Comparing Input Sensors in an Immersive Mixed-Reality Environment for Human-Computer Symbiosis

With the emergence of interest in the human-computer symbiosis also rises the need to find input systems adequate to this paradigm. The present research aims to compare three different input systems during the interaction with virtual objects in a wide, immersive mixed-reality environment. The common interaction via keyboard and mouse is compared with two types of interaction mediated by gestural inputs. Specifically, we compared the performance and the user experience of participants interacting with a virtual 3D model of a human brain either with keyboard/mouse, or with two different motion sensing devices to input commands: the Microsoft Kinect360 and the KinectOne. The results seem to suggest that, although participants showed a better efficiency using the keyboard/mouse, in a high immersive environment, a input system that exploits gestures and body movements without requiring the use of any physical artifact, seems to be the preferred one to use.

[1]  Carlos Vázquez,et al.  Fuzzy Sets for a Declarative Description of Multi-adjoint Logic Programming , 2014, RSCTC.

[2]  Tuukka Ruotsalo,et al.  Navigating Complex Information Spaces: A Portfolio Theory Approach , 2014, Symbiotic.

[3]  Marc Cavazza,et al.  Subliminal Cueing of Selection Behavior in a Virtual Environment , 2014, PRESENCE: Teleoperators and Virtual Environments.

[4]  Luciano Gamberini,et al.  How Semantic Processing of Words Evokes Changes in Pupil , 2014, Symbiotic.

[5]  Alberto Betella,et al.  BrainX3: embodied exploration of neural data , 2014, VRIC.

[6]  Luciano Gamberini,et al.  Measuring User Acceptance of Wearable Symbiotic Devices: Validation Study Across Application Scenarios , 2014, Symbiotic.

[7]  J. C. R. Licklider,et al.  Man-Computer Symbiosis , 1960 .

[8]  Tobi Delbrück,et al.  Ada: constructing a synthetic organism , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Dorota Glowacka,et al.  A Reinforcement Learning Approach to Query-Less Image Retrieval , 2014, Symbiotic.

[10]  José Luis Pons Rovira,et al.  Symbiotic Wearable Robotic Exoskeletons: The Concept of the BioMot Project , 2014, Symbiotic.

[11]  Marc Cavazza,et al.  Covert Persuasive Technologies: Bringing Subliminal Cues to Human-Computer Interaction , 2014, PERSUASIVE.

[12]  Alberto Sanfeliu,et al.  XIM-engine: a software framework to support the development of interactive applications that uses conscious and unconscious reactions in immersive mixed reality , 2014, VRIC.

[13]  Giulio Jacucci,et al.  Applying Physiological Computing Methods to Study Psychological, Affective and Motivational Relevance , 2014, Symbiotic.

[14]  Antti Jylhä,et al.  Pointing and Selecting with Tactile Glove in 3D Environment , 2014, Symbiotic.

[15]  Alberto Betella,et al.  Understanding large network datasets through embodied interaction in virtual reality , 2014, VRIC.

[16]  Luciano Gamberini,et al.  A Review of the Research on Subliminal Techniques for Implicit Interaction in Symbiotic Systems , 2014, Symbiotic.

[17]  Giulio Jacucci,et al.  OUTMedia - Symbiotic Service for Music Discovery in Urban Augmented Reality , 2014, Symbiotic.

[18]  Alberto Betella,et al.  Subliminal Response Priming in Mixed Reality: The Ecological Validity of a Classic Paradigm of Perception , 2014, PRESENCE: Teleoperators and Virtual Environments.

[19]  Andrea Miotto,et al.  Ghosts in the Machines: Towards a Taxonomy of Human Computer Interaction , 2014, Symbiotic.

[20]  Gustavo Deco,et al.  Network dynamics with BrainX3: a large-scale simulation of the human brain network with real-time interaction , 2015, Front. Neuroinform..

[21]  Luciano Gamberini,et al.  Symbiotic Interaction: A Critical Definition and Comparison to other Human-Computer Paradigms , 2014, Symbiotic.

[22]  Baris Serim.  Querying and Display of Information: Symbiosis in Exploratory Search Interaction Scenarios , 2014, Symbiotic.

[23]  Jônatas Manzolli,et al.  The eXperience Induction Machine: A New Paradigm for Mixed-Reality Interaction Design and Psychological Experimentation , 2010, The Engineering of Mixed Reality Systems.

[24]  Jodi Forlizzi,et al.  A Multi-touch Interface for Multi-robot Path Planning and Control , 2014, Symbiotic.