Towards Simulating Humans in Augmented Multi-party Interaction

Human-computer interaction requires modeling of the user. A user profile typically contains preferences, interests, characteristics, and interaction behavior. However, in its multimodal interaction with a smart environment the user displays characteristics that show how the user, not necessarily consciously, verbally and nonverbally provides the smart environment with useful input and feedback. Especially in ambient intelligence environments we encounter situations where the environment supports interaction between the environment, smart objects (e.g., mobile robots, smart furniture) and human participants in the environment. Therefore it is useful for the profile to contain a physical representation of the user obtained by multi-modal capturing techniques. We discuss the modeling and simulation of interacting participants in the European AMI research project

Refining personal and social presence in virtual meetings

Virtual worlds show promise for conducting meetings and conferences without the need for physical travel. Current experience suggests the major limitation to the more widespread adoption and acceptance of virtual conferences is the failure of existing environments to provide a sense of immersion and engagement, or of ‘being there’. These limitations are largely related to the appearance and control of avatars, and to the absence of means to convey non-verbal cues of facial expression and body language. This paper reports on a study involving the use of a mass-market motion sensor (Kinect™) and the mapping of participant action in the real world to avatar behaviour in the virtual world. This is coupled with full-motion video representation of participant’s faces on their avatars to resolve both identity and facial expression issues. The outcomes of a small-group trial meeting based on this technology show a very positive reaction from participants, and the potential for further exploration of these concepts

Natural User Interfaces for Virtual Character Full Body and Facial Animation in Immersive Virtual Worlds

In recent years, networked virtual environments have steadily grown to become a frontier in social computing. Such virtual cyberspaces are usually accessed by multiple users through their 3D avatars. Recent scientific activity has resulted in the release of both hardware and software components that enable users at home to interact with their virtual persona through natural body and facial activity performance. Based on 3D computer graphics methods and vision-based motion tracking algorithms, these techniques aspire to reinforce the sense of autonomy and telepresence within the virtual world. In this paper we present two distinct frameworks for avatar animation through user natural motion input. We specifically target the full body avatar control case using a Kinect sensor via a simple, networked skeletal joint retargeting pipeline, as well as an intuitive user facial animation 3D reconstruction pipeline for rendering highly realistic user facial puppets. Furthermore, we present a common networked architecture to enable multiple remote clients to capture and render any number of 3D animated characters within a shared virtual environment

Virtual and Augmented Reality in Finance: State Visibility of Events and Risk

International audienceThe recent financial crisis and its aftermath motivate our re-thinking of the role of Information and Communication Technologies (ICT) as a driver for change in global finance and a critical factor for success and sustainability. We attribute the recent financial crisis that hit the global market, causing a drastic economic slowdown and recession, to a lack of state visibility of risk, inadequate response to events, and a slow dynamic system adaptation to events. There is evidence that ICT is not yet appropriately developed to create business value and business intelligence capable of counteracting devastating events. The aim of this chapter is to assess the potential of Virtual Reality and Augmented Reality (VR / AR) technologies in supporting the dynamics of global financial systems and in addressing the grand challenges posed by unexpected events and crises. We overview, firstly, in this chapter traditional AR/VR uses. Secondly, we describe early attempts to use 3D/ VR / AR technologies in Finance. Thirdly, we consider the case study of mediating the visibility of the financial state and we explore the various dimensions of the problem. Fourthly, we assess the potential of AR / VR technologies in raising the perception of the financial state (including financial risk). We conclude the chapter with a summary and a research agenda to develop technologies capable of increasing the perception of the financial state and risk and counteracting devastating events

The $10 Million ANA Avatar XPRIZE Competition Advanced Immersive Telepresence Systems

The $10M ANA Avatar XPRIZE aimed to create avatar systems that can transport human presence to remote locations in real time. The participants of this multi-year competition developed robotic systems that allow operators to see, hear, and interact with a remote environment in a way that feels as if they are truly there. On the other hand, people in the remote environment were given the impression that the operator was present inside the avatar robot. At the competition finals, held in November 2022 in Long Beach, CA, USA, the avatar systems were evaluated on their support for remotely interacting with humans, exploring new environments, and employing specialized skills. This article describes the competition stages with tasks and evaluation procedures, reports the results, presents the winning teams' approaches, and discusses lessons learned.Comment: Extended version of article accepted for competitions colum

AMMP-EXTN: A User Privacy and Collaboration Control Framework for a Multi-User Collaboratory Virtual Reality System

In this thesis, we propose a new design of privacy and session control for improving a collaborative molecular modeling CVR system AMMP-VIS [1]. The design mainly addresses the issue of competing user interests and privacy protection coordination. Based on our investigation of AMMP-VIS, we propose a four-level access control structure for collaborative sessions and dynamic action priority specification for manipulations on shared molecular models. Our design allows a single user to participate in multiple simultaneous sessions. Moreover, a messaging system with text chatting and system broadcasting functionality is included. A 2D user interface [2] for easy command invocation is developed in Python. Two other key aspects of system implementation, the collaboration Central deployment and the 2D GUI for control are also discussed. Finally, we describe our system evaluation plan which is based on an improved cognitive walkthrough and heuristic evaluation as well as statistical usage data