Fixing the Program My Computer Learned: Barriers for End Users, Challenges for the Machine

Kulesza, T., Wong, W. -K., Stumpf, S. , Perona, S., White, R., Burnett, M. M., Oberst, I. and Ko, A. J. (2009) Fixing the Program My Computer Learned: Barriers for End Users, Challenges for the Machine. In: 14th International Conference on Intelligent User Interfaces (IUI '09), Sanibel Island, FL, USA, 08-11 Feb 2009, pp. 187-196. ISBN 9781605581682 (doi: 10.1145/1502650.1502678)

Abstract

The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it matters, because without the ability to fix errors users may find that the learned program's errors are too damaging for them to be able to trust such programs. We present a new approach to enable end users to debug a learned program. We then use an early prototype of our new approach to conduct a formative study to determine where and when debugging issues arise, both in general and also separately for males and females. The results suggest opportunities to make machine-learned programs more effective tools.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Stumpf, Dr Simone
• Authors: Kulesza, T., Wong, W. -K., Stumpf, S., Perona, S., White, R., Burnett, M. M., Oberst, I., and Ko, A. J.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: International Conference on Intelligent User Interfaces, Proceedings IUI
• ISBN: 9781605581682

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