Vanessa Tang

According to our database, Vanessa Tang authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FEAD: Introduction to the fNIRS-EEG Affective Database - Video Stimuli.

Alireza Farrokhi Nia, Vanessa Tang, Valery Malyshau, Amit Barde, Gonzalo Daniel Maso Talou, Mark Billinghurst

IEEE Trans. Affect. Comput., 2025

Decoding emotions through personalized multi-modal fNIRS-EEG Systems: Exploring deterministic fusion techniques.

Alireza F. Nia, Vanessa Tang, Gonzalo D. Maso Talou, Mark Billinghurst

Biomed. Signal Process. Control., 2025

2024

Striving for Authentic and Sustained Technology Use in the Classroom: Lessons Learned from a Longitudinal Evaluation of a Sensor-Based Science Education Platform.

Yvonne Chua, Sankha Cooray, Juan Pablo Forero Cortés, Paul Denny, Sonia Dupuch, Dawn L. Garbett, Alaeddin Nassani, Jiashuo Cao, Hannah Qiao, Andrew Reis, Deviana Reis, Philipp M. Scholl, Priyashri Kamlesh Sridhar, Hussel Suriyaarachchi, Fiona Taimana, Vanessa Tang, Chamod Weerasinghe, Elliott Wen, Michelle Wu, Qin Wu, Haimo Zhang, Suranga Nanayakkara

Int. J. Hum. Comput. Interact., September, 2024

2023

Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper.

Alireza F. Nia, Vanessa Tang, Gonzalo D. Maso Talou, Mark Billinghurst

CoRR, 2023

2022

Troi: Towards Understanding Users Perspectives to Mobile Automatic Emotion Recognition System in Their Natural Setting.

Vipula Dissanayake, Vanessa Tang, Don Samitha Elvitigala, Elliott Wen, Michelle Wu, Suranga Nanayakkara

Proc. ACM Hum. Comput. Interact., 2022

VRhook: A Data Collection Tool for VR Motion Sickness Research.

Elliott Wen, Tharindu Indrajith Kaluarachchi, Shamane Siriwardhana, Vanessa Tang, Mark Billinghurst, Robert W. Lindeman, Richard Yao, James Lin, Suranga Nanayakkara

Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

Kiwrious AR: Exploring AR for Scientific Inquiry and Scaffolded Learning.

Vanessa Tang, Alaeddin Nassani, Suranga Nanayakkara, Mark Billinghurst

Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022