Zobrazeno 1 - 10
of 8 623
pro vyhledávání: '"Seifi, A."'
Audio descriptions (AD) make videos accessible for blind and low vision (BLV) users by describing visual elements that cannot be understood from the main audio track. AD created by professionals or novice describers is time-consuming and lacks scalab
Externí odkaz:
http://arxiv.org/abs/2411.11835
Designing and displaying haptic signals with sensory and emotional attributes can improve the user experience in various applications. Free-form user language provides rich sensory and emotional information for haptic design (e.g., ``This signal feel
Externí odkaz:
http://arxiv.org/abs/2411.02118
Autor:
Ghasemi, Mahyar, Seifi, Alireza, Kateb, Movaffaq, Gudmundsson, Jon Tomas, Brault, Pascal, Marashi, Pirooz
Publikováno v:
Journal of Vacuum Science & Technology A 42(6) 2024, 3968
The detailed mechanism of bonding in the cold spray process has remained elusive for both experimental and theoretical parties. Adiabatic shear instability and hydrodynamic plasticity models have been so far the most popular explanations. Here, using
Externí odkaz:
http://arxiv.org/abs/2411.01328
Autor:
Hu, Guimin, Seifi, Hasti
Large language models (LLMs) have garnered significant attention in recent years due to their impressive performance. While considerable research has evaluated these models from various perspectives, the extent to which LLMs can perform implicit and
Externí odkaz:
http://arxiv.org/abs/2410.19128
The increasing demand in artificial intelligence (AI) for models that are both effective and explainable is critical in domains where safety and trust are paramount. In this study, we introduce MIRA, a transparent and interpretable multi-class rule-b
Externí odkaz:
http://arxiv.org/abs/2410.12806
Autor:
Hu, Guimin, Xin, Yi, Lyu, Weimin, Huang, Haojian, Sun, Chang, Zhu, Zhihong, Gui, Lin, Cai, Ruichu, Cambria, Erik, Seifi, Hasti
Multimodal affective computing (MAC) has garnered increasing attention due to its broad applications in analyzing human behaviors and intentions, especially in text-dominated multimodal affective computing field. This survey presents the recent trend
Externí odkaz:
http://arxiv.org/abs/2409.07388
Autor:
Gonzalez-Franco, Mar, Abdlkarim, Diar, Bhatia, Arpit, Macgregor, Stuart, Fotso-Puepi, Jason Alexander, Gonzalez, Eric J, Seifi, Hasti, Di Luca, Massimiliano, Ahuja, Karan
Virtual, Mixed, and Augmented Reality (XR) technologies hold immense potential for transforming productivity beyond PC. Therefore there is a critical need for improved text input solutions for XR. However, achieving efficient text input in these envi
Externí odkaz:
http://arxiv.org/abs/2406.09579
Mid-air ultrasound haptic technology offers a myriad of temporal and spatial parameters for contactless haptic design. Yet, predicting how these parameters interact to render an ultrasound signal is difficult before testing them on a mid-air ultrasou
Externí odkaz:
http://arxiv.org/abs/2405.02808
Mid-air ultrasound technology offers new design opportunities for contactless tactile patterns (i.e., Tactons) in user applications. Yet, few guidelines exist for making ultrasound Tactons easy to distinguish for users. In this paper, we investigated
Externí odkaz:
http://arxiv.org/abs/2405.02800
Mid-air ultrasound haptic technology can enhance user interaction and immersion in extended reality (XR) applications through contactless touch feedback. Yet, existing design tools for mid-air haptics primarily support creating tactile sensations (i.
Externí odkaz:
http://arxiv.org/abs/2404.19275