Robust DPO: Aligning Language Models with Noisy Feedback. https:\/\/openreview.net\/forum?id=FDmiBg8aH1"},{"key":"e_1_3_3_3_7_2","volume-title":"Thirty-seventh Conference on Neural Information Processing Systems","author":"Copet Jade","year":"2023","unstructured":"Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, and Alexandre D\u00e9fossez. 2023. Simple and Controllable Music Generation. In Thirty-seventh Conference on Neural Information Processing Systems. https:\/\/openreview.net\/forum?id=jtiQ26sCJi"},{"key":"e_1_3_3_3_8_2","volume-title":"Sensation and perception","author":"Coren Stanley","year":"2004","unstructured":"Stanley Coren, Lawrence\u00a0M Ward, and James\u00a0T Enns. 2004. Sensation and perception. John Wiley & Sons Hoboken, NJ."},{"key":"e_1_3_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/HAPTICS.2014.6775475"},{"key":"e_1_3_3_3_10_2","doi-asserted-by":"crossref","unstructured":"Heather Culbertson Juliette Unwin and Katherine\u00a0J Kuchenbecker. 2014. Modeling and rendering realistic textures from unconstrained tool-surface interactions. IEEE transactions on haptics 7 3 (2014) 381\u2013393.","DOI":"10.1109\/TOH.2014.2316797"},{"key":"e_1_3_3_3_11_2","doi-asserted-by":"publisher","unstructured":"Tor\u00a0Salve Dalsgaard Joanna Bergstr\u00f6m Marianna Obrist and Kasper Hornb\u00e6k. 2022. A user-derived mapping for mid-air haptic experiences. International Journal of Human Computer Studies 168 (12 2022). 10.1016\/j.ijhcs.2022.102920","DOI":"10.1016\/j.ijhcs.2022.102920"},{"key":"e_1_3_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642579"},{"key":"e_1_3_3_3_13_2","unstructured":"Alexandre D\u00e9fossez Jade Copet Gabriel Synnaeve and Yossi Adi. 2023. High Fidelity Neural Audio Compression. https:\/\/openreview.net\/forum?id=ivCd8z8zR2 Featured Certification Reproducibility Certification."},{"key":"e_1_3_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3472749.3474797"},{"key":"e_1_3_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173894"},{"key":"e_1_3_3_3_16_2","unstructured":"Abhimanyu Dubey Abhinav Jauhri Abhinav Pandey and et al.2024. The Llama 3 Herd of Models. arxiv:https:\/\/arXiv.org\/abs\/2407.21783\u00a0[cs.AI] https:\/\/arxiv.org\/abs\/2407.21783"},{"key":"e_1_3_3_3_17_2","unstructured":"Patrick Esser Sumith Kulal Andreas Blattmann Rahim Entezari Jonas M\u00fcller Harry Saini Yam Levi Dominik Lorenz Axel Sauer Frederic Boesel Dustin Podell Tim Dockhorn Zion English Kyle Lacey Alex Goodwin Yannik Marek and Robin Rombach. 2024. Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. arxiv:https:\/\/arXiv.org\/abs\/2403.03206\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2403.03206"},{"key":"e_1_3_3_3_18_2","unstructured":"Kawin Ethayarajh Winnie Xu Niklas Muennighoff Dan Jurafsky and Douwe Kiela. 2024. KTO: Model Alignment as Prospect Theoretic Optimization. arxiv:https:\/\/arXiv.org\/abs\/2402.01306\u00a0[cs.LG] https:\/\/arxiv.org\/abs\/2402.01306"},{"key":"e_1_3_3_3_19_2","unstructured":"Sylvain Filoni. 2023. Image to MusicGen - a Hugging Face Space by fffiloni. https:\/\/huggingface.co\/spaces\/fffiloni\/Image-to-MusicGen"},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"crossref","unstructured":"Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer\u00a0Wortman Vaughan Hanna Wallach Hal\u00a0Daum\u00e9 III and Kate Crawford. 2021. Datasheets for datasets. Commun. ACM 64 12 (2021) 86\u201392.","DOI":"10.1145\/3458723"},{"key":"e_1_3_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952261"},{"key":"e_1_3_3_3_22_2","doi-asserted-by":"crossref","unstructured":"A. Gescheider S.J. Bolanowski and K.R. Hardick. 2001. The frequency selectivity of information-processing channels in the tactile sensory system. Somatosensory & motor research 18 3 (2001) 191\u2013201.","DOI":"10.1080\/01421590120072187"},{"key":"e_1_3_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/WHC.2017.7989944"},{"key":"e_1_3_3_3_24_2","doi-asserted-by":"publisher","unstructured":"Waseem Hassan Arsen Abdulali Muhammad Abdullah Sang\u00a0Chul Ahn and Seokhee Jeon. 2018. Towards Universal Haptic Library: Library-Based Haptic Texture Assignment Using Image Texture and Perceptual Space. IEEE Transactions on Haptics 11 2 (2018) 291\u2013303. 10.1109\/TOH.2017.2782279","DOI":"10.1109\/TOH.2017.2782279"},{"key":"e_1_3_3_3_25_2","unstructured":"Dan Hendrycks Collin Burns Steven Basart Andy Zou Mantas Mazeika Dawn Song and Jacob Steinhardt. 2021. Measuring Massive Multitask Language Understanding. https:\/\/openreview.net\/forum?id=d7KBjmI3GmQ"},{"key":"e_1_3_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581072"},{"key":"e_1_3_3_3_27_2","unstructured":"Rongjie Huang Jiawei Huang Dongchao Yang Yi Ren Luping Liu Mingze Li Zhenhui Ye Jinglin Liu Xiang Yin and Zhou Zhao. 2023. Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models. arxiv:https:\/\/arXiv.org\/abs\/2301.12661\u00a0[cs.SD] https:\/\/arxiv.org\/abs\/2301.12661"},{"key":"e_1_3_3_3_28_2","unstructured":"Interhaptics. 2022. Audio to Haptics - How Interhaptics Works?https:\/\/www.interhaptics.com\/tech\/how-interhaptics-works\/"},{"key":"e_1_3_3_3_29_2","doi-asserted-by":"crossref","unstructured":"Ali Israr Siyan Zhao Kaitlyn Schwalje Roberta Klatzky and Jill Lehman. 2014. Feel Effects: Enriching Storytelling With Haptic Feedback. ACM Transactions on Applied Perception (TAP) 11 3 (2014) 1\u201317.","DOI":"10.1145\/2641570"},{"key":"e_1_3_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642090"},{"key":"e_1_3_3_3_31_2","doi-asserted-by":"crossref","unstructured":"Kyungeun Jung Sangpil Kim Seungjae Oh and Sang\u00a0Ho Yoon. 2024. HapMotion: motion-to-tactile framework with wearable haptic devices for immersive VR performance experience. Virtual Reality 28 1 (2024) 13.","DOI":"10.1007\/s10055-023-00910-z"},{"key":"e_1_3_3_3_32_2","unstructured":"Seungjae Jung Gunsoo Han Daniel\u00a0Wontae Nam and Kyoung-Woon On. 2024. Binary Classifier Optimization for Large Language Model Alignment. arxiv:https:\/\/arXiv.org\/abs\/2404.04656\u00a0[cs.LG] https:\/\/arxiv.org\/abs\/2404.04656"},{"key":"e_1_3_3_3_33_2","unstructured":"Will Kay Joao Carreira Karen Simonyan Brian Zhang Chloe Hillier Sudheendra Vijayanarasimhan Fabio Viola Tim Green Trevor Back Paul Natsev Mustafa Suleyman and Andrew Zisserman. 2017. The Kinetics Human Action Video Dataset. arxiv:https:\/\/arXiv.org\/abs\/1705.06950\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/1705.06950"},{"key":"e_1_3_3_3_34_2","doi-asserted-by":"crossref","unstructured":"Kevin Kilgour Mauricio Zuluaga Dominik Roblek and Matthew Sharifi. 2019. Fr\u00e9chet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms. arxiv:https:\/\/arXiv.org\/abs\/1812.08466\u00a0[eess.AS] https:\/\/arxiv.org\/abs\/1812.08466","DOI":"10.21437\/Interspeech.2019-2219"},{"key":"e_1_3_3_3_35_2","first-page":"119","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)","author":"Kim Chris\u00a0Dongjoo","year":"2019","unstructured":"Chris\u00a0Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, and Gunhee Kim. 2019. Audiocaps: Generating captions for audios in the wild. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 119\u2013132."},{"key":"e_1_3_3_3_36_2","doi-asserted-by":"publisher","unstructured":"Dong-Geun Kim Jungeun Lee Gyeore Yun Hong\u00a0Z. Tan and Seungmoon Choi. 2024. Sound-to-Touch Crossmodal Pitch Matching for Short Sounds. IEEE Transactions on Haptics 17 1 (2024) 2\u20137. 10.1109\/TOH.2023.3338224","DOI":"10.1109\/TOH.2023.3338224"},{"key":"e_1_3_3_3_37_2","doi-asserted-by":"publisher","unstructured":"Erin Kim and Oliver Schneider. 2020. Defining Haptic Experience: Foundations for Understanding Communicating and Evaluating HX. Conference on Human Factors in Computing Systems - Proceedings. 10.1145\/3313831.3376280","DOI":"10.1145\/3313831.3376280"},{"key":"e_1_3_3_3_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376280"},{"key":"e_1_3_3_3_39_2","doi-asserted-by":"publisher","unstructured":"Myongchan Kim Sungkil Lee and Seungmoon Choi. 2014. Saliency-Driven Real-Time Video-to-Tactile Translation. IEEE Transactions on Haptics 7 3 (2014) 394\u2013404. 10.1109\/TOH.2013.58","DOI":"10.1109\/TOH.2013.58"},{"key":"e_1_3_3_3_40_2","volume-title":"The Eleventh International Conference on Learning Representations","author":"Kreuk Felix","year":"2023","unstructured":"Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre D\u00e9fossez, Jade Copet, Devi Parikh, Yaniv Taigman, and Yossi Adi. 2023. AudioGen: Textually Guided Audio Generation. In The Eleventh International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=CYK7RfcOzQ4"},{"key":"e_1_3_3_3_41_2","doi-asserted-by":"publisher","unstructured":"Dongjae Kwon Ramzi\u00a0Abou Chahine Chungman Lim Hasti Seifi and Gunhyuk Park. 2023. Can we crowdsource Tacton similarity perception and metaphor ratings? Conference on Human Factors in Computing Systems - Proceedings. 10.1145\/3544548.3581120","DOI":"10.1145\/3544548.3581120"},{"key":"e_1_3_3_3_42_2","doi-asserted-by":"publisher","unstructured":"Jaebong Lee Bohyung Han and Seungmoon Choi. 2016. Motion Effects Synthesis for 4D Films. IEEE Transactions on Visualization and Computer Graphics 22 10 (2016) 2300\u20132314. 10.1109\/TVCG.2015.2507591","DOI":"10.1109\/TVCG.2015.2507591"},{"key":"e_1_3_3_3_43_2","first-page":"302","volume-title":"IEEE World Haptics Conference (WHC)","author":"Lee Jaebong","year":"2009","unstructured":"Jaebong Lee, Jonghyun Ryu, and Seungmoon Choi. 2009. Vibrotactile Score: A Score Metaphor for Designing Vibrotactile Patterns. In IEEE World Haptics Conference (WHC). IEEE, 302\u2013307."},{"key":"e_1_3_3_3_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/3489849.3489887"},{"key":"e_1_3_3_3_45_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"e_1_3_3_3_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3015783.3015788"},{"key":"e_1_3_3_3_47_2","doi-asserted-by":"publisher","DOI":"10.1145\/3064663.3064668"},{"key":"e_1_3_3_3_48_2","doi-asserted-by":"crossref","unstructured":"Xinhao Mei Chutong Meng Haohe Liu Qiuqiang Kong Tom Ko Chengqi Zhao Mark\u00a0D. Plumbley Yuexian Zou and Wenwu Wang. 2024. WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research. IEEE\/ACM Transactions on Audio Speech and Language Processing (2024) 1\u201315.","DOI":"10.1109\/TASLP.2024.3419446"},{"key":"e_1_3_3_3_49_2","unstructured":"Jacob Menick Kevin Lu Shengjia Zhao and et al.2024. GPT-4o mini: advancing cost-efficient intelligence. https:\/\/openai.com\/index\/gpt-4o-mini-advancing-cost-efficient-intelligence\/"},{"key":"e_1_3_3_3_50_2","unstructured":"Meta. 2022. Meta Quest Pro: Premium Mixed Reality. https:\/\/www.meta.com\/quest\/quest-pro\/"},{"key":"e_1_3_3_3_51_2","unstructured":"Meta. 2023. Haptics Studio | Oculus Developers. https:\/\/developer.oculus.com\/resources\/haptics-studio\/"},{"key":"e_1_3_3_3_52_2","unstructured":"Meta. 2023. Meta Quest 3: New Mixed Reality VR Headset. https:\/\/www.meta.com\/quest\/quest-3\/"},{"key":"e_1_3_3_3_53_2","doi-asserted-by":"publisher","DOI":"10.1145\/2331714.2331745"},{"key":"e_1_3_3_3_54_2","doi-asserted-by":"publisher","DOI":"10.1145\/2470654.2466220"},{"key":"e_1_3_3_3_55_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-4-431-55690-99"},{"key":"e_1_3_3_3_56_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40480-1_15"},{"key":"e_1_3_3_3_57_2","doi-asserted-by":"crossref","unstructured":"E. Pezent B. Cambio and M.\u00a0K. O\u2019Malley. 2020. Syntacts: Open-Source Software and Hardware for Audio-Controlled Haptics. IEEE Transactions on Haptics (ToH) (2020).","DOI":"10.1109\/TOH.2020.3002696"},{"key":"e_1_3_3_3_58_2","unstructured":"Rafael Rafailov Archit Sharma Eric Mitchell Christopher\u00a0D Manning Stefano Ermon and Chelsea Finn. 2023. Direct Preference Optimization: Your Language Model is Secretly a Reward Model. https:\/\/openreview.net\/forum?id=HPuSIXJaa9"},{"key":"e_1_3_3_3_59_2","unstructured":"Colin Raffel Noam Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li and Peter\u00a0J. Liu. 2020. Exploring the limits of transfer learning with a unified text-to-text transformer. J. Mach. Learn. Res. 21 1 Article 140 (jan 2020) 67\u00a0pages."},{"key":"e_1_3_3_3_60_2","unstructured":"Aditya Ramesh Prafulla Dhariwal Alex Nichol Casey Chu and Mark Chen. 2022. Hierarchical Text-Conditional Image Generation with CLIP Latents. arxiv:https:\/\/arXiv.org\/abs\/2204.06125\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2204.06125"},{"key":"e_1_3_3_3_61_2","unstructured":"Aditya Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen and Ilya Sutskever. 2021. Zero-Shot Text-to-Image Generation. arxiv:https:\/\/arXiv.org\/abs\/2102.12092\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2102.12092"},{"key":"e_1_3_3_3_62_2","unstructured":"Robin Rombach Andreas Blattmann Dominik Lorenz Patrick Esser and Bj\u00f6rn Ommer. 2022. High-Resolution Image Synthesis with Latent Diffusion Models. arxiv:https:\/\/arXiv.org\/abs\/2112.10752\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2112.10752"},{"key":"e_1_3_3_3_63_2","doi-asserted-by":"publisher","DOI":"10.1109\/WHC49131.2021.9517220"},{"key":"e_1_3_3_3_64_2","doi-asserted-by":"crossref","unstructured":"Oliver Schneider Karon MacLean Colin Swindells and Kellogg Booth. 2017. Haptic experience design: What hapticians do and where they need help. International Journal of Human-Computer Studies 107 (2017) 5\u201321.","DOI":"10.1016\/j.ijhcs.2017.04.004"},{"key":"e_1_3_3_3_65_2","doi-asserted-by":"publisher","DOI":"10.1145\/2807442.2807470"},{"key":"e_1_3_3_3_66_2","doi-asserted-by":"publisher","DOI":"10.1109\/HAPTICS.2014.6775476"},{"key":"e_1_3_3_3_67_2","doi-asserted-by":"publisher","DOI":"10.1109\/HAPTICS.2016.7463155"},{"key":"e_1_3_3_3_68_2","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858279"},{"key":"e_1_3_3_3_69_2","first-page":"1","volume-title":"Proceedings of the CHI Conference on Human Factors in Computing Systems","author":"Seifi Hasti","year":"2023","unstructured":"Hasti Seifi, Sean Chew, Antony\u00a0James Nasc\u00e8, William\u00a0Edward Lowther, William Frier, and Kasper Hornb\u00e6k. 2023. Feellustrator: A Design Tool for Ultrasound Mid-Air Haptics. In Proceedings of the CHI Conference on Human Factors in Computing Systems. 1\u201316."},{"key":"e_1_3_3_3_70_2","doi-asserted-by":"crossref","unstructured":"Hasti Seifi Matthew Chun Colin Gallacher Oliver Schneider and Karon\u00a0E MacLean. 2020. How do novice hapticians design? A case study in creating haptic learning environments. IEEE Transactions on Haptics (ToH) 13 4 (2020) 791\u2013805.","DOI":"10.1109\/TOH.2020.2968903"},{"key":"e_1_3_3_3_71_2","doi-asserted-by":"crossref","unstructured":"Hasti Seifi and Karon\u00a0E MacLean. 2017. Exploiting haptic facets: Users\u2019 sensemaking schemas as a path to design and personalization of experience. International Journal of Human-Computer Studies 107 (2017) 38\u201361.","DOI":"10.1016\/j.ijhcs.2017.04.003"},{"key":"e_1_3_3_3_72_2","doi-asserted-by":"publisher","DOI":"10.1109\/WHC.2015.7177722"},{"key":"e_1_3_3_3_73_2","unstructured":"Zhan Shi Xu Zhou Xipeng Qiu and Xiaodan Zhu. 2020. Improving Image Captioning with Better Use of Captions. arxiv:https:\/\/arXiv.org\/abs\/2006.11807\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2006.11807"},{"key":"e_1_3_3_3_74_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445463"},{"key":"e_1_3_3_3_75_2","unstructured":"Khurram Soomro Amir\u00a0Roshan Zamir and Mubarak Shah. 2012. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild. arxiv:https:\/\/arXiv.org\/abs\/1212.0402\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/1212.0402"},{"key":"e_1_3_3_3_76_2","doi-asserted-by":"publisher","DOI":"10.1109\/HAVE.2014.6954342"},{"key":"e_1_3_3_3_77_2","doi-asserted-by":"crossref","unstructured":"Youjin Sung Rachel Kim Kun\u00a0Woo Song Yitian Shao and Sang\u00a0Ho Yoon. 2024. HapticPilot: Authoring In-Situ Hand Posture-Adaptive Vibrotactile Feedback for Virtual Reality. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 7 4 (2024) 1\u201328.","DOI":"10.1145\/3631453"},{"key":"e_1_3_3_3_78_2","first-page":"161","volume-title":"IEEE Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems","author":"Swindells Colin","year":"2006","unstructured":"Colin Swindells, Evgeny Maksakov, Karon\u00a0E MacLean, and Victor Chung. 2006. The role of prototyping tools for haptic behavior design. In IEEE Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. IEEE, 161\u2013168."},{"key":"e_1_3_3_3_79_2","doi-asserted-by":"publisher","unstructured":"Mihail Terenti and Radu-Daniel Vatavu. 2023. VIREO: Web-based Graphical Authoring of Vibrotactile Feedback for Interactions with Mobile and Wearable Devices. International Journal of Human\u2013Computer Interaction 39 20 (2023) 4162\u20134180. 10.1080\/10447318.2022.2109584 arXiv:10.1080\/10447318.2022.2109584","DOI":"10.1080\/10447318.2022.2109584"},{"key":"e_1_3_3_3_80_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-69057-3_24"},{"key":"e_1_3_3_3_81_2","doi-asserted-by":"publisher","unstructured":"Karthikan Theivendran Andy Wu William Frier and Oliver Schneider. 2023. RecHap: An Interactive Recommender System For Navigating a Large Number of Mid-Air Haptic Designs. IEEE Transactions on Haptics (2023) 1\u201312. 10.1109\/TOH.2023.3276812","DOI":"10.1109\/TOH.2023.3276812"},{"key":"e_1_3_3_3_82_2","first-page":"111","volume-title":"Proceedings of Eurohaptics","volume":"2003","author":"Erp Jan\u00a0BF van","year":"2003","unstructured":"Jan\u00a0BF van Erp, Michiel\u00a0MA Spap\u00e9, et\u00a0al. 2003. Distilling the underlying dimensions of tactile melodies. In Proceedings of Eurohaptics , Vol.\u00a02003. 111\u2013120."},{"key":"e_1_3_3_3_83_2","doi-asserted-by":"publisher","DOI":"10.1145\/3430524.3442699"},{"key":"e_1_3_3_3_84_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095687"},{"key":"e_1_3_3_3_85_2","doi-asserted-by":"publisher","unstructured":"Yilin Ye Qian Zhu Shishi Xiao Kang Zhang and Wei Zeng. 2024. The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model. Proc. ACM Hum.-Comput. Interact. 8 CSCW1 Article 180 (apr 2024) 31\u00a0pages. 10.1145\/3641019","DOI":"10.1145\/3641019"},{"key":"e_1_3_3_3_86_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445358"},{"key":"e_1_3_3_3_87_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580787"},{"key":"e_1_3_3_3_88_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580787"},{"key":"e_1_3_3_3_89_2","doi-asserted-by":"publisher","unstructured":"Yan Zhan Xiaoying Sun Qinglong Wang and Weizhi Nai. 2024. Method for Audio-to-Tactile Cross-Modality Generation Based on Residual U-Net. IEEE Transactions on Instrumentation and Measurement 73 (2024) 1\u201314. 10.1109\/TIM.2023.3336453","DOI":"10.1109\/TIM.2023.3336453"},{"key":"e_1_3_3_3_90_2","doi-asserted-by":"publisher","unstructured":"Yufan Zhou Ruiyi Zhang Jiuxiang Gu Chris Tensmeyer Tong Yu Changyou Chen Jinhui Xu and Tong Sun. 2022. TiGAN: Text-Based Interactive Image Generation and Manipulation. Proceedings of the AAAI Conference on Artificial Intelligence 36 3 (Jun. 2022) 3580\u20133588. 10.1609\/aaai.v36i3.20270","DOI":"10.1609\/aaai.v36i3.20270"}],"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\/3706598.3713609","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706598.3713609","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T05:11:11Z","timestamp":1751605871000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706598.3713609"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,25]]},"references-count":89,"alternative-id":["10.1145\/3706598.3713609","10.1145\/3706598"],"URL":"https:\/\/doi.org\/10.1145\/3706598.3713609","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"}}]}}