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+ ---
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+
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+
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+ Full codes can be found in : https://github.com/LeMei/HapticCap
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+
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+ # 📌 HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals
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+
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+ Arxiv: https://arxiv.org/pdf/2507.13318? (Findings of EMNLP2025)
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+
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+ ---
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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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+ ---
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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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+
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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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+
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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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+ ---
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+
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+ Google drive:
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+
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+ Haptic Vibration Signals: <https://drive.google.com/drive/folders/1xylMC-EFswTc3adcc6rAzyFsXLSmVweg?usp=drive_link>
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+
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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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+
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+
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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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+
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+ - Training, Valid Test set:
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+
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+ <https://drive.google.com/drive/folders/1PfM2fjIHFDx1PtWADJHwo3TM2SRbp2tL?usp=drive_link>
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+
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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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+
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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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+ ---
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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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+
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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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+ ```