Regan L. Mandryk

Julian Frommel, Regan L Mandryk

Methods that detect user states such as emotions are useful for interactive systems. In this position paper, we argue for model-based approaches that are trained on user behaviour and self-reported user state as ground truths. In an application context, they record behaviour, extract relevant features, and use the models to predict user states. We describe how this approach can be implemented and discuss its benefits in comparison to solely self-reports in an application and to models of behaviour without the selfreport ground truths. Finally, we discuss shortcomings of this approach by considering its drawbacks and limitations.

Audrey Girouard, Jon E. Froehlich, Regan Mandryk et al.

This article reflects on our experiences providing family-support services to a large, interdisciplinary ACM conference (CHI2018) including, the policy decisions, the challenges, and the successes. The article incorporates empirical data collected from pre- and post-conference surveys, observed use of the services, and aspirational aims for future conferences. We are discussing best practices and recommendations to facilitate the implementation of child support services at other conferences. We believe our article will be of great interest to both practitioners and academics in expanding the inclusivity and family support provided by ACM conferences and beyond.