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Brad Myers | Pick, Click, and Flick: Stories About Interaction Techniques | Stanford HAI

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eventSeminar

Brad Myers | Pick, Click, and Flick: Stories About Interaction Techniques

Status
Past
Date
Tuesday, October 21, 2025 5:30 PM - 7:30 PM PST/PDT
Location
Gates Computer Science Building Room 119 | 353 Serra Mall Stanford, CA 94305
Topics
Design, Human-Computer Interaction
Attend Virtually
Overview
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This talk will explain what interaction techniques are, why they are important and difficult to design and implement, and the history and future of a few interesting examples.

When people use technology and devices like a computer, smartphone, tablet, watch, game console, set top box, or other consumer electronics, interaction techniques (IxTs) are the low-level reusable building blocks out of which their user interfaces are constructed.

An interaction technique starts when the user performs an action that causes an electronic device to respond, and includes the direct feedback from the device to the user. Examples include physical buttons and switches, on-screen menus and scrollbars operated by a mouse or finger, touchscreen widgets and gestures such as flick-to-scroll and pinch-to-zoom, text entry on computers and touchscreens, input for virtual reality, consumer electronic controls such as remote controls, game controllers, input for virtual reality systems like waving a Nintendo Wii wand or your hands in front of a Microsoft Kinect, interactions with conversational agents such as Apple Siri, Google Assistant, Amazon Alexa or Microsoft Cortana, and adaptations of all of these for people with disabilities.

This talk will be based on Brad Myers’s university courses and his new book on this topic.

Speaker
Brad Myers
Charles M. Geschke (SCS 1973) Director of the Human-Computer Interaction Institute and Professor in the School of Computer Science at Carnegie Mellon University, with an affiliated faculty appointment in the Software and Societal Systems Department

This research seminar is presented in collaboration with ACM BayCHI

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Event Contact
Stanford HAI
stanford-hai@stanford.edu
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