题目: Measuring “fun” while playing computer games
主讲人: M. Stella Atkins 教授（加拿大Simon Fraser University）
时间: 2006年10月25日星期三上午10:00
地点: 浙大紫金港校区信息与控制大楼4楼CAD&CG国家重点实验室402室
Measuring “fun” while playing computer games
M. Stella Atkins, Medical Image Computing Analysis (MICA) Laboratory, School of Computing Science, Simon Fraser University, Vancouver, BC. Canada
Abstract
One of the projects performed in the Medical Image Computing Analysis (MICA) Laboratory at SFU involves using physiological sensors to measure emotions experienced by users while playing computer games. Computer and console game markets continue to grow rapidly, and game manufacturers are using emerging technologies to develop novel play environments. However, evaluating the success of interactive play environments is still an open research challenge. Both subjective and objective techniques fall short due to limited evaluative bandwidth; there remains no corollary in play environments to task performance with productivity systems.
In the talk I will describe how we developed methods to use physiological sensors to model human emotions while users are interacting with play technologies, and describe some of the problems we encountered along the way. Modeled emotions are powerful because they capture usability and playability through metrics relevant to ludic experience; they account for user emotion; are quantitative and objective; and are represented continuously over a session.
Our modeled emotions showed the same trends as reported emotions for fun, boredom, and excitement. The modeled emotions also revealed differences between three play conditions, while the differences between the subjective reports failed to reach significance.
M. Stella Atkins is a Professor in the School of Computing Science at Simon Fraser University, and Co-Director of the Medical Image Computing Analysis Lab at SFU. Her research interests include medical image display and analysis, and computers in medicine. This includes medical image segmentation, brain atrophy studies, image registration, denoising and enhancement, and radiology workstation design. Additionally, she is interested in the use of eyetrackers, which provide a new imaging modality for seeing inside the brain, and other sensors for measuring physiological signals. She received her PhD in Computer Science from the University of British Columbia in 1985, and her BSc degree in Chemistry from Nottingham University, England, in 1966.
See: http://www.cs.sfu.ca/~stella/
主讲人: M. Stella Atkins 教授（加拿大Simon Fraser University）
时间: 2006年10月25日星期三上午10:00
地点: 浙大紫金港校区信息与控制大楼4楼CAD&CG国家重点实验室402室
Measuring “fun” while playing computer games
M. Stella Atkins, Medical Image Computing Analysis (MICA) Laboratory, School of Computing Science, Simon Fraser University, Vancouver, BC. Canada
Abstract
One of the projects performed in the Medical Image Computing Analysis (MICA) Laboratory at SFU involves using physiological sensors to measure emotions experienced by users while playing computer games. Computer and console game markets continue to grow rapidly, and game manufacturers are using emerging technologies to develop novel play environments. However, evaluating the success of interactive play environments is still an open research challenge. Both subjective and objective techniques fall short due to limited evaluative bandwidth; there remains no corollary in play environments to task performance with productivity systems.
In the talk I will describe how we developed methods to use physiological sensors to model human emotions while users are interacting with play technologies, and describe some of the problems we encountered along the way. Modeled emotions are powerful because they capture usability and playability through metrics relevant to ludic experience; they account for user emotion; are quantitative and objective; and are represented continuously over a session.
Our modeled emotions showed the same trends as reported emotions for fun, boredom, and excitement. The modeled emotions also revealed differences between three play conditions, while the differences between the subjective reports failed to reach significance.
M. Stella Atkins is a Professor in the School of Computing Science at Simon Fraser University, and Co-Director of the Medical Image Computing Analysis Lab at SFU. Her research interests include medical image display and analysis, and computers in medicine. This includes medical image segmentation, brain atrophy studies, image registration, denoising and enhancement, and radiology workstation design. Additionally, she is interested in the use of eyetrackers, which provide a new imaging modality for seeing inside the brain, and other sensors for measuring physiological signals. She received her PhD in Computer Science from the University of British Columbia in 1985, and her BSc degree in Chemistry from Nottingham University, England, in 1966.
See: http://www.cs.sfu.ca/~stella/
