Self-Adaptive Website User Interface Optimization Framework
Department
Computer Science
Major
Computer Science and Computer Engineering
Research Advisor
Tauritz, Daniel R.
Advisor's Department
Computer Science
Funding Source
Self-Funded
Abstract
Billions of people worldwide use the internet. Unfortunately, many of these people struggle in finding the information they seek in a timely fashion. Oftentimes, website users struggle with information overload -- they are overwhelmed with so much material that it is difficult to know where to go next. Additionally, it is common that frequently used items are hard to navigate to within a layout.
To overcome these struggles, this framework uses Fitts' Law as a metric for optimizing website user interfaces so that users can use a layout customized to their needs. Optimization is achieved through both local and global optimum to ensure adaptations are clear and concise so there is no user confusion. In addition, this framework does not rely on any explicit user input or feedback minimally effecting the user experience.
Biography
Alexander is a senior in Computer Science and Computer Engineering with a minor in Mathematics. His related interests are in web development and artificial intelligence having both maintained a web development business for nearly three years and taken two classes in AI while at Missouri S&T. Alexander is also involved in the music program at Missouri S&T having performed in marching band, jazz ensemble, pep band, trumpet choir, brass choir, and a brass quintet. He has also served the marching band as assistant drum major. Additionally, Alexander is part of the honorary music fraternity, Kappa Kappa Psi, in which he has held several positions. Upon graduating in May 2011, Alexander is slated to work as a software engineer for Stauder Technologies in Saint Peters, Missouri where he will work on military contracted software projects in the growing company.
Research Category
Sciences
Presentation Type
Poster Presentation
Document Type
Poster
Location
Upper Atrium/Hallway
Presentation Date
06 Apr 2011, 9:00 am - 11:45 am
Self-Adaptive Website User Interface Optimization Framework
Upper Atrium/Hallway
Billions of people worldwide use the internet. Unfortunately, many of these people struggle in finding the information they seek in a timely fashion. Oftentimes, website users struggle with information overload -- they are overwhelmed with so much material that it is difficult to know where to go next. Additionally, it is common that frequently used items are hard to navigate to within a layout.
To overcome these struggles, this framework uses Fitts' Law as a metric for optimizing website user interfaces so that users can use a layout customized to their needs. Optimization is achieved through both local and global optimum to ensure adaptations are clear and concise so there is no user confusion. In addition, this framework does not rely on any explicit user input or feedback minimally effecting the user experience.
