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About MeWelcome! I am a Human-Computer Interaction researcher currently working as a post-doctoral research assistant at the University of Maryland-Baltimore County in Baltimore, MD. I work in the Human-Centered Computing research area group in the Information Systems Department. My current projects include (1) exploring ways to detect and predict user “stress” from multimodal input, and (2) the development, evaluation and extension of a fast and simple multi-stroke gesture recognizer called $N. My general research interests involve the integration of multimodal technologies into cohesive, natural user interfaces for people using computers in a variety of tasks and environments, and how these technologies can automatically adapt to user, environment and task needs based on current context cues. I focus on studying ways in which these technologies can provide benefits to potential end users, by using design principles based on properties of human cognition and perception, and by working directly with the target population for a new system to design, develop and evaluate new interface and interaction paradigms. Previously, I received my Ph.D. degree from the Human Computer Interaction Institute (HCII) in the School of Computer Science (SCS) at Carnegie Mellon University in Pittsburgh, Pennsylvania. My thesis work focused on the area of handwriting-based…
Recent News
My Substack
Research
- INIT Lab
- Publications
University of Florida

About MeWelcome! I am a Human-Computer Interaction researcher currently working as a post-doctoral research assistant at the University of Maryland-Baltimore County in Baltimore, MD. I work in the Human-Centered Computing research area group in the Information Systems Department. My current projects include (1) exploring ways to detect and predict user “stress” from multimodal input, and (2) the development, evaluation and extension of a fast and simple multi-stroke gesture recognizer called $N. My general research interests involve the integration of multimodal technologies into cohesive, natural user interfaces for people using computers in a variety of tasks and environments, and how these technologies can automatically adapt to user, environment and task needs based on current context cues. I focus on studying ways in which these technologies can provide benefits to potential end users, by using design principles based on properties of human cognition and perception, and by working directly with the target population for a new system to design, develop and evaluate new interface and interaction paradigms. Previously, I received my Ph.D. degree from the Human Computer Interaction Institute (HCII) in the School of Computer Science (SCS) at Carnegie Mellon University in Pittsburgh, Pennsylvania. My thesis work focused on the area of handwriting-based…
Recent News
My Substack
Research
- INIT Lab
- Publications
University of Florida

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Lisa Anthony, Ph.D.

Talk / Presentation

May·8·2012

Come see our CHI work-in-progress poster!

My student Samyukta Ganesan‘s CHI 2012 Work-in-Progress poster titled “Using the Kinect to Encourage Older Adults to Exercise: A Prototype” will be on display at CHI starting tomorrow morning in the Commons Hall. Our official poster highlight time slot is… Read more.

Lisa Anthony

1–2 minutes
Nov·17·2011

ICMI 2011 MMCogEmS talk posted!

The ICMI 2011 MMCogEmS workshop was held today and our talk was very well-received! I am confident that some interesting collaboration opportunities will come out of participating in this workshop. The slides for the talk itself are posted here. See… Read more.

Lisa Anthony

1–2 minutes

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Talk / Presentation

Come see our CHI work-in-progress poster!

ICMI 2011 MMCogEmS talk posted!