"Lec 14 - Automatically Generating Personalized Adaptive User Interfaces" May 2, 2008 lecture by Krzysztof Gajos for the Stanford University Human Computer Interaction Seminar (CS547). User Interfaces delivered with today's software are usually created in a one-size-fits-all manner, making implicit assumptions about the needs, abilities, and preferences of the "average user" and the characteristics of the "average device." Krzysztof Gajos argues that personalized user interfaces, which are adapted to a persons devices, tasks, preferences, and abilities, can improve user satisfaction and performance. CS 547 | Human-Computer Interaction Seminar: http://hci.stanford.edu/seminar/ Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanford/
Video is embedded from external source so embedding is not available.
Video is embedded from external source so download is not available.
Channels: Computer Science
Tags: Lec 14 - Automatically Generating Personalized Adaptive User Interfaces
Uploaded by: stanfordcompint7 ( Send Message ) on 14-09-2012.
Duration: 78m 10s
No content is added to this lecture.
This video is a part of a lecture series from of stanford
Lec 1 - Designing Interactions that Combine Pen, Paper, and PC
Lec 2 - Accountability of Presence: Location Tracking Beyond Privacy
Lec 3 - Augmented Social Cognition
Lec 4 - Designing a Health Care Interface
Lec 5 - Toward Adaptive Services for Personal Archiving
Lec 6 - Data Modeling and Conceptual Sketching in the Design Process
Lec 7 - ChucK: A Computer Music Programming Language
Lec 8 - Context Aware Computing: Understanding Human Intention
Lec 9 - Adaptive Interaction Techniques for Sharing Design Resources
Lec 10 - Technologies for Collaborative Democracy
Lec 11 - Designing for Cuba: Necessary In(ter)vention
Lec 12 - The Past, Present, and Future of Digital Memories
Lec 13 - The Democratization of Ubiquitous Computing
Lec 15 - MySong: Automatic Accompaniment for Vocal Melodies
Lec 16 - Automating & Customizing the Web With Keyword Programming