Conference proceeding
Did you see a horse at Foxfield? A social norms approach for targeting the negative consequences of hazardous drinking
2008 SYSTEMS AND INFORMATION ENGINEERING DESIGN SYMPOSIUM, pp 289-294
01 Jan 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Using survey results that measured college student drinking norms and related behaviors at the 2007 Spring Foxfield Races, marketing materials based on the social norms approach were developed. To ensure credibility of the message source and effectiveness of the posters, focus group sessions were conducted to measure student reaction and collect feedback Graduate students in a human factors class and representatives of the Foxfield Races Strategy Group (Foxfield Racing Association, law enforcement and community groups) also provided feedback. Students responded wen to the transportation and medical information posters. Students, along with other stakeholders, did not respond well to the posters created to reflect healthier drinking norms. The final posters therefore highlighted safety information with the goal of decreasing negative consequences experienced at Foxfield.
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3 citations in Scopus
Details
- Title
- Did you see a horse at Foxfield? A social norms approach for targeting the negative consequences of hazardous drinking
- Creators
- Michael C. Purvis - University of VirginiaMarin S. Odioso - University of VirginiaMonica C. Weaver - University of VirginiaMatthew H. White - University of VirginiaEllen J. Bass - University of VirginiaSusan E. Bruce - University of VirginiaIEEE
- Publication Details
- 2008 SYSTEMS AND INFORMATION ENGINEERING DESIGN SYMPOSIUM, pp 289-294
- Conference
- 2008 SYSTEMS AND INFORMATION ENGINEERING DESIGN SYMPOSIUM
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- U.Va. Parents Program Foxfield Racing Association Office of Health Promotion Z Society
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000259358400053
- Scopus ID
- 2-s2.0-51749102241
- Other Identifier
- 991019292127104721
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- Web of Science research areas
- Computer Science, Information Systems
- Telecommunications