Abstract During the last decade, touchless gestural interfaces have been widely studied as one of the most promising interaction paradigms in the context of pervasive displays. In particular, avatars and silhouettes have proved to be effective in making the touchless capacity of displays self-evident. In this paper, we focus on a child–display interaction approach to avatar-based touchless gestural interfaces. We believe that large displays offer an opportunity to stimulate children’s experiences and engagement; for instance, learning about art is very engaging for children but can bring a number of challenges. Our study aims to contribute to the literature on both pervasive displays and child–computer interaction by reporting the results of a study involving 107 children aged 2 to 10 years. The main purposes of this study were to discover: (1) whether an avatar (movable or immovable) provides interactions that are intuitive for children and therefore help to overcome so-called “affordance blindness”; (2) whether an avatar-based touchless interface makes children’s experiences engaging and enjoyable therefore improving recall of content provided through the interaction (learning about art). The study unveiled relevant outcomes in terms of affordance blindness and two-handed interactions. We provide evidence indicating that chronological age influences the style of child–avatar interaction. Finally, it is suggested that avatars could facilitate the development of new effective educational technologies for young children.

Summary In the last decades, we have witnessed a growing interest toward touchless gestural user interfaces. Among other reasons, this is due to the large availability of different low‐cost gesture acquisition hardware (the so‐called “Kinect‐like devices”). As a consequence, there is a growing need for solutions that allow to easily integrate such devices within actual systems. In this paper, we present KIND‐DAMA, an open and modular middleware that helps in the development of interactive applications based on gestural input. We first review the existing middlewares for gestural data management. Then, we describe the proposed architecture and compare its features against the existing similar solutions we found in the literature. Finally, we present a set of studies and use cases that show the effectiveness of our proposal in some possible real‐world scenarios.

Public displays have lately become ubiquitous thanks to the decreasing cost of such technology and public policies supporting the development of smart cities. Depending on form factor, those displays might use touchless gestural interfaces that therefore are becoming more often the subject of public and private research. In this paper, we focus on touchless interactions with situated public displays, and introduce a pilot study on comparing two interfaces: an interface based on the Microsoft Human Interface Guidelines (HIG), a de facto standard in the field, and a novel interface, designed by us. Differently from the HIG-based one, our interface displays an avatar, which does not require any activation gestures to trigger actions. Our aim is to study how the two interfaces address the so-called interaction blindness --- the inability of the users to recognize the interactive capabilities of those displays. According to our pilot study, although providing a different approach, both interfaces has proven effective in the proposed scenario: a public display in a hall inside a University campus building.

This paper presents a novel method to reproduce in real time the opening and closing gestures of a human hand, animating a three-dimensional model of it. In other works, this result can be achieved by mapping a set of significant points of a real hand on the corresponding points of the model to animate. We propose an alternative way to produce the same effect without mapping points, but using a level-based estimation of the degree of opening of the hand. The experiments have been executed using Microsoft KinectTM, but the method would work on any other Kinect-like devices (as defined herein). The results obtained are particularly encouraging and demonstrate real-time performance of the system.