Dr. Xialing Lin is an Assistant Professor of Corporate Communication at Penn State University – Worthington Scranton. Her research focuses on the new media and public relations functions within risk, crisis, and health contexts. Xialing’s recent research has been published in peer-reviewed journals such as Communication Studies, Computers in Human Behavior, and Communication Quarterly. Xialing received her Ph. D. from the University of Kentucky and M.A. from Western Michigan University. She is the Risk/Health Communication Research Fellow and the Risk/CrisisCommunication Research Fellow at the University of Kentucky, as well as the Post-Graduate Fellow of Communication & Social Robotics Labs at Western Michigan University. She also earned industry experience when working in advertising and public relations in China.
Riley Richards is a Ph.D. student at the University of Wisconsin – Milwaukee studying sexual communication between human romantic partners and human-robot interaction (HRI), a field more commonly known as “Lovotics.” Riley earned his B.A. and M.A. in Communication at Western Michigan University, where he concentrated on interpersonal communication between current and emerging sexual and romantic partners. Riley’s current research interests focus on interpersonal variables leading up to human-robot relationships, and the differences between them and human to human romantic relationships.
Brett Stoll is a PhD student at Cornell University studying human-robot interaction (HRI) in the field of communication. Brett received his bachelor's degree from Aquinas College in Grand Rapids, MI and his master's degree in communication from Western Michigan University where he concentrated in interpersonal communication and applying interpersonal theory to HRI. His MA thesis, "Examining the Effects of Robot-Enacted Guilt Appeals in a Human-Robot Negotiation", focused on how robot's inspire perceptions of credibility and concession through guilt trips. Brett's current research interests relate to how robots can strategically manage human affect in teams and the specific cues and characteristics that increase robot social desirability and credibility.