This poster describes a methodology to numerically represent the happiness of a city by mining user generated terms in http://Flickr.com. As a pilot analysis, we collected 15,000 text records consisting of titles, tags, descriptions, and comments for the thirty most populous cities in the United States. Parsed text was utilized to calculate happiness scores (H‐Score) by matching text extracted from http://Flickr.com with a happiness index dictionary. In addition, we examined the relationships between the calculated H‐scores and real world phenomena including population, crime rate, and climate. Based on this pilot analysis, a future study is planed that involves a large dataset with prediction analysis.

This study aims to increase the use of virtual reference service by increasing the awareness of the availability of the service to users who really need it. A new situationally-based virtual reference interface, called the sVR interface, has been designed to reflect different levels of user search success. Findings from an eight-month field study done in a university library improved our understanding of how to effectively enhance the availability of virtual reference service to users who need it. A discussion about balancing the availability and the intrusiveness of virtual reference service is also provided.

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