2019-20

Abstract

Awareness of fluctuating levels of cognitive performance measures will support better management of tasks, allow for the development of new adaptable user interfaces informed by cognitive states, and will potentially serve long term health of users by avoiding frustration resulting from mismatched task demand and available cognitive performance. Technology pervasively surrounds us and enables a virtually uninterrupted information retrieval and distribution, resulting in a constant communication between people and computers. One of the key functions of a computer is to support its user and react to input with the response expected or desired by the users, requiring an understanding of context. By using explicit and implicit input modalities we can increase the information density and allow computers to better interpret the user's context, making them context-aware. This research has mainly used consumer products, such as eyewear equipped with sensors for measuring eye movement, and infrared cameras and sensors to obtain measurements of changing facial temperature. We are showing that available solutions enable us to infer states of alertness, sustained attention, and cognitive workload. The concepts, results, and tools detailed in this research, can help professionals, researchers and students to gain insights into the potential of context-aware systems, here in particular cognition-aware systems.

Biography

Benjamin Tag is a Ph.D. candidate and researcher at the Graduate School of Media Design at Keio University. His research interest is located in the fields of Human-Computer Interaction, with special focus on Cognition-Aware Systems. He is investigating ways to understand human cognition by combining methods from the fields of cognitive psychology and pervasive computing. Specifically, he is interested in using ubiquitous technologies to augment the process of knowledge acquisition through implementing proactive recommender and intervention systems.

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A common task for users of desktop or mobile computers is the input of text. Whether preparing a report or 'texting' a friend about where to have lunch, we can't avoid this ubiquitous computing task. This talk will explore analytic methods of characterizing and comparing text input methods. We are interested in quantifying the work invested to enter text. For the Qwerty keyboard, entering "hello" takes five keystrokes. If input uses a soft keyboard on a smartphone combined with word completion, fewer keystrokes, or finger taps, are required. A special case is an ambiguous keyboard: fewer keys, >1 letter per key. The phone keypad places 26 letters on just 8 keys. But, what about other keyboards with 26 letters on, say, 7 keys, or 6 keys, or 5 keys, or ... How about text entry with just one key? This talk will present, compare, and quantify the text input process for a variety of keyboards, some with as few a 1 key.

Biography

Scott MacKenzie's research is in human-computer interaction with an emphasis on human performance measurement and modeling, experimental methods and evaluation, interaction devices and techniques, text entry, touch-based input, language modeling, accessible computing, gaming, and mobile computing. He has more than 170 peer-reviewed publications in the field of Human-Computer Interaction (including more than 30 from the ACM's annual SIGCHI conference) and has given numerous invited talks over the past 25 years. In 2015, he was elected into the ACM SIGCHI Academy. That same year he was the recipient of the Canadian Human-Computer Communication Society's (CHCCS) Achievement Award. Since 1999, he has been Associate Professor of Computer Science and Engineering at York University, Canada.

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