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pro vyhledávání: '"Sasikumar, Prasanth"'
Affect and cognitive load influence many user behaviors. In this paper, we propose Motion as Emotion, a novel method that utilizes fine differences in hand motion to recognise affect and cognitive load in virtual reality (VR). We conducted a study wi
Externí odkaz:
http://arxiv.org/abs/2409.12921
Autor:
Nguyen, Mia Huong, Samaradivakara, Yasith, Sasikumar, Prasanth, Gupta, Chitralekha, Nanayakkara, Suranga
Publikováno v:
Findings of EMNLP 2023
Emotion-Cause analysis has attracted the attention of researchers in recent years. However, most existing datasets are limited in size and number of emotion categories. They often focus on extracting parts of the document that contain the emotion cau
Externí odkaz:
http://arxiv.org/abs/2406.12389
Autor:
Wen, Elliott, Gupta, Chitralekha, Sasikumar, Prasanth, Billinghurst, Mark, Wilmott, James, Skow, Emily, Dey, Arindam, Nanayakkara, Suranga
Researchers have used machine learning approaches to identify motion sickness in VR experience. These approaches demand an accurately-labeled, real-world, and diverse dataset for high accuracy and generalizability. As a starting point to address this
Externí odkaz:
http://arxiv.org/abs/2306.03381
Autor:
Paes, Daniel, Feng, Zhenan, King, Maddy, Khorrami Shad, Hesam, Sasikumar, Prasanth, Pujoni, Diego, Lovreglio, Ruggiero
Publikováno v:
In Automation in Construction June 2024 162
Akademický článek
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Akademický článek
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Publikováno v:
Virtual Creativity; 2021, Vol. 11 Issue 1, p67-90, 24p
Refereed/Peer-reviewed In a collaborative environment where more than a single user need to complete a task together, being able to understand each other's emotional status is essential for a successful outcome. This is especially evident in remote c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be9ddd0577c041f394583a0e0718d899
https://hdl.handle.net/11541.2/32378
https://hdl.handle.net/11541.2/32378
Autor:
Ihshan Gumilar, Amit Barde, Prasanth Sasikumar, Mark Billinghurst, Ashkan F. Hayati, Gun Lee, Yuda Munarko, Sanjit Singh, Abdul Momin
Refereed/Peer-reviewed Brain activity sometimes synchronises when people collaborate together on real world tasks. Understanding this process could to lead to improvements in face to face and remote collaboration. In this paper we report on an experi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c9423b16e101d32f97b28cb0b3b41f8
https://hdl.handle.net/11541.2/29727
https://hdl.handle.net/11541.2/29727