Twenty Software Requirement Patterns to Specify Recommender Systems that Users Will Trust

Trust has been shown as a crucial factor for the adoption of new technologies. Surprisingly, trust literature offers very little guidance for systematically integrating the vast amount of insights from behavioral research on trust into the development of computing systems. The aim of this article is to translate results from behavioral sciences into software requirement patterns that address user trust in recommender systems. Software requirement patterns are used in requirements engineering to recognize important and recurring issues and reduce the effort of compiling a list of software requirements. We collected antecedents that build trust, and developed software requirement patterns that demand functionality to support these antecedents. This paper contributes by presenting software requirement patterns consisting of the name, the goal and the pre-defined requirement template that can be used to specify trust requirements in recommender system development projects.