Parisa Daeijavad is a Ph.D. Candidate in Computer Science at the University of Calgary. Parisa has a bachelor’s degree in information technology engineering from Isfahan University and a master’s degree in IT/Multimedia Systems from Tehran University. During her M.Sc. studies, she has carried out extensive research on Brain- Computer Interface and Human-Computer Interaction using machine learning methods to help people with disabilities to be able to communicate better with their surroundings via typing and she co-authored a publication on brain speller for Persian language. With experience in extended reality UI/UX design, currently, her research interests are in User Experience in Immersive Analytics, Augmented Reality and Virtual Reality applications. Her research investigates developing evidence-based UX design guidelines for XR interfaces in extended reality. Now her focus specifically is on the multiple displays’ layout in AR workspace settings. She aims to develop empirical evidence design guidelines for multi-display workspace in immersive environments by running control experiments looking into specific aspects, such as the density of information and the shape of layouts. She is currently the ASE Lab’s research team member and in her free time, she enjoys playing the violin, reading book and roller skating.
Publications:
2024
Wang, Nanjia, Andrea Bellucci, Christoph Anthes, Parisa Daeijavad, Judith Friedl-Knirsch, Frank Maurer, Fabian Pointecker, and Lucio Davide Spano. “Prototyping and Developing Real-World Applications of Extended Reality.” In Proceedings of the 2024 International Conference on Advanced Visual Interfaces, pp. 1-5. 2024.
Daeijavad, Parisa. “Investigating the Impact of Multiple View Layouts on Users’ Visual Task Performance in Extended Reality.” Proceedings of the 2024 International Conference on Advanced Visual Interfaces. 2024.
Daeijavad, Parisa, Nanjia Wang, and Frank Maurer. “Designing Virtual Work Environments for Knowledge Workers.” 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2024.
Lawton, B., Wang, N., Samoil, S., Daeijavad, P., Xie, S., Chen, Z. and Maurer, F., 2024. Empirically evaluating virtual reality’s effect on reservoir engineering tasks. Visual Informatics, 8(1), pp.26-46.
2023 and before
Daeijavad, Parisa, and Frank Maurer. “Hybrid User Interfaces for Multiple Views: why designer intuition is not enough.” 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). IEEE, 2023.
Aktar, F., Aminbeidokhti, A., Cartwright, S., Chen, Z., Daeijavad, P., Dalton, R., Dawar, S., Hu, D., Lawton, B., Maurer, F. and Samoil, S., 2022, October. Towards advancing reservoir model analysis with virtual reality. In 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 91-97). IEEE.
Daeijavad, Parisa, and Frank Maurer. “Layouts of 3d data visualizations small multiples around users in immersive environments.” 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). IEEE, 2022.
Cartwright, S., Samoil, S., Lawton, B., Hu, D., Xie, S., Wang, E., Aminbeidokhti, A., Dawar, S., Dalton, R., Daeijavad, P. and Maurer, F., 2022, March. Enhancing reservoir engineering workflows with augmented and virtual reality. In SPE Canadian Energy Technology Conference (p. D011S003R002). SPE.
Daeijavad, Parisa, and Frank Maurer. “Towards a Systematic Mapping of Evidence-based UX Guidelines for Room-scale User Interfaces in Extended Reality.”
Veisi, Hadi, Hessam Amini, and Parisa Daeijavad. “A Persian Brain-Computer Interface Speller Based on P300 and Language Model Utilization.” (2021).