MAGIC LAB SOCIALs
DATE: Friday, May 3, 2013
TIME: 12:00 - 1:00 PM
PLACE: Hugh Dempster Pavilion - 6245 Agronomy Road V6T 1Z4
SPEAKER: Shi Lei
TITLE: Kansei Research Research and Approach for Supporting User Behaviors
ABSTRACT: Kansei Engineering is a technology initiated in Japan for developing products that bring more happiness and satisfaction to user and consumer. Over the past 30 years, researches on Kansei have been explored from engineering to Kansei science, in which Kansei means advanced mental function that harmonizes knowledge, emotion and aesthetics. In my study, Kansei is considered as an implicit information processing system going with and interacting with cognitive information processing, to generate feelings on objects, affective appraisal, personalized experience, etc. Grasping user Kansei towards product or system contributes to design affective way to assistant user cognitive information processing and enrich user experience. The talk will discuss how Kansei can be understood and evaluated in the field of user interface, as well as approaches and challenges in Kansei supporting user behaviours.
Lei Shi is an associate professor of Industrial Design in College of Design & Arts, Beijing Institute of Technology. Lei Shi received MS in Industrial Design from Beijing Institute of Technology (1997) and Ph. D in Kansei Science from University of Tsukuba (2007). She has engaged in researches of affective interaction, design education, and product design over 15 years. In Beijing Institute of Technology her mainly being in charge of lectures includes industrial design, design psychology and interaction design, etc. Her current research interest in exploring affective and intuitive ways to improve human-machine communication and computer mediated interpersonal communication, Kansei supporting for user’s information behaviour towards product and system.
DATE: Friday, June 7, 2013
TIME: 12:00 - 1:00 PM
PLACE: Forestry Science Centre
ROOM: FSC 2300A - MAGIC lab
SPEAKER: Brian Fisher
TITLE: Visual Analytics as a Cognitive Science
Abstract This talk explores the larger implications of visual analytics-- “the science of analytical reasoning facilitated by interactive visual interfaces”-- for cognitive science and informatics. I will argue that the methods that will advance this new science go beyond those of natural science and engineering, and will require researchers to create a new translational cognitive science of analytic systems. We will begin by building field study methods that characterize human and computational cognitive capabilities as they are used for decision-making in a range of situations. Because findings from field methods do not generalize well, we must then investigate these proposed capabilities in the laboratory. Finally we must build mathematical and computational theories that predict the impact of changes in technology on cognitive processes in technology-rich environments. These methods will only suffice until processing capacity reduces the lag between an analyst's query and a graphical response to a certain level. When the response is generated at the same pace as the sequence of cognitive operations that the analyst performs, human and computational processes become "close coupled". At this point the distinction between processes originating from the mind of the analyst (i.e. a mental representation) versus the computer (i.e. a visualization) become impossible to determine, and the subsystems we will study will seamlessly incorporate natural and artificial processes.
Brian Fisher is Associate Professor of Interactive Arts and Technology and Cognitive Science at Simon Fraser University and Associate Director of the Media and Graphics Interdisciplinary Centre (MAGIC) at the University of British Columbia. He is also a member of the SFU Centre for Interdisciplinary Research in the Mathematical and Computational Sciences, and the UBC Brain Research Centre and Institute for Computing, Intelligent and Cognitive Systems. His research focuses on the cognitive science of human interaction with visual information systems, with the goal of developing new theories and methodologies for development and evaluation of technology to support human understanding, decision-making, and coordination of operations. This work is supported by the Natural Science and Engineering Research Council of Canada for applications in disaster preparedness and response with matching funding from the US Department of Homeland Security Command, Control and Interoperability Center of Excellence, and by the Boeing Company on understanding aircraft safety, reliability, and maintainability data with matching funding from the Mathematics of Information Technology and Complex Systems Network of Centres of Excellence (Canada).