HCJan 25, 2022

Gesture-based Human-Machine Interaction: Taxonomy, Problem Definition, and Analysis

arXiv:2201.10186v144 citations
Originality Incremental advance
AI Analysis

This work addresses a foundational problem for researchers and designers in human-computer interaction by establishing a common conceptual framework to unify and advance the field.

The paper tackles the fragmented terminology and lack of shared frameworks in gesture-based human-machine interaction by providing a broad definition of functional gestures, designing a flexible taxonomy, and proposing a detailed problem statement, supported by an analysis of 83 relevant articles.

The possibility for humans to interact with physical or virtual systems using gestures has been vastly explored by researchers and designers in the last twenty years to provide new and intuitive interaction modalities. Unfortunately, the literature about gestural interaction is not homogeneous, and it is characterised by a lack of shared terminology. This leads to fragmented results and makes it difficult for research activities to build on top of state-of-the-art results and approaches. The analysis in this paper aims at creating a common conceptual design framework to enforce development efforts in gesture-based human-machine interaction. The main contributions of the paper can be summarised as follows: (i) we provide a broad definition for the notion of functional gesture in human-machine interaction, (ii) we design a flexible and expandable gesture taxonomy, and (iii) we put forward a detailed problem statement for gesture-based human-machine interaction. Finally, to support our main contribution, the paper presents, and analyses 83 most pertinent articles classified on the basis of our taxonomy and problem statement.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes