This Interaction Metrics OER consists of two group projects focused on teaching students how to create validated metrics for measuring human-computer interactions. These two projects ask students to create objective, useful metrics for real-world human-technology interactions and to validate them with predictive models and collected data. The first project, Game Analysis, is a “warm-up” project to get students used to these concepts and the methodology. They’re asked to choose a single-player video game to analyze. By the end of this project, when they’ve documented the timing of all video game entities, established players’ attentional zones on the screen, recorded data from novice and expert players and compared them, students are often exhausted but proud of their work. In the second, larger project, the Interaction Metrics Project, students are asked apply the same techniques to a real-world workplace environment. They define a work task, the employee roles involved, and the interactions that occur. They define at least three new metrics of interest that don’t already exist. Students gather data from the workplace that is required for their metrics, build a simple statistical predictive model, and then discuss with their contacts to see whether interactions rated high by their model are perceived as high by workplace experts. Students have the option, if they are unable to gain access to a workplace to model, of programming a realistic task simulation of a workplace activity and using that simulation. In this approach, they have to ground their design decisions in real world details of the workplace.