Interaction Patterns using Machine Learning and Location Services in User Interfaces for the Consumer IoT

Abstract

This paper describes three interaction patterns for user interfaces of consumer Internet of Things apps. Two patterns address user interaction problems associated with the use of geolocation and machine learning to achieve automation and personalisation respectively. The last pattern focusses on user concerns over privacy and control. In addition to presenting and discussing the patterns, we also correlated each pattern to established principles of interaction and to emerging artificial intelligence design guidelines, which we felt was critical in helping the encapsulation of good user interface design practices to improve the overall user experience with connected devices.