Category: research

Dr. Guo Freeman, Assistant Professor of Human-Centered Computing, receives a $399,785 HCC Small grant from the National Science Foundation (NSF). This three-year project investigates how people experience harassment in new and potentially disruptive ways in nuanced online social spaces to design novel and safer social technologies to protect them, promote trust among users, and mitigate emerging online risks.

Professor Rong Ge and her Ph.D. students Thomas Randall and Tyler Allen have won the Best Paper Overall Award at the ACM premier International Conference on Supercomputing 2021.

Professor Yin Yang co-authors three SIGGRAPH papers that will appear in ACM’s premier conference in graphics and interactive techniques, spanning topics of simulation contact, model reduction, and rendering. A fourth paper will also be presented, as an ACM Transactions on Graphics (TOG) paper.

Michael Payne has been promoted to Lead Data Engineer on the Tickets Data Engineering team at Cirium. Michael will continue to be a contributor on the team but will take on additional responsibilities in people management and team organization. Michael holds a B.S. in Computer Science from the University of Arkansas at Pine Bluff, an M.S. in Computer Science from North Carolina A&T University.  He was recruited into the Ph.D. program in Computer Science at Clemson in 2013, where he worked under the direction of Dr. Amy Apon.

Clemson Computing and Communication researchers aim to Reduce race and gender bias through diverse representation in videogames Clemson researchers have developed a short 2D videogame with an important societal purpose. The research by recent Human-Centered Computing Ph.D. graduate Marie Jarrell and co-authors Reza Ghaiumy Anaraky, Dr. Bart Knijnenburg, and Dr. Erin Ash demonstrates how changing […]

Clemson researchers demonstrate important differences in online privacy decision-making between older and younger adults Despite the vast benefits technology can provide to older adults, older adults’ tech usage is–by far–below other populations. The popular opinion is that they are not tech-savvy and cannot keep up with the fast-paced of technology. Researchers at the School of […]

Smart Home devices like smart lights, thermostats, and doorbells are gaining popularity because of the connected and automated experience they render to their users. This user experience is made possible by collecting and processing data about end-user behaviors. As this data is deemed sensitive and intimate, users tend to demand fine-grained control over their privacy preferences. But are users equipped to exert such a detailed level of control over their Smart Home devices?

HATLab researchers Dr. Bart P. Knijnenburg, Ph.D. student Paritosh Bahirat and Dr. Yangyang He (Alumnus) joined hands with Dr. Martijn Willemsen and Dr. Qizhang (Kevin) Sun from TU Eindhoven’s (Netherlands) Process Tracing Lab to answer this very question.

Dr. Bart Knijnenburg recognized as “Academic of the Month” by Facebook Research. HCC (Human-Centered Computing) Ph.D. student Moses Namara awarded a Fellowship from the UC Berkeley Center for Technology, Society & Policy…

Graduate students Rohith and Roshan Venkatakrishnan, Dr. Sab Babu, and collaborators produced a paper titled, “Comparative Evaluation of Digital Writing and Art in Real and Immersive Virtual Environments.” In this project the authors built a one-of-a-kind simulation to study how perception-action coordination and motor control affected digital writing, coloring, sketching, tracing, and drawing in VR and real-world situations.

Collective intelligence focuses on the ways in which technology can enhance teamwork by enabling groups of people to arrive at insights that escape the experts. Research in the School of Computing focuses on the intersection between collective intelligence and machine learning, specifically in the context of humans and AI working together as a team.  The work combines unique and often creative insights that different configurations of human-machine teams can arrive at even in domains where the problems are too complex for the AI alone to solve.