HH Bülthoff

Max Planck Institute for Biological Cybernetics

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Christian Wallraven

Korea University

113

T Meilinger

Max Planck Institute for Biological Cybernetics

S de la Rosa

IU International University of Applied Sciences

Lewis L. Chuang

Chemnitz University of Technology

Paolo Robuffo Giordano

Institut de Recherche en Informatique et Systèmes Aléatoires

HA Mallot

Max Planck Institute for Biological Cybernetics

Antonio Franchi

University of Twente

Douglas W. Cunningham

Brandenburg University of Technology Cottbus-Senftenberg

Paolo Pretto

Virtual Vehicle (Austria)

Bernhard E. Riecke

Simon Fraser University

Cooperative Institutions

Max Planck Institute for Biological Cybernetics

441

Max Planck Society

390

State Street (United States)

163

University of Tübingen

Centre National de la Recherche Scientifique

Delft University of Technology

Massachusetts Institute of Technology

École Polytechnique Fédérale de Lausanne

Bernstein Center for Computational Neuroscience Tübingen

Université de Toulouse

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Collaborative Problem Solving in Local and Remote VR Situations

2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (2019)

Adamantini Hatzipanayioti Anastasia Pavlidou Manuel Dixken HH Bülthoff T Meilinger

Virtual Reality supports collaboration among partners across departments and fields, independent of physical boundaries. Virtual reality applications can solve the time and cost consuming logistic problem that companies encounter when sending experts to remote locations. However, it is not yet clear how effective partners collaborate when in remote locations. In one experiment, we examined whether partners who are physically in the same room and interact with each other before they start collaborating affects performance compared to collaborators who meet and interact only within the virtual space. Participants had to solve a Rubik's cube type three-dimensional puzzle by arranging cubes that varied in color within a solution space in such a way, so that each side of the solution space showed a single color. Participants were immersed within a virtual environment and in one condition participants were collocated in the same room (local condition), while in the other one they were located in different rooms (remote condition). Results showed that collaborators in both conditions successfully completed the task but performance was better during the local compared to the remote condition.

Virtual space

Physical space

Cube (algebra)

10.1109/vr.2019.8798201

Cite

Citations (8)

Simulating believable forward accelerations on a stewart motion platform

ACM Transactions on Applied Perception (2010)

Daniel R. Berger Jörg Schulte-Pelkum HH Bülthoff

It is still an unsolved problem how to optimally simulate self-motion using motion simulators. We investigated how a forward acceleration can be simulated as believably as possible on a hexapod motion platform equipped with a projection screen. Human participants rated the believability of brief forward accelerations. These were simulated as visual forward accelerations over a ground plane with people as size cues, presented together with brief forward surge translations and backward pitches of the platform, and synchronous random up--down movements of the camera in the visual scene and the platform. The magnitudes of all of the parameters were varied independently across trials. Even though variability between participants was high, the most believable simulation occurred when visual accelerations were combined with backward pitches of the platform, which changed the gravitoinertial vector direction approximately consistent with the visual acceleration. However, a wide range of platform pitches was accepted as believable. With high visual acceleration cues most participants reported trials as realistic even when the platform tilt rate was above vestibular canal thresholds reported in other works. Other manipulated parameters had only a mild influence on the responses. These results can be used to optimize motion-cueing algorithms for simulating linear accelerations in motion simulators.

Hexapod

10.1145/1658349.1658354

Cite

Citations (55)

T Cooke Florian Steinke Christian Wallraven HH Bülthoff

Which object properties matter most in human perception may well vary according to sensory modality, an important consideration for the design of multimodal interfaces. In this study, we present a similarity-based method for comparing the perceptual importance of object properties across modalities and show how it can also be used to perceptually validate computational measures of object properties. Similarity measures for a set of three-dimensional (3D) objects varying in shape and texture were gathered from humans in two modalities (vision and touch) and derived from a set of standard 2D and 3D computational measures (image and mesh subtraction, object perimeter, curvature, Gabor jet filter responses, and the Visual Difference Predictor (VDP)). Multidimensional scaling (MDS) was then performed on the similarity data to recover configurations of the stimuli in 2D perceptual/computational spaces. These two dimensions corresponded to the two dimensions of variation in the stimulus set: shape and texture. In the human visual space, shape strongly dominated texture. In the human haptic space, shape and texture were weighted roughly equally. Weights varied considerably across subjects in the haptic experiment, indicating that different strategies were used. Maps derived from shape-dominated computational measures provided good fits to the human visual map. No single computational measure provided a satisfactory fit to the map derived from mean human haptic data, though good fits were found for individual subjects; a combination of measures with individually-adjusted weights may be required to model the human haptic similarity judgments. Our method provides a high-level approach to perceptual validation, which can be applied in both unimodal and multimodal interface design.

Similarity (geometry)

Multidimensional scaling

Computational model

Feature vector

10.1145/1080402.1080413

Cite

Citations (8)

An Experimental Comparison of Haptic and Automated Pilot Support Systems

AIAA Modeling and Simulation Technologies Conference (2014)

Mario Olivari Frank M. Nieuwenhuizen HH Bülthoff Lorenzo Pollini

10.2514/6.2014-0809

Cite

Citations (9)

The center-surround effect in visual speed estimation during walking

USC Research Bank (University of the Sunshine Coast) (2011)

Lewis L. Chuang HH Bülthoff Jan L. Souman

Center (category theory)

Source

Cite

Citations (0)

Robust optical-flow based self-motion estimation for a quadrotor UAV

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (2012)

Volker Grabe HH Bülthoff Paolo Robuffo Giordano

Robotic vision has become an important field of research for micro aerial vehicles in the recent years. While many approaches for autonomous visual control of such vehicles rely on powerful ground stations, the increasing availability of small and light hardware allows for the design of more independent systems. In this context, we present a robust algorithm able to recover the UAV ego-motion using a monocular camera and on-board hardware. Our method exploits the continuous homography constraint so as to discriminate among the observed feature points in order to classify those belonging to the dominant plane in the scene. Extensive experiments on a real quadrotor UAV demonstrate that the estimation of the scaled linear velocity in a cluttered environment improved by a factor of 25% compared to previous approaches.

Optical Flow

Monocular

Homography

10.1109/iros.2012.6386234

Cite

Citations (51)

The MPI CyberMotion Simulator: A Novel Research Platform to Investigate Human Control Behavior

Journal of Computing Science and Engineering (2013)

Frank M. Nieuwenhuizen HH Bülthoff

The MPI CyberMotion Simulator provides a unique motion platform, as it features an anthropomorphic robot with a large workspace, combined with an actuated cabin and a linear track for lateral movement. This paper introduces the simulator as a tool for studying human perception, and compares its characteristics to conventional Stewart platforms. Furthermore, an experimental evaluation is presented in which multimodal human control behavior is studied by identifying the visual and vestibular responses of participants in a roll-lateral helicopter hover task. The results show that the simulator motion allows participants to increase tracking performance by changing their control strategy, shifting from reliance on visual error perception to reliance on simulator motion cues. The MPI CyberMotion Simulator has proven to be a state-of-the-art motion simulator for psychophysical research to study humans with various experimental paradigms, ranging from passive perception experiments to active control tasks, such as driving a car or flying a helicopter.

Driving simulator

Motion simulator

Work space

10.5626/jcse.2013.7.2.122

Cite

Citations (29)

Joiint and iindiiviiduall wallkiing iin an iimmersiive collllaboratiive viirtuall enviironment

Stephan Streuber A Chatziastros S de la Rosa HH Bülthoff

Source

Cite

Citations (0)

No advantage for remembering horizontal over vertical spatial locations learned from a single viewpoint

Memory & Cognition (2017)

Thomas Hinterecker Caroline Leroy Mintao Zhao Martin V. Butz HH Bülthoff

Previous behavioral and neurophysiological research has shown better memory for horizontal than for vertical locations. In these studies, participants navigated toward these locations. In the present study we investigated whether the orientation of the spatial plane per se was responsible for this difference. We thus had participants learn locations visually from a single perspective and retrieve them from multiple viewpoints. In three experiments, participants studied colored tags on a horizontally or vertically oriented board within a virtual room and recalled these locations with different layout orientations (Exp. 1) or from different room-based perspectives (Exps. 2 and 3). All experiments revealed evidence for equal recall performance in horizontal and vertical memory. In addition, the patterns for recall from different test orientations were rather similar. Consequently, our results suggest that memory is qualitatively similar for both vertical and horizontal two-dimensional locations, given that these locations are learned from a single viewpoint. Thus, prior differences in spatial memory may have originated from the structure of the space or the fact that participants navigated through it. Additionally, the strong performance advantages for perspective shifts (Exps. 2 and 3) relative to layout rotations (Exp. 1) suggest that configurational judgments are not only based on memory of the relations between target objects, but also encompass the relations between target objects and the surrounding room—for example, in the form of a memorized view.

Horizontal and vertical

Horizontal plane

Viewpoints

10.3758/s13421-017-0753-9

Cite

Citations (10)

Eye and pointer coordination in search and selection tasks

Hans‐Joachim Bieg Lewis L. Chuang Roland W. Fleming Harald Reiterer HH Bülthoff

Selecting a graphical item by pointing with a computer mouse is a ubiquitous task in many graphical user interfaces. Several techniques have been suggested to facilitate this task, for instance, by reducing the required movement distance. Here we measure the natural coordination of eye and mouse pointer control across several search and selection tasks. We find that users automatically minimize the distance to likely targets in an intelligent, task dependent way. When target location is highly predictable, top-down knowledge can enable users to initiate pointer movements prior to target fixation. These findings question the utility of existing assistive pointing techniques and suggest that alternative approaches might be more effective.

10.1145/1743666.1743688

Cite

Citations (46)