Slide 1___________________________________________________________________________________________________ SCHOOL OF INTERACTIVE ARTS + TECHNOLOGY [SIAT] | WWW.SIAT.SFU.CA…

1. Input: Devices and Theory 2. Input for Selection and Positioning      Devices Power Law of Practice Fitt’s Law (2D, 3D lag) Eye hand coordination Two…

Slide 1Artificial Intelligence in Medicine HCA 590 (Topics in Health Sciences) Rohit Kate 8. Machine Learning, Support Vector Machines Many of the slides have been adapted…

Slide 1 Human Factors and User Interfaces in Energy Efficiency Lin Zhong ELEC518, Spring 2011 Slide 2 2 Motivation Operating system Application Software Hardware User interface…

Slide 11 1 ITM 734 Introduction to Human Factors in Information Systems Cindy Corritore [email protected] This material has been developed by Georgia Tech HCI faculty, and…

Slide 1Today we will focus on two basic models of learning, classical and operant conditioning. Specific topics include: Pavlov's classical conditioning and how it might…

Slide 1 Amit Sethi, EEE, IIT G @ Cepstrum, Oct 16, 2011 1 Slide 2 Objectives:  Understand what is machine learning  Motivate why it has become so important  Identify…

Slide 1 Predictive Evaluation Predicting performance Slide 2 Predictive Models Translate empirical evidence into theories and models that can influence design. Performance…

Slide 1 Predictive Evaluation Simple models of human performance Slide 2 Recap I. Senses A. Sight B. Sound C. Touch D. Smell II. Information processing A. Perceptual B. Cognitive…

Slide 1 1 CS 391L: Machine Learning Introduction Raymond J. Mooney University of Texas at Austin Slide 2 2 What is Learning? Herbert Simon: “Learning is any process by…