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--- |
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license: cc-by-4.0 |
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task_categories: |
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- text-generation |
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language: |
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- en |
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size_categories: |
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- 1K<n<10K |
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pretty_name: Haptic data |
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--- |
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Full codes can be found in : https://github.com/LeMei/HapticCap |
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# 📌 HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals |
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Arxiv: https://arxiv.org/pdf/2507.13318? (Findings of EMNLP2025) |
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--- |
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## 📖 Introduction |
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**HapticCap** is a multimodal dataset and benchmark task designed for understanding **user experience of vibration-based haptic signals**. |
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It provides a new resource for research at the intersection of **haptics, text, and multimodal learning**. |
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--- |
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## 📂 Dataset |
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- **Modality**: Vibration haptic signals, paired with textual annotations |
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- **Textual Annotations**: |
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- Sensory: It refers to physical attributes (e.g.,intensity of tapping). |
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- Emotional: It refers to emotional denotes affective impressions (e.g., the mood of a scene). |
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- Associative: It indicates real-world familiar experiences (e.g., buzzing of a bee, a heartbeat). |
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- **Format**: Signals stored as time-series data; annotations in JSON with haptic signal ID |
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- **Scale**: |
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<p align="center"> |
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<img width="304" height="334" alt="image" src="https://github.com/user-attachments/assets/9debe339-c83e-4e3d-b173-99d004b0d1b6" /> |
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</p> |
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--- |
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Google drive: |
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Haptic Vibration Signals: <https://drive.google.com/drive/folders/1xylMC-EFswTc3adcc6rAzyFsXLSmVweg?usp=drive_link> |
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Human Descriptions: https: <https://drive.google.com/drive/folders/1ovlIbfJecXAq0TbItmrRl5dVV7OCCQzB?usp=drive_link> |
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or find the data in: <https://huggingface.co/datasets/GuiminHu/HapticCap> |
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## 🧩 Tasks |
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- Haptic-caption retrieval: Its objective is to retrieve the textual descriptions of three categories that correspond to a given haptic signal, using the |
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haptic signal as the query and the descriptions as the target documents. |
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- Training, Valid Test set: |
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<https://drive.google.com/drive/folders/1PfM2fjIHFDx1PtWADJHwo3TM2SRbp2tL?usp=drive_link> |
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## 🧩 Models |
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We design supervised contrastive learning framework that aims to pull the clusters of points belonging to the same class together in an embedding space and simultaneously |
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pushes apart clusters of samples from different classes. |
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<p align="center"> |
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<img width="610" height="244" alt="image" src="https://github.com/user-attachments/assets/781be7dc-3674-401d-8d41-86f07ab1b205" /> |
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</p> |
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--- |
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## 🚀 Citation |
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If you find this dataset useful for your research, please cite our paper: |
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```bibtex |
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@article{hu2025hapticcap, |
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title={Hapticcap: A multimodal dataset and task for understanding user experience of vibration haptic signals}, |
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author={Hu, Guimin and Hershcovich, Daniel and Seifi, Hasti}, |
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journal={arXiv preprint arXiv:2507.13318}, |
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year={2025} |
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} |
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``` |
