DocumentCode :
2868353
Title :
Quantitative Early-Phase User Research Methods: Hard Data for Initial Product Design
Author :
Chapman, Christopher N. ; Love, Edwin ; Alford, James L.
Author_Institution :
Microsoft Corp., Redmond
fYear :
2008
fDate :
7-10 Jan. 2008
Firstpage :
37
Lastpage :
37
Abstract :
We describe questions that commonly arise in early-phase user research for new technology products concerning customer needs, priorities, and market definition. We suggest that methods adopted from marketing research, statistics, and game theory may be helpful for user researchers to answer those questions. We show how these methods have been applied to real problems and decisions for a new product line at Microsoft. These methods are especially appropriate for HCI professionals because they require solid experience with experimental research and statistical methodology and complement other user research tools. The methods may be most effective when combined with detailed research on user tasks, goals, and interaction models. When research is synthesized in this way, it can make a strong contribution to product definition and business strategy.
Keywords :
game theory; human computer interaction; market research; product design; statistical analysis; HCI; customer needs; game theory; human computer interaction; marketing research; product design; product line; quantitative early-phase user research methods; statistics; Design engineering; Game theory; Human computer interaction; Market research; Marketing and sales; Product design; Solids; Statistical analysis; Statistics; Usability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hawaii International Conference on System Sciences, Proceedings of the 41st Annual
Conference_Location :
Waikoloa, HI
ISSN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2008.367
Filename :
4438741
Link To Document :
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