Gesture interactions have become ubiquitous, and with increasingly reliable sensing technology we can anticipate their use in everyday environments such as smart homes. Gestures must meet users’ needs and constraints in diverse scenarios to gain widespread acceptance. Although mid-air gestures have been proposed in various user contexts, it is still unclear to what extent users want to integrate them into different scenarios in their smart homes, along with the motivations driving this desire. Furthermore, it is uncertain whether users will remain consistent in their suggestions when transitioning to alternative scenarios within a smart home. This study contributes methodologically by adapting a bottom-up frame-based design process. We offer insights into preferred devices and commands in different smart home scenarios. Using our results, we can assist in designing gestures in the smart home that are consistent with individual needs across devices and scenarios, while maximizing the reuse and transferability of gestural knowledge.

Mid-air gesture-based systems are becoming ubiquitous. Many mid-air gestures control different kinds of interactive devices, applications, and systems. They are, however, still targeted at specific devices in specific domains and are not necessarily consistent across domain boundaries. A comprehensive evaluation of the transferability of gesture vocabulary between domains is also lacking. Consequently, interaction designers cannot decide which gestures to use for which domain. In this systematic literature review, we contribute to the future research agenda in this area, based on an analysis of 172 papers. As part of our analysis, we clustered gestures according to the dimensions of an existing taxonomy to identify their common characteristics in different domains, and we investigated the extent to which existing mid-air gesture sets are consistent across different domains. We derived a consensus gesture set containing 22 gestures based on agreement rates calculation and considered their transferability across different domains.