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Color match: an imaging based mobile cosmetics advisory service
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Source ACM International Conference Proceeding Series archive
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services table of contents
Amsterdam, The Netherlands
SESSION: Short papers table of contents
Pages 331-334  
Year of Publication: 2008
ISBN:978-1-59593-952-4
Authors
Jhilmil Jain  Hewlett-Packard Laboratories, Palo Alto, CA
Nina Bhatti  Hewlett-Packard Laboratories, Palo Alto, CA
Harlyn Baker  Hewlett-Packard Laboratories, Palo Alto, CA
Hui Chao  Hewlett-Packard Laboratories, Palo Alto, CA
Mohamed Dekhil  Hewlett-Packard Laboratories, Palo Alto, CA
Michael Harville  Hewlett-Packard Laboratories, Palo Alto, CA
Nic Lyons  Hewlett-Packard Laboratories, Palo Alto, CA
John Schettino  Hewlett-Packard Laboratories, Palo Alto, CA
Sabine Susstrunk  Hewlett-Packard Laboratories, Palo Alto, CA
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper we describe an exploratory study of a mobile cosmetic advisory system that enables women to select appropriate colors of cosmetics. This system is intended for commercial use to address the problem of foundation color selection. Although women are primarily responsible for making most purchasing decisions in the US, we found very few studies to assess the adoption of retail related mobile services by women. Based on surveys, semi-structured interviews, and focus groups, we have identified a number of design factors that should be considered when designing mobile services for women consumers. The results of our study indicate that while usefulness is an important factor, other design aspects such as mobile vs. kiosk, installed vs. existing software, technical comfort vs. social comfort, social vs. individual, privacy and trust should also be accounted for.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Estee Lauder foundation study. http://www.esteelauder.com/foundationstudy/
 
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Gavenas, M. L. Behind the Scenes of America's Billion-Dollar Beauty Industry. Simon & Schuster, 2002.
 
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Harville, M. et al. 2005. Consistent image-based measurement and classification of skin color. In Proc. of IEEE International Conference on Image Processing (2), 374--377.
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Johnson, L. and Learned, A. Don't Think Pink: What Really Makes Women Buy-- and How to Increase Your Share of This Crucial Market. AMACOM, New York, NY, 2004.
 
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Marguier J. et al. 2007. Color Correction of Uncalibrated Images for the Classification of Human Skin Color. In Proc. of the 15th Color Imaging Conference, 331--335.
 
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MIPC study finds women are key camera phone users. http://www.mobileprinting.org/news/press_releases/pr_10-01-07.pdf
 
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The Beauty Business, The Economist, May, 2003.
 
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The Six Costliest Mistakes You Can Make in Marketing to Women. http://www.inc.com/articles/2003/01/25019.html


Collaborative Colleagues:
Jhilmil Jain: colleagues
Nina Bhatti: colleagues
Harlyn Baker: colleagues
Hui Chao: colleagues
Mohamed Dekhil: colleagues
Michael Harville: colleagues
Nic Lyons: colleagues
John Schettino: colleagues
Sabine Susstrunk: colleagues