Laboratory of Informatics of Grenoble Équipe Ingénierie de l'Interaction Humain-Machine

Équipe Ingénierie de l'Interaction
Humain-Machine

Extending Input Space of Tangible Dials and Sliders for Uncertain Input

In Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI WiP '19). pages 189-196. 2019.

Miriam Greis, Hyunyoung Kim, Andreas Korge, Céline Coutrix, Albrecht Schmidt

Abstract

Uncertainty is common when working with data and becomes more important as processing big data gains attention. However, no standard tangible interface element exists for inputting uncertain data. In this article, we extend the input space of two traditional TUIs: dial and slider. We present five designs that are based on dials and sliders and support uncertain input. We conduct focus group interviews to evaluate the designs. The interviews allow us to extend existing design requirements for parameter control UIs to support uncertain input.