An Evaluation of an Augmented Reality Multimodal Interface Using Speech and Paddle Gestures

This paper discusses an evaluation of an augmented reality (AR) multimodal interface that uses combined speech and paddle gestures for interaction with virtual objects in the real world. We briefly describe our AR multimodal interface architecture and multimodal fusion strategies that are based on the combination of time-based and domain semantics. Then, we present the results from a user study comparing using multimodal input to using gesture input alone. The results show that a combination of speech and paddle gestures improves the efficiency of user interaction. Finally, we describe some design recommendations for developing other multimodal AR interfaces

Collaborating with a Mobile Robot: An Augmented Reality Multimodal Interface

Invited paperWe have created an infrastructure that allows a human to collaborate in a natural manner with a robotic system. In this paper we describe our system and its implementation with a mobile robot. In our prototype the human communicates with the mobile robot using natural speech and gestures, for example, by selecting a point in 3D space and saying “go here” or “go behind that”. The robot responds using speech so the human is able to understand its intentions and beliefs. Augmented Reality (AR) technology is used to facilitate natural use of gestures and provide a common 3D spatial reference for both the robot and human, thus providing a means for grounding of communication and maintaining spatial awareness. This paper first discusses related work then gives a brief overview of AR and its capabilities. The architectural design we have developed is outlined and then a case study is discussed

Multimodal fusion : gesture and speech input in augmented reality environment

Augmented Reality (AR) has the capability to interact with the virtual objects and physical objects simultaneously since it combines the real world with virtual world seamlessly. However, most AR interface applies conventional Virtual Reality (VR) interaction techniques without modification. In this paper we explore the multimodal fusion for AR with speech and hand gesture input. Multimodal fusion enables users to interact with computers through various input modalities like speech, gesture, and eye gaze. At the first stage to propose the multimodal interaction, the input modalities are decided to be selected before be integrated in an interface. The paper presents several related works about to recap the multimodal approaches until it recently has been one of the research trends in AR. It presents the assorted existing works in multimodal for VR and AR. In AR, multimodal considers as the solution to improve the interaction between the virtual and physical entities. It is an ideal interaction technique for AR applications since AR supports interactions in real and virtual worlds in the real-time. This paper describes the recent studies in AR developments that appeal gesture and speech inputs. It looks into multimodal fusion and its developments, followed by the conclusion.This paper will give a guideline on multimodal fusion on how to integrate the gesture and speech inputs in AR environment

An Augmented Reality Human-Robot Collaboration System

InvitedThis article discusses an experimental comparison of three user interface techniques for interaction with a remotely located robot. A typical interface for such a situation is to teleoperate the robot using a camera that displays the robot's view of its work environment. However, the operator often has a difficult time maintaining situation awareness due to this single egocentric view. Hence, a multimodal system was developed enabling the human operator to view the robot in its remote work environment through an augmented reality interface, the augmented reality human-robot collaboration (AR-HRC) system. The operator uses spoken dialogue, reaches into the 3D representation of the remote work environment and discusses intended actions of the robot. The result of the comparison was that the AR-HRC interface was found to be most effective, increasing accuracy by 30%, while reducing the number of close calls in operating the robot by factors of ~3x. It thus provides the means to maintain spatial awareness and give the users the feeling of working in a true collaborative environment

Evaluating the Augmented Reality Human-Robot Collaboration System

This paper discusses an experimental comparison of three user interface techniques for interaction with a mobile robot located remotely from the user. A typical means of operating a robot in such a situation is to teleoperate the robot using visual cues from a camera that displays the robot’s view of its work environment. However, the operator often has a difficult time maintaining awareness of the robot in its surroundings due to this single ego-centric view. Hence, a multi-modal system has been developed that allows the remote human operator to view the robot in its work environment through an Augmented Reality (AR) interface. The operator is able to use spoken dialog, reach into the 3D graphic representation of the work environment and discuss the intended actions of the robot to create a true collaboration. This study compares the typical ego-centric driven view to two versions of an AR interaction system for an experiment remotely operating a simulated mobile robot. One interface provides an immediate response from the remotely located robot. In contrast, the Augmented Reality Human-Robot Collaboration (AR-HRC) System interface enables the user to discuss and review a plan with the robot prior to execution. The AR-HRC interface was most effective, increasing accuracy by 30% with tighter variation, while reducing the number of close calls in operating the robot by factors of ~3x. It thus provides the means to maintain spatial awareness and give the users the feeling they were working in a true collaborative environment

Novel Interaction Techniques for Mobile Augmented Reality applications. A Systematic Literature Review

This study reviews the research on interaction techniques and methods that could be applied in mobile augmented reality scenarios. The review is focused on themost recent advances and considers especially the use of head-mounted displays. Inthe review process, we have followed a systematic approach, which makes the reviewtransparent, repeatable, and less prone to human errors than if it was conducted in amore traditional manner. The main research subjects covered in the review are headorientation and gaze-tracking, gestures and body part-tracking, and multimodality– as far as the subjects are related to human-computer interaction. Besides these,also a number of other areas of interest will be discussed.Siirretty Doriast