Hasti Seifi — accepted AI-conference papers

2025

HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals

Guimin Hu, Daniel Hershcovich, Hasti Seifi

EMNLP 2025

Haptic signals, from smartphone vibrations to virtual reality touch feedback, can effectively convey information and enhance realism, but designing signals that resonate meaningfully with users is challenging. To facilitate this, we introduce a multimodal dataset and task, of matching user descripti

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2024

UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause

Guimin Hu, Zhihong Zhu, Daniel Hershcovich, Lijie Hu, Hasti Seifi, Jiayuan Xie

EMNLP 2024finding

Multimodal emotion recognition in conversation (MERC) and multimodal emotion-cause pair extraction (MECPE) have recently garnered significant attention. Emotions are the expression of affect or feelings; responses to specific events, or situations – known as emotion causes. Both collectively explain…

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