Publication

Compatibility and Interaction Style in Computer Graphics

AbstractRecent trends in human computer interaction have focused on representations based on physical reality [4, 5, 6, 8]. The idea is to provide richer, more intuitive handles for control and manipulation compared to traditional graphical user interfaces (GUIs) using a mouse. This trend underscores the need to examine the concept of manipulation and to further understand what we want to manipulate versus what we can easily manipulate. Implicit in this is the notion that the bias of the UI is often incompatible with user needs.The main goal of UI design is to reduce complexity while augmenting the ability of users to get their work done. A fundamental belief underlying our research is that complexity lies not only in what is purchased from the software and hardware manufacturers, but also in what the user creates with it. It is not just a question of making buttons and menus easier to learn and more efficient to use. It is also a question of “Given that I’ve created this surface in this way, how can it now be modified to achieve my current design objective?” (The observation is that how the user created the surface in the first place will affect the answer to the question.) Our thesis is that appropriate design of the system can minimize both kinds of complexity: that inherent in accessing the functionality provided by the vendor, and that created by the user. The literature focuses on the former. In what follows, we investigate some of the issues in achieving the latter. In so doing, we structure our discussion around questions of compatibility.

Download publication

Related Resources

See what’s new.

Publication

2020

Learning to Simulate and Design for Structural Engineering

The structural design process for buildings is time consuming and…

Publication

2012

Automatic Extraction of Causally Related Functions from Natural-Language Text for Biomimetic Design

Identifying relevant analogies from biology is a significant challenge…

Publication

2017

Annotation Graphs: A Graph-Based Visualization for Meta-Analysis of Data based on User-Authored Annotations

User-authored annotations of data can support analysts in the activity…

Article

2023

Recently Published by Autodesk Researchers

A round up of recent publications from scientific journals and…

Get in touch

Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.

Contact us