HCI - 3D interaction and haptic feedback - UHasselt

Multimodal interaction paradigms and techniques are designed, developed and (formally) evaluated. This includes investigating how different combinations of devices and (or) modalities can intuitively be used to perform specific tasks. Extensive know-how on haptic interaction has been built over the years. Bimanual interaction exploiting proprioception was a topic in several user experiments. On the one hand, the research in this area considers generic tasks in 3D or virtual environments, such as selection, manipulation and navigation. On the other hand, domain-specific interaction solutions are designed and investigated. Examples here are exercises and games for upper limb training of MS- and stroke patients (Interreg Rehabilitation Robotics), and haptic interaction with medical images (IBBT Segmentor).

Key projects:

• IWT SBO: VR-DEMO
• Interreg III: Rehabilitation Robotics
• Interreg IV: Rehabilitation Robotics II Rehabilitation Robotics
• COST action TD1006: European Network on Robotics for NeuroRehabilitation
• NoE Enactive Enactivenetwork
• IBBT ISBO: Segmentor

Key publications:

• Multimodal Selection Techniques for Dense and Occluded 3D Virtual Environments, Lode Vanacken, Tovi Grossman, Karin Coninx, International Journal of Human-Computer Studies , 67 : 3, pp. 237 - 255, Elsevier, Mar. 2009.
• Using the Non-Dominant hand for selection in 3D, Joan De Boeck, Tom De Weyer, Chris Raymaekers, Karin Coninx, Proc. of 3DUI 2006, pp. 53 - 58, ISBN 1-4244-0225-5, Mar. 2006
• A Hybrid 2D/3D Interface for Immersive Object Modeling,Karin Coninx, Frank Van Reeth, Eddy Flerackers, Proc. of CGI '97, pp. 47 - 55, IEEE Computer Society Press, ISBN 0-8186-7825-9, Jan. 1997
• Facilitating robot-assisted training in MS patients with arm paresis: A procedure to individually determine gravity compensation, Hans Bastiaens, Geert Alders, Peter Feys, Sofie Notelaers, Karin Coninx, Lore Kerhofs, Veronik Truyens, Richard Geers, IEEE International Conference on Rehabilitation Robotics, pp. 1 - 6, IEEE, ISBN 978-1-4244-9863-5, ISSN 1945-7898, Aug. 2011.
• Haptic Linear Paths for Arm Rehabilitation in MS Patients, Joan De Boeck, Sofie Notelaers, Chris Raymaekers, Karin Coninx, Proc. of HAVE 2009, pp. 42 - 47, IEEE Instrumentation & Measurment Society, Nov. 2009.
• Force Feedback Magnitude Effects on User’s Performance during Target Acquisition: a Pilot Study, Lode Vanacken, Joan De Boeck, Karin Coninx, Proc. of Interact 2009, ISBN 978-3-642-03657-6 , Lecture Notes in Computer Science LNCS series, 5727, pp. 5 - 8, Springer, ISSN 0302-9743, Aug. 2009.
• Expanding the Haptic Experience by Using the PHANToM Device to Drive a Camera Metaphor, Joan De Boeck, Chris Raymaekers, Karin Coninx, Proc. of PUG 2001, Oct. 2001
• 2D Human-Computer Interaction Techniques in Immersive Virtual Environments,  Karin Coninx, Frank Van Reeth, Eddy Flerackers, Computer Networks and ISDN Systems - Special Issue on Visualization and Graphics on the WWW, 14 : 14, pp. 1685 - 1693, Oct. 1997.