Smart and efficient solutions for input and interaction
Thursday, February 23, 2017
4-5 p.m., Avery 115
3:30 p.m., Avery 348
Ahmed Sabbir Arif, Ph.D.Postdoctoral Research Fellow, RTA School of Media Ryerson University
My talk will cover two characteristics of data: entry and manipulation. I will start with a brief overview of my work involving text entry and error correction. I will demonstrate how subtle changes in the text entry process could make a significant difference on the user experience, and how my research has influenced practices. I will then discuss my ongoing work on alterative input modalities, particularly touch force and gestures, input with unconventional devices, such as smartwatches, and non-traditional users, primarily young children. I will then shift my focus to big/biomedical data visualization and manipulation. Taking inspiration from the common coding theory, I have designed several tangible user interfaces to facilitate exploration and discovery in various big/biomedical networks, including gene expressions and metabolic pathways. I will demonstrate how these tangible interfaces could aid in collaborative learning, conceptual understanding, and support non-experts who are coming into an expert domain. Finally, I will conclude reflecting on future directions of my research.
Ahmed Sabbir Arif is a Postdoctoral Research Fellow in the RTA School of Media at Ryerson University. As a researcher, his goal is to make computer technologies accessible to everyone by developing natural and intuitive input and interaction techniques and technologies. A major thread of his work focuses on smarter solutions for text entry and editing on various devices. His other interests include tangible user interfaces, mobile interaction, child-computer interaction, and big/biomedical data visualization. He has received many prestigious awards, including the Michael A. J. Sweeney Award and the CHISIG Gitte Lindgaard Award. He has been on the Program Committee of many premier HCI conferences, including the ACM CHI LBW and the ACM MobileHCI. Before joining Ryerson University, he was an NSERC ENGAGE funded Postdoctoral Research Fellow at Flowton Tech. He has also worked for Microsoft Research, Redmond as a Research Intern. He received his Ph.D. in Computer Science from York University in 2013. He obtained his M.Sc. and B.Sc. in Computer Science from Lakehead University and Trent University, respectively.