Technologies for the future: Evaluating a voice enabled smart city parking application

摘要

In this paper, we present an evaluation study of a smart parking application prototype that assists drivers with real-time information. The system brings a new contribution beyond the state of the art by adding two novel features: the use of natural language and the ability to react in real-time to changes in parking occupancy. A group of 5 experts evaluated the prototype using Nielsen's set of heuristics in a think-loud approach. Results and implications for further design are presented. The prototype evaluation is considered within the broader context of smart city.