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Andrew Fiore

Next steps in online dating: Moving toward social and affective context

Andrew Fiore

Contact Information
School of Information Management and Systems
University of California, Berkeley
http://web.media.mit.edu/~atf/

Biography
Andrew T. Fiore is studying mediated relationships as a Ph.D. student with Professor Marti Hearst at UC-Berkeley’s School of Information Management and Systems. For his master’s degree at the MIT Media Lab, he conducted an analysis of the messaging behavior of 57,000 users of an online dating system over an eight-month period. He also has an undergraduate degree from Cornell University, where he studied computer science and human-computer interaction. He has worked as an intern at Microsoft Research on analyzing and visualizing patterns of interaction in computer-mediated communication. His master’s thesis is available from http://web.media.mit.edu/~atf/.

Position Paper
Nearly a century ago, the Sears Roebuck catalog offered almost every good a person could want, shipped to your doorstep. Online dating provides such a catalog of potential mates. From the user’s perspective, the prospects seem bountiful; this surplus surpasses the scale of a singles bar by several orders of magnitude. However, current systems fail to provide many of the cues that people use to evaluate potential partners in an offline context. Although the catalog is immense, it’s hard to tell which items you would actually like to have. The process of identifying and communicating with a potential partner is not purely informational; it depends on social influence and affective processes. Facts about a potential partner matter less than our perception of the person they describe; this affective, holistic perception depends not just on facts but on our imagination, our emotional state, and the social context. The process isn’t fully rational or reducible. Yet online dating relies on factual search, an oversimplification mitigated only by the sheer number of possible partners they provide. Volume alone, however, doesn’t help users find a mate. New technologies and reconfigurations of existing approaches can give users better tools for this process. Some are possible today; others will take more time. Here are three major areas for improvement.

Use characteristics that matter. We know a great deal about what qualities influence attraction and marital satisfaction. We should revise profiles and matching algorithms to replace superfluous detail with more germane information. And matching should involve more than just similarity: for some characteristics, similarity is appealing, whereas for others, opposites attract. My master’s work examined which characteristics were desirable to 57,000 users on one system; their preferences corresponded closely to those predicted by psychological studies of attraction offline. This quantitative work needs as a complement a qualitative exploration of what users value.

Show, don’t tell. Research has shown that people have imperfect self-knowledge yet do not realize its imperfection. To ask users to describe themselves and whom they seek, then, is to invite misinformation. We should present users with ways to demonstrate who they are and what they like in a partner. Similarly, why not give communicating dyads an activity that allows them to learn about each other in context instead of describing themselves over email? (Jeana Frost at MIT is pursuing this agenda.)

Incorporate the biology of chemistry. Capturing the ephemeral elements of attraction that lurk just beneath our conscious perception of others remains the most difficult challenge for online dating. We can judge our unspoken attraction to someone almost instantly face-to-face, but weeks of online conversation are insufficient to the same task. Pheromones play some role in what we perceive as “chemistry,” perhaps promoting genetic compatibility and the potential for healthy children. Whatever the underlying mechanisms, the experience of chemistry is elusive in mediated channels. Finding a way to transfer that experience online, or predict what pairs of people will feel chemistry when they meet in person, would help online dating make the transition from shallow catalog to powerful tool.

 

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