Interaction Methods for Smart Glasses : A Survey

Since the launch of Google Glass in 2014, smart glasses have mainly been designed to support micro-interactions. The ultimate goal for them to become an augmented reality interface has not yet been attained due to an encumbrance of controls. Augmented reality involves superimposing interactive computer graphics images onto physical objects in the real world. This survey reviews current research issues in the area of human-computer interaction for smart glasses. The survey first studies the smart glasses available in the market and afterwards investigates the interaction methods proposed in the wide body of literature. The interaction methods can be classified into hand-held, touch, and touchless input. This paper mainly focuses on the touch and touchless input. Touch input can be further divided into on-device and on-body, while touchless input can be classified into hands-free and freehand. Next, we summarize the existing research efforts and trends, in which touch and touchless input are evaluated by a total of eight interaction goals. Finally, we discuss several key design challenges and the possibility of multi-modal input for smart glasses.Peer reviewe

Not All Gestures Are Created Equal: Gesture and Visual Feedback in Interaction Spaces.

As multi-touch mobile computing devices and open-air gesture sensing technology become increasingly commoditized and affordable, they are also becoming more widely adopted. It became necessary to create new interaction design specifically for gesture-based interfaces to meet the growing needs of users. However, a deeper understanding of the interplay between gesture, and visual and sonic output is needed to make meaningful advances in design. This thesis addresses this crucial step in development by investigating the interrelation between gesture-based input, and visual representation and feedback, in gesture-driven creative computing. This thesis underscores the importance that not all gestures are created equal, and there are multiple factors that affect their performance. For example, a drag gesture in visual programming scenario performs differently than in a target acquisition task. The work presented here (i) examines the role of visual representation and mapping in gesture input, (ii) quantifies user performance differences in gesture input to examine the effect of multiple factors on gesture interactions, and (iii) develops tools and platforms for exploring visual representations of gestures. A range of gesture spaces and scenarios, from continuous sound control with open-air gestures to mobile visual programming with discrete gesture-driven commands, was assessed. Findings from this thesis reveals a rich space of complex interrelations between gesture input and visual feedback and representations. The contributions of this thesis also includes the development of an augmented musical keyboard with 3-D continuous gesture input and projected visualization, as well as a touch-driven visual programming environment for interactively constructing dynamic interfaces. These designs were evaluated by a series of user studies in which gesture-to-sound mapping was found to have a significant affect on user performance, along with other factors such as the selection of visual representation and device size. A number of counter-intuitive findings point to the potentially complex interactions between factors such as device size, task and scenarios, which exposes the need for further research. For example, the size of the device was found to have contradictory effects in two different scenarios. Furthermore, this work presents a multi-touch gestural environment to support the prototyping of gesture interactions.PhDComputer Science and EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/113456/1/yangqi_1.pd

Context-aware gestural interaction in the smart environments of the ubiquitous computing era

A thesis submitted to the University of Bedfordshire in partial fulfilment of the requirements for the degree of Doctor of PhilosophyTechnology is becoming pervasive and the current interfaces are not adequate for the interaction with the smart environments of the ubiquitous computing era. Recently, researchers have started to address this issue introducing the concept of natural user interface, which is mainly based on gestural interactions. Many issues are still open in this emerging domain and, in particular, there is a lack of common guidelines for coherent implementation of gestural interfaces. This research investigates gestural interactions between humans and smart environments. It proposes a novel framework for the high-level organization of the context information. The framework is conceived to provide the support for a novel approach using functional gestures to reduce the gesture ambiguity and the number of gestures in taxonomies and improve the usability. In order to validate this framework, a proof-of-concept has been developed. A prototype has been developed by implementing a novel method for the view-invariant recognition of deictic and dynamic gestures. Tests have been conducted to assess the gesture recognition accuracy and the usability of the interfaces developed following the proposed framework. The results show that the method provides optimal gesture recognition from very different view-points whilst the usability tests have yielded high scores. Further investigation on the context information has been performed tackling the problem of user status. It is intended as human activity and a technique based on an innovative application of electromyography is proposed. The tests show that the proposed technique has achieved good activity recognition accuracy. The context is treated also as system status. In ubiquitous computing, the system can adopt different paradigms: wearable, environmental and pervasive. A novel paradigm, called synergistic paradigm, is presented combining the advantages of the wearable and environmental paradigms. Moreover, it augments the interaction possibilities of the user and ensures better gesture recognition accuracy than with the other paradigms

Designing a 3D Gestural Interface to Support User Interaction with Time-Oriented Data as Immersive 3D Radar Chart

The design of intuitive three-dimensional user interfaces is vital for interaction in virtual reality, allowing to effectively close the loop between a human user and the virtual environment. The utilization of 3D gestural input allows for useful hand interaction with virtual content by directly grasping visible objects, or through invisible gestural commands that are associated with corresponding features in the immersive 3D space. The design of such interfaces remains complex and challenging. In this article, we present a design approach for a three-dimensional user interface using 3D gestural input with the aim to facilitate user interaction within the context of Immersive Analytics. Based on a scenario of exploring time-oriented data in immersive virtual reality using 3D Radar Charts, we implemented a rich set of features that is closely aligned with relevant 3D interaction techniques, data analysis tasks, and aspects of hand posture comfort. We conducted an empirical evaluation (n=12), featuring a series of representative tasks to evaluate the developed user interface design prototype. The results, based on questionnaires, observations, and interviews, indicate good usability and an engaging user experience. We are able to reflect on the implemented hand-based grasping and gestural command techniques, identifying aspects for improvement in regard to hand detection and precision as well as emphasizing a prototype's ability to infer user intent for better prevention of unintentional gestures.Comment: 30 pages, 6 figures, 2 table

A computational approach to gestural interactions of the upper limb on planar surfaces

There are many compelling reasons for proposing new gestural interactions: one might want to use a novel sensor that affords access to data that couldn’t be previously captured, or transpose a well-known task into a different unexplored scenario. After an initial design phase, the creation, optimisation or understanding of new interactions remains, however, a challenge. Models have been used to foresee interaction properties: Fitts’ law, for example, accurately predicts movement time in pointing and steering tasks. But what happens when no existing models apply? The core assertion to this work is that a computational approach provides frameworks and associated tools that are needed to model such interactions. This is supported through three research projects, in which discriminative models are used to enable interactions, optimisation is included as an integral part of their design and reinforcement learning is used to explore motions users produce in such interactions

Computational interaction techniques for 3D selection, manipulation and navigation in immersive VR

3D interaction provides a natural interplay for HCI. Many techniques involving diverse sets of hardware and software components have been proposed, which has generated an explosion of Interaction Techniques (ITes), Interactive Tasks (ITas) and input devices, increasing thus the heterogeneity of tools in 3D User Interfaces (3DUIs). Moreover, most of those techniques are based on general formulations that fail in fully exploiting human capabilities for interaction. This is because while 3D interaction enables naturalness, it also produces complexity and limitations when using 3DUIs. In this thesis, we aim to generate approaches that better exploit the high potential human capabilities for interaction by combining human factors, mathematical formalizations and computational methods. Our approach is focussed on the exploration of the close coupling between specific ITes and ITas while addressing common issues of 3D interactions. We specifically focused on the stages of interaction within Basic Interaction Tasks (BITas) i.e., data input, manipulation, navigation and selection. Common limitations of these tasks are: (1) the complexity of mapping generation for input devices, (2) fatigue in mid-air object manipulation, (3) space constraints in VR navigation; and (4) low accuracy in 3D mid-air selection. Along with two chapters of introduction and background, this thesis presents five main works. Chapter 3 focusses on the design of mid-air gesture mappings based on human tacit knowledge. Chapter 4 presents a solution to address user fatigue in mid-air object manipulation. Chapter 5 is focused on addressing space limitations in VR navigation. Chapter 6 describes an analysis and a correction method to address Drift effects involved in scale-adaptive VR navigation; and Chapter 7 presents a hybrid technique 3D/2D that allows for precise selection of virtual objects in highly dense environments (e.g., point clouds). Finally, we conclude discussing how the contributions obtained from this exploration, provide techniques and guidelines to design more natural 3DUIs

Interaction for Immersive Analytics

International audienceIn this chapter, we briefly review the development of natural user interfaces and discuss their role in providing human-computer interaction that is immersive in various ways. Then we examine some opportunities for how these technologies might be used to better support data analysis tasks. Specifically, we review and suggest some interaction design guidelines for immersive analytics. We also review some hardware setups for data visualization that are already archetypal. Finally, we look at some emerging system designs that suggest future directions

On the critical role of the sensorimotor loop on the design of interaction techniques and interactive devices

People interact with their environment thanks to their perceptual and motor skills. This is the way they both use objects around them and perceive the world around them. Interactive systems are examples of such objects. Therefore to design such objects, we must understand how people perceive them and manipulate them. For example, haptics is both related to the human sense of touch and what I call the motor ability. I address a number of research questions related to the design and implementation of haptic, gestural, and touch interfaces and present examples of contributions on these topics. More interestingly, perception, cognition, and action are not separated processes, but an integrated combination of them called the sensorimotor loop. Interactive systems follow the same overall scheme, with differences that make the complementarity of humans and machines. The interaction phenomenon is a set of connections between human sensorimotor loops, and interactive systems execution loops. It connects inputs with outputs, users and systems, and the physical world with cognition and computing in what I call the Human-System loop. This model provides a complete overview of the interaction phenomenon. It helps to identify the limiting factors of interaction that we can address to improve the design of interaction techniques and interactive devices.Les humains interagissent avec leur environnement grâce à leurs capacités perceptives et motrices. C'est ainsi qu'ils utilisent les objets qui les entourent et perçoivent le monde autour d'eux. Les systèmes interactifs sont des exemples de tels objets. Par conséquent, pour concevoir de tels objets, nous devons comprendre comment les gens les perçoivent et les manipulent. Par exemple, l'haptique est à la fois liée au sens du toucher et à ce que j'appelle la capacité motrice. J'aborde un certain nombre de questions de recherche liées à la conception et à la mise en œuvre d'interfaces haptiques, gestuelles et tactiles et je présente des exemples de contributions sur ces sujets. Plus intéressant encore, la perception, la cognition et l'action ne sont pas des processus séparés, mais une combinaison intégrée d'entre eux appelée la boucle sensorimotrice. Les systèmes interactifs suivent le même schéma global, avec des différences qui forme la complémentarité des humains et des machines. Le phénomène d'interaction est un ensemble de connexions entre les boucles sensorimotrices humaines et les boucles d'exécution des systèmes interactifs. Il relie les entrées aux sorties, les utilisateurs aux systèmes, et le monde physique à la cognition et au calcul dans ce que j'appelle la boucle Humain-Système. Ce modèle fournit un aperçu complet du phénomène d'interaction. Il permet d'identifier les facteurs limitatifs de l'interaction que nous pouvons aborder pour améliorer la conception des techniques d'interaction et des dispositifs interactifs