Massively multiplayer online games (MMOGs) can be fascinating laboratories to observe group dynamics online. In particular, players must form persistent associations or "guilds" to coordinate their actions and accomplish the games' toughest objectives. Managing a guild, however, is notoriously difficult and many do not survive very long. In this paper, we examine some of the factors that could explain the success or failure of a game guild based on more than a year of data collected from five World of Warcraft servers. Our focus is on structural properties of these groups, as represented by their social networks and other variables. We use this data to discuss what games can teach us about group dynamics online and, in particular, what tools and techniques could be used to better support gaming communities.

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Massively Multiplayer Online Role Playing Games (MMORPGs) have become complex social worlds. As such, playing these games requires more than accomplishing simple objectives: it is also a process of socialization into a community of gamers. Through our observation of players' activities we describe how MMORPGs provide opportunities for learning social skills such as: how to meet people; how to manage a small group; how to coordinate and cooperate with people; and how to participate in sociable interaction with them. We show how this social learning is tied to three important types of social interaction that are characteristic of MMORPGs: players' self-organization, instrumental coordination, and downtime sociability. We conclude by discussing the societal impacts of our findings and how the features of MMORPGs could be repurposed in environments specifically designed for social learning.

Media research has shown that people enjoy watching television as a part of socializing in groups. However, many constraints in daily life limit the opportunities for doing so. The Social TV project builds on the increasing integration of television and computer technology to support sociable, computer-mediated group viewing experiences. In this paper, we describe the initial results from a series of studies illustrating how people interact in front of a television set. Based on these results, we propose guidelines as well as specific features to inform the design of future "social television" prototypes.

Massively Multiplayer Online Games (MMOGs) routinely attract millions of players but little empirical data is available to assess their players' social experiences. In this paper, we use longitudinal data collected directly from the game to examine play and grouping patterns in one of the largest MMOGs: World of Warcraft. Our observations show that the prevalence and extent of social activities in MMOGs might have been previously over-estimated, and that gaming communities face important challenges affecting their cohesion and eventual longevity. We discuss the implications of our findings for the design of future games and other online social spaces.

A two-part quantitative and qualitative study of role players within a virtual game world examined their prevalence, practices, and identity formation. Drawing on unobtrusive behavioral data captured by the game, combined with a large survey and traditional ethnographic methods, the study found that role players both negotiate identity and use their time online as a moratorium for their offline lives. Descriptive results showed that role players are a relatively small, but psychologically burdened subgroup. When examined from the theoretical perspectives of Goffman’s Self-Presentation theory, Huizenga’s Magic Circle, and Turkle’s early work on online identity formation, these players were seen as largely using virtual spaces as creative outlets and for socialization. The worlds also functioned as coping mechanisms for players frequently unable to gain acceptance, social connectivity or social support offline due to their personal situation, psychological profile, or their minority status.

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Low-vision and blind bus riders often rely on known physical landmarks to help locate and verify bus stop locations (e.g., by searching for an expected shelter, bench, or newspaper bin). However, there are currently few, if any, methods to determine this information a priori via computational tools or services. In this article, we introduce and evaluate a new scalable method for collecting bus stop location and landmark descriptions by combining online crowdsourcing and Google Street View (GSV). We conduct and report on three studies: (i) a formative interview study of 18 people with visual impairments to inform the design of our crowdsourcing tool, (ii) a comparative study examining differences between physical bus stop audit data and audits conducted virtually with GSV, and (iii) an online study of 153 crowd workers on Amazon Mechanical Turk to examine the feasibility of crowdsourcing bus stop audits using our custom tool with GSV. Our findings reemphasize the importance of landmarks in nonvisual navigation, demonstrate that GSV is a viable bus stop audit dataset, and show that minimally trained crowd workers can find and identify bus stop landmarks with 82.5% accuracy across 150 bus stop locations (87.3% with simple quality control).