We present data from detailed observations of CityWall, a large multi-touch display installed in a central location in Helsinki, Finland. During eight days of installation, 1199 persons interacted with the system in various social configurations. Videos of these encounters were examined qualitatively as well as quantitatively based on human coding of events. The data convey phenomena that arise uniquely in public use: crowding, massively parallel interaction, teamwork, games, negotiations of transitions and handovers, conflict management, gestures and overt remarks to co-present people, and "marking" the display for others. We analyze how public availability is achieved through social learning and negotiation, why interaction becomes performative and, finally, how the display restructures the public space. The multi-touch feature, gesture-based interaction, and the physical display size contributed differentially to these uses. Our findings on the social organization of the use of public displays can be useful for designing such systems for urban environments.

Traditionally, mobile media sharing and messaging has been studied from the perspective of an individual author making media available to other users. With the aim of supporting spectator groups at large-scale events, we developed a messaging application for camera phones with the idea of collectively created albums called Media Stories. The field trial at a rally competition pointed out the collective and participative practices involved in the creation and sense-making of media, challenging the view of individual authorship. Members contributed actively to producing chains of messages in Media Stories, with more than half of the members as authors on average in each story. Observations indicate the centrality of collocated viewing and creation in the use of media. Design implications include providing a ""common space"" and possibilities of creating collective objects, adding features that enrich collocated collective use, and supporting the active construction of awareness and social presence through the created media.

Social context is an important yet an under-researched area in context-sensitive computing. This paper adopts a framework from social sciences that views social context as a sequence of turns taken between participants. The approach is illustrated and evaluated through three empirical cases. The results show that social context is not a static and passive surrounding of a device, but dynamic and constructed by people. Challenges and restrictions for modelling social context through turntaking are identified.