Towards a Deep(er) Understanding of Interaction through Modeling, Simulation, and Optimization
Florian Fischer, Arthur Fleig, Markus Klar, Viktorija Paneva, J\"org, M\"uller

TL;DR
This paper advocates augmenting traditional user-centered design with simulation and optimization to better understand, develop, and validate human-computer interaction techniques, exemplified through acoustic levitation.
Contribution
It introduces an optimization-based framework for modeling, simulating, and improving HCI, advancing the creation of adaptive and intelligent user interfaces.
Findings
Successful virtual development of acoustic levitation interaction techniques
Framework supports validation of HCI theories
Enhances understanding of interaction phenomena
Abstract
The traditional user-centered design process can hardly keep up with the ever faster technical development and increasingly diverse user preferences. As a solution, we propose to augment the tried-and-tested approach of conducting user studies with simulation and optimization of the entire human-computer interaction loop. This approach allows to better understand phenomena through explicit modeling, build virtual prototypes through simulation, and improve interaction techniques through optimization. Building predictive user models also supports the creation and validation of HCI theories, and constitutes a decisive step towards new, intelligent, and adaptive user interfaces. We report our experience in virtually developing new interaction techniques on the example of acoustic levitation, and present our optimization-based framework for HCI. With this, we strive to gain a better…
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Taxonomy
TopicsInnovative Human-Technology Interaction · Data Visualization and Analytics · Context-Aware Activity Recognition Systems
