Data Visualization and Interaction with Smartwatches

Par

Ali Neshati

Université de Waterloo

Résumé:

 Wearable technologies such as smartwatches and fitness trackers are becoming increasingly popular across demographic groups. Being lightweight, accessible, and having various sensors make smartwatches unique and ubiquitous as data-tracking devices with strong computational power right on our wrists. My research specialization is Human-Computer Interaction (HCI), focusing on developing and studying novel space-efficient data visualization techniques and innovative interaction methods with such devices. More specifically, I am interested in understanding users' needs and limitations when interacting with wearable technologies, including smartwatches, AR and VR devices, designing effective content presentation and interaction methods to meet these needs, as well as assisting users in overcoming limitations associated with current wearables in order to represent and explore various forms of information.

Biographie :

 Ali Neshati is currently an HCI postdoctoral researcher at the University of Waterloo where he specializes in designing novel interaction techniques designed to interact with cutting-edge technologies. Ali graduated from Sharif University of Technology where he did research in Graph Theory and Algorithms. He later joined the Human-Computer Interaction Lab at the University of Manitoba for his PhD project on "Space-efficient Visualization and Interaction with Smartwatches" which received the outstanding thesis award from the University of Manitoba. Additionally, his research papers have received numerous awards from different HCI conferences, including the "Honorable Mention" award from CHI 2019, MobileHCI 2021, and ICMI 2022. In addition to his research role, he has taught various undergraduate and graduate courses, including theoretical computer science and HCI-related courses.