Sami’s research falls under the broad category of Human-Computer Interaction; primarily, he focuses on users’ rapid development of expertise with computer interfaces. He investigates and exploits people’s physical and cognitive abilities, including the constraints of the devices people use, to design better interaction facilities and support users becoming experts quickly.
He joined the Interaction Lab as a Master’s student in 2014. After completing his M.Sc. degree in 2016, Sami continued his research as a Ph.D. student under the supervision of Dr. Carl Gutwin. Inspired by the real-life benefits of landmarks in remembering the locations of real objects in an environment, he has been investigating the use of ‘landmarks’ in computer interfaces as a way to provide efficient learning and remembering strategies for the locations of graphical elements (e.g., commands). Sami works in various computing platforms, including traditional desktops, large multi-touch displays, and small handheld touch devices.
Before moving to Canada, Sami served as a Lecturer of Computer Science and Engineering at the Ahsanullah University of Science and Technology, Bangladesh, and completed his Bachelor’s degree in Computer Science and Information Technology from the Islamic University of Technology, Bangladesh.
(2020) Effects of visual distinctiveness on learning and retrieval in icon toolbars, Proceedings - Graphics Interface 2020-May
(2019) Improving Early Navigation in Time-Lapse Video with Spread-Frame Loading, doi:10.1145/3290605.3300785
(2018) Multiplexing spatial memory, doi:10.1145/3229434.3229482
(2018) Multiplexing spatial memory: Increasing the capacity of Fasttap menus with multiple tabs, MobileHCI 2018 - Beyond Mobile: The Next 20 Years - 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, Conference Proceedings, doi:10.1145/3229434.3229482
(2018) Improving revisitation in long documents with two-level artificial-landmark scrollbars, Proceedings of the Workshop on Advanced Visual Interfaces AVI, doi:10.1145/3206505.3206554
(2018) Two-level artificial-landmark scrollbars to improve revisitation in long documents, Proceedings of the Workshop on Advanced Visual Interfaces AVI, doi:10.1145/3206505.3206588
(2017) The effects of artificial landmarks on learning and performance in spatial-memory interfaces, Conference on Human Factors in Computing Systems - Proceedings 2017-May, doi:10.1145/3025453.3025497
(2017) Artificial landmarks augmented linear control widgets to improve spatial learning and revisitation performance, SUI 2017 - Proceedings of the 2017 Symposium on Spatial User Interaction, doi:10.1145/3131277.3134367
(2017) Using artificial landmarks to improve revisitation performance and spatial learning in linear control widgets, SUI 2017 - Proceedings of the 2017 Symposium on Spatial User Interaction, doi:10.1145/3131277.3132184
(2016) HandMark menus: Rapid Command selection and large command sets on multi-touch displays, Conference on Human Factors in Computing Systems - Proceedings, doi:10.1145/2858036.2858211
(2016) HandMark Menus, doi:10.1145/2858036.2858211
(2016) Rapid command selection on multi-touch tablets with single-handed HandMark menus, Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016, doi:10.1145/2992154.2992172
(2015) On the comprehension of code clone visualizations: A controlled study using eye tracking, 2015 IEEE 15th International Working Conference on Source Code Analysis and Manipulation, SCAM 2015 - Proceedings, doi:10.1109/SCAM.2015.7335412