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The challenges of user-centered design and evaluation for infrastructure

Published: 05 April 2003 Publication History

Abstract

Infrastructure software comprises code libraries or runtime processes that support the development or operation of application software. A particular infrastructure system may support certain styles of application, and may even determine the features of applications built using it. This poses a challenge: although we have good techniques for designing and evaluating interactive applications, our techniques for designing and evaluating infrastructure intended to support these applications are much less well formed. In this paper, we reflect on case studies of two infrastructure systems for interactive applications. We look at how traditional user-centered techniques, while appropriate for application design and evaluation, fail to properly support infrastructure design and evaluation. We present a set of lessons from our experience, and conclude with suggestions for better user-centered design and evaluation of infrastructure software.

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cover image ACM Conferences
CHI '03: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
April 2003
620 pages
ISBN:1581136307
DOI:10.1145/642611
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 05 April 2003

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CHI03: Human Factors in Computing Systems
April 5 - 10, 2003
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CHI '03 Paper Acceptance Rate 75 of 468 submissions, 16%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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  • (2020)Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music TechnologyFrontiers in Artificial Intelligence10.3389/frai.2020.000133Online publication date: 3-Apr-2020
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