Shayan Mirjafari
Orcid: 0000-0002-7165-2781
According to our database1,
Shayan Mirjafari
authored at least 18 papers
between 2018 and 2024.
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Bibliography
2024
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
2023
CoRR, 2023
2022
2021
IEEE Pervasive Comput., 2021
Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being.
IEEE Comput. Intell. Mag., 2021
2020
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Improved Sleep Detection Through the Fusion of Phone Agent and Wearable Data Streams.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020
On the Quality of Real-world Wearable Data in a Longitudinal Study of Information Workers.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Social Sensing: Assessing Social Functioning of Patients Living with Schizophrenia using Mobile Phone Sensing.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
2019
A Multisensor Person-Centered Approach to Understand the Role of Daily Activities in Job Performance with Organizational Personas.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
The Tesserae Project: Large-Scale, Longitudinal, <i>In Situ, </i> Multimodal Sensing of Information Workers.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019
2018
Sensing Behavioral Change over Time: Using Within-Person Variability Features from Mobile Sensing to Predict Personality Traits.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018