FaceVis: Exploring a Robot's Face for Affective Visualisation Design
Sarah Schömbs, Jiahe Pan, Yan Zhang, Jorge Gonçalves, Wafa Johal · 2024
In this paper we examine the use of a robot’s face as an interface for affective visualisation design, a concept that we name FaceVis. We conducted a design workshop with 9 experts to explore metaphorical ideas on how to leverage a robot’s physicality, appearance and agency to convey data and communicate emotion. We present insights on potential challenges, benefits and pitfalls when using a robot’s face to visualise data. Our results show that this approach has the potential to enhance user engagement, support self-reflection and elicit empathic concern. We contribute three design considerations and provide future research directions to investigate a robot’s face as an interface for visualisation design.