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Alannah Oleson – ProQuest LLC, 2023
To realize more equitable technology futures, it is not enough to simply adapt technology to be more inclusive "after" it is created. We will also need to equip technology creators with the skills they need to critically reflect upon bias and exclusion "during" the technology design process. The question of how to best to…
Descriptors: Computation, Computer Science Education, Inclusion, Decision Making
James D. Stevens – ProQuest LLC, 2021
The ability to efficiently optimize or re-optimize an algorithm for high performance on a particular processor architecture is crucial in a wide spectrum of engineering and scientific applications. To help bridge the gap between fully automated optimization, which does not reliably produce optimal code, and fully manual optimization, which is…
Descriptors: Computation, Programming, Computer Graphics, Automation
Frank, Jared Alan – ProQuest LLC, 2017
In just a short time, mobile devices have revolutionized the way we access information and interact with each other. With an ever expanding list of sensors and features, these devices are also capable of reshaping our experiences with physical systems. Prior efforts to explore this potential of mobile devices have often considered traditional user…
Descriptors: Handheld Devices, Robotics, Interaction, Computer Interfaces
Bridging Social and Semantic Computing - Design and Evaluation of User Interfaces for Hybrid Systems
Bostandjiev, Svetlin Alex I. – ProQuest LLC, 2012
The evolution of the Web brought new interesting problems to computer scientists that we loosely classify in the fields of social and semantic computing. Social computing is related to two major paradigms: computations carried out by a large amount of people in a collective intelligence fashion (i.e. wikis), and performing computations on social…
Descriptors: Web 2.0 Technologies, Semantics, Language Processing, Computer Interfaces
Ji, Shengyue – ProQuest LLC, 2011
Traditional information systems return answers after a user submits a complete query. Users often feel "left in the dark" when they have limited knowledge about the underlying data, and have to use a try-and-see approach for finding information. The trend of supporting autocomplete in these systems is a first step towards solving this problem. A…
Descriptors: Information Systems, Online Searching, Search Strategies, Computer Interfaces