CHI'21, MorpheesPlug

MorpheesPlug: A Toolkit for Prototyping Shape-Changing Interfaces

Hyunyoung Kim, Aluna Everitt, Carlos E. Tejada, Mengyu Zhong, Daniel Ashbrook

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI'21. (To appear)

SplitSlider is a reconfigurable control interface that allows input for uncertainty. When users are not certain about their answer to a survey question, they can use the three slider cursors for input as in the picture above. The three cursors can input probability distribution. When they are certain, they can combine the three cursors into one to input a single value as an answer.

Experiencing uncertainty is common when answering questionnaires.E.g., users are not always sure to answer how often they use trains. Enabling users to input their uncertainty is thus important to increase the data’s reliability and to make better decision based on the data. However, few interfaces have been explored to support uncertain input, especially with TUIs. TUIs are more discoverable than GUIs and better support simultaneous input of multiple parameters. It motivates us to explore different TUI designs to input users’ best estimate answer (value) and uncertainty. In this paper, we first generate 5 TUI designs that can input both value and uncertainty and build low-fidelity prototypes. We then conduct focus group interviews to evaluate the prototypes and implement the best design, SplitSlider, as a working prototype. A lab study with SplitSlider shows that one third of the participants (4/12) were able to discover the uncertainty input function without any explanation, and once explained, all of them could easily understand the concept and input uncertainty.