Receiving poor results from a personalized recommendation system is frustrating. When users try to compensate by putting on a "different face" and game the system, the results can be even more frustrating. This paper investigates how to improve the user experience of such systems by: 1) adding personal photos to increase self-awareness, and 2) providing recommendations interspersed with personal questions. A 2x2 web experiment (N=56) within the context of an online dating match recommendation system was used to assess these two effects. Displaying a person's photo stabilized both response strategies and liking of a recommender's poor suggestions. Additionally, presenting all of the results together at the end was less frustrating than spreading them out. These results demonstrate that simple interface design decisions can have profound effects on user behaviors and attitudes with personalized recommendation systems.

This paper presents data from a four month ethnographic study of professional pair programmers from two software development teams. Contrary to the current conception of pair programmers, the pairs in this study did not hew to the separate roles of "driver" and "navigator". Instead, the observed programmers moved together through different phases of the task, considering and discussing issues at the same strategic "range " or level of abstraction and in largely the same role. This form of interaction was reinforced by frequent switches in keyboard control during pairing and the use of dual keyboards. The distribution of expertise among the members of a pair had a strong influence on the tenor of pair programming interaction. Keyboard control had a consistent secondary effect on decisionmaking within the pair. These findings have implications for software development managers and practitioners as well as for the design of software development tools.