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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/1172

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Title: Human-machine design considerations in advanced machine-learning systems
Authors: Keates, Simeon
Varker, P.
Spowart, F.
Affiliation: University of Abertay Dundee. School of Computing & Engineering Systems
Keywords: Behavioral science
Global Positioning System
Human computer interaction
Knowledge based systems
Machine learning
User interfaces
Web search
Issue Date: Sep-2011
Publisher: International Business Machines Corporation (IBM)/IEEE
Type: Journal Article
Refereed: peer-reviewed
Rights: Published version (c)International Business Machines Corporation (IBM)/IEEE, available from http://dx.doi.org/10.1147/JRD.2011.2163274
Citation: Keates, S., Varker, P. and Spowart, F. 2011. Human-machine design considerations in advanced machine-learning systems. IBM Journal of Research and Development. 55(5): pp.4:1-4:10. Available from http://dx.doi.org/10.1147/JRD.2011.2163274
Abstract: This paper explores issues related to human–computer interaction with the new class of machine-learning systems that represent an exciting development on the frontiers of information technology. These systems represent a significant breakthrough in humanity's decades-long endeavor to build computers that are “more like us”—fundamentally designed to map to and support human abilities and where the needs of people are central to the design process. This paper examines the human aspects of developing such new technology, with a focus on question-and-answer machine-learning systems. Considerations such as how human behavior should be addressed in the design and development of such systems are presented, followed by a series of potential application domains for the new technology.
URI: http://hdl.handle.net/10373/1172
ISSN: 0018-8646
Appears in Collections:Computing & Engineering Systems Collection

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