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Synchronous chat reference services have emerged as viable alternatives to the traditional face-to-face (FtF) library reference encounter. Research in virtual reference service (VRS) and client-librarian behavior is just beginning with a primary focus on task issues of accuracy and efficiency. This study is among the first to apply communication theory to an exploration of relational (socioemotional) aspects of VRS. It reports results from a pilot study that analyzed 44 transcripts nominated for the LSSI Samuel Swett Green Award (Library Systems and Services, Germantown, MD) for Exemplary Virtual Reference followed by an analysis of 245 randomly selected anonymous transcripts from Maryland AskUsNow! statewide chat reference service. Transcripts underwent in-depth qualitative content analysis. Results revealed that interpersonal skills important to FtF reference success are present (although modified) in VRS. These include techniques for rapport building, compensation for lack of nonverbal cues, strategies for relationship development, evidence of deference and respect, facesaving tactics, greeting and closing rituals. Results also identified interpersonal communication dynamics present in the chat reference environment, differences in client versus librarian patterns, and compensation strategies for lack of nonverbal communication.

Online question-answering (Q&A) services are becoming increasingly popular among information seekers. While online Q&A services encompass both virtual reference service (VRS) and social Q&A (SQA), SQA services, such as Yahoo! Answers and WikiAnswers, have experienced more success in reaching out to the masses and leveraging subsequent participation. However, the large volume of content on some of the more popular SQA sites renders participants unable to answer some posted questions adequately or even at all. To reduce this latter category of questions that do not receive an answer, the current paper explores reasons for why fact-based questions fail on a specific Q&A service. For this exploration and analyses, thousands of failed questions were collected from Yahoo! Answers extracting only those that were fact-based, information-seeking questions, while opinion/adviceseeking questions were discarded. A typology was then created to code reasons of failures for these questions using a grounded theory approach. Using this typology, suggestions are proposed for how the questions could be restructured or redirected to another Q&A service (possibly a VRS), so users would have a better chance of receiving an answer.

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