Streamlining Haptic Design with Micro-Collision Haptic Map Generated by Stable Diffusion
Rendering surface materials to provide realistic tactile sensations is a key focus in haptic interaction research. However, generating texture maps and designing corresponding haptic feedback often requires expert knowledge and significant effort. To simplify the workflow, we developed a micro-colli...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/13/7174 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850118638298726400 |
|---|---|
| author | Hongyu Liu Zhenyu Gu |
| author_facet | Hongyu Liu Zhenyu Gu |
| author_sort | Hongyu Liu |
| collection | DOAJ |
| description | Rendering surface materials to provide realistic tactile sensations is a key focus in haptic interaction research. However, generating texture maps and designing corresponding haptic feedback often requires expert knowledge and significant effort. To simplify the workflow, we developed a micro-collision-based tactile texture dataset for several common materials and fine-tuned the VAE model of Stable Diffusion. Our approach allows designers to generate matching visual and haptic textures from natural language prompts and enables users to receive real-time, realistic haptic feedback when interacting with virtual surfaces. We evaluated our method through a haptic design task. Professional and non-haptic designers each created one haptic design using traditional tools and another using our approach. Participants then evaluated the four resulting designs. The results showed that our method produced haptic feedback comparable to that of professionals, though slightly lower in overall and consistency scores. Importantly, professional designers using our method required less time and fewer expert resources. Non-haptic designers also achieved better outcomes with our tool. Our generative method optimizes the haptic design workflow, lowering the expertise threshold and increasing efficiency. It has the potential to support broader adoption of haptic design in interactive media and enhance multisensory experiences. |
| format | Article |
| id | doaj-art-14b9d092a0b341c2a73ea9f7199c5901 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-14b9d092a0b341c2a73ea9f7199c59012025-08-20T02:35:49ZengMDPI AGApplied Sciences2076-34172025-06-011513717410.3390/app15137174Streamlining Haptic Design with Micro-Collision Haptic Map Generated by Stable DiffusionHongyu Liu0Zhenyu Gu1School of Design, Minhang Campus, Shanghai Jiao Tong University, Shanghai 200240, ChinaSchool of Design, Minhang Campus, Shanghai Jiao Tong University, Shanghai 200240, ChinaRendering surface materials to provide realistic tactile sensations is a key focus in haptic interaction research. However, generating texture maps and designing corresponding haptic feedback often requires expert knowledge and significant effort. To simplify the workflow, we developed a micro-collision-based tactile texture dataset for several common materials and fine-tuned the VAE model of Stable Diffusion. Our approach allows designers to generate matching visual and haptic textures from natural language prompts and enables users to receive real-time, realistic haptic feedback when interacting with virtual surfaces. We evaluated our method through a haptic design task. Professional and non-haptic designers each created one haptic design using traditional tools and another using our approach. Participants then evaluated the four resulting designs. The results showed that our method produced haptic feedback comparable to that of professionals, though slightly lower in overall and consistency scores. Importantly, professional designers using our method required less time and fewer expert resources. Non-haptic designers also achieved better outcomes with our tool. Our generative method optimizes the haptic design workflow, lowering the expertise threshold and increasing efficiency. It has the potential to support broader adoption of haptic design in interactive media and enhance multisensory experiences.https://www.mdpi.com/2076-3417/15/13/7174haptic designhaptic mapgenerative designhuman–computer interactionmultimodal interactionmicro-collision haptic map |
| spellingShingle | Hongyu Liu Zhenyu Gu Streamlining Haptic Design with Micro-Collision Haptic Map Generated by Stable Diffusion Applied Sciences haptic design haptic map generative design human–computer interaction multimodal interaction micro-collision haptic map |
| title | Streamlining Haptic Design with Micro-Collision Haptic Map Generated by Stable Diffusion |
| title_full | Streamlining Haptic Design with Micro-Collision Haptic Map Generated by Stable Diffusion |
| title_fullStr | Streamlining Haptic Design with Micro-Collision Haptic Map Generated by Stable Diffusion |
| title_full_unstemmed | Streamlining Haptic Design with Micro-Collision Haptic Map Generated by Stable Diffusion |
| title_short | Streamlining Haptic Design with Micro-Collision Haptic Map Generated by Stable Diffusion |
| title_sort | streamlining haptic design with micro collision haptic map generated by stable diffusion |
| topic | haptic design haptic map generative design human–computer interaction multimodal interaction micro-collision haptic map |
| url | https://www.mdpi.com/2076-3417/15/13/7174 |
| work_keys_str_mv | AT hongyuliu streamlininghapticdesignwithmicrocollisionhapticmapgeneratedbystablediffusion AT zhenyugu streamlininghapticdesignwithmicrocollisionhapticmapgeneratedbystablediffusion |