As in all collaborative work, trust is a vital ingredient of successful computer supported cooperative work, yet there is little in the way of design principles to help practitioners develop systems that foster trust. To address this gap, we present a set of design patterns, based on our experience designing systems with the explicit intention of increasing trust between stakeholders. We contextualize these patterns by describing our own learning process, from the development, testing and refinement of a trust model, to our realization that the insights we gained along the way were most usefully expressed through design patterns. In addition to a set of patterns for trust, this paper seeks to demonstrate of the value of patterns as a means of communicating the nuances revealed through ethnographic investigation.

Driven by changes in working practices and technology trends, organizations are increasingly reliant on mobile workers and the data they capture. However, while significant work has been carried out on increasing the usability of mobile devices and applications, little attention has been paid to the quality of data captured by mobile workers. If this data is inaccurate or untrustworthy, serious consequences can ensue. In this paper we study a system targeted at mobile workers in the highways sector that is deliberately designed to increase the accuracy and trustworthiness of the data collected. The resulting Inspections application has been very positively received by workers and we present lessons that we believe can be applied to other applications of this type.