We describe two experiments using three testbeds (real, virtual and vision-only) for comparison of user performance during 3-D peg-in-hole tasks. Tasks are performed using a six-degree-of-freedom (6-DOF) magnetic levi...
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ISBN:
(纸本)0769514898
We describe two experiments using three testbeds (real, virtual and vision-only) for comparison of user performance during 3-D peg-in-hole tasks. Tasks are performed using a six-degree-of-freedom (6-DOF) magnetic levitation haptic device. The experimental design allows a user to experience real and virtual forces using the same device. The first experiment compares real and virtual tasks. In the virtual task, a peg and hole are rendered haptically and visually. During the real task, a physical peg is attached to the underside of the haptic device. A hole in a plate attached to a force/torque sensor receives the peg. The second experiment compares a virtual haptic task to one performed using vision alone. Preliminary results indicate increased task time, more variation in force and position, and more failures occur with the virtual task than with the real task. More variation in force and position, and more failures occur with the vision-only task than with the virtual task. Users apply similar strategies for virtual and real tasks. Virtual haptic display, while worse than reality, contributes significantly to task performance when compared to vision alone.
The Special Interest Group on computerhumaninteraction (SIGCHI) has had a successful history of 20 years of growth in its numbers and influence. To help guide the continued evolution of the academic discipline and p...
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ISBN:
(纸本)1581134541
The Special Interest Group on computerhumaninteraction (SIGCHI) has had a successful history of 20 years of growth in its numbers and influence. To help guide the continued evolution of the academic discipline and professional community, we invite several senior members to offer their visions for what the field of CHI actually accomplished over the past several decades, and what do we still need to accomplish? What do we need to do differently/ better/smarter? What haven't we tried because the technology, the money or the will wasn't there in the past, but perhaps is now? The CHI field is more than just technology. We understand that our work can have a profound effect on individuals, families, neighborhoods, corporations, and countries. We know that we can influence education, commerce, healthcare, and government. How can we contribute to bridging the digital divides in developed and developing countries? What agendas can we offer for the academic, research, industrial, and civic spheres for the next 20 years? How can we be more ambitious? How can we truly serve human needs?
We propose a new network growing method to detect salient features in input patterns. The new method is based upon a previous network growing model (R. Kamimura and T. Kamimura, 2002) and introduced to overcome some p...
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We propose a new network growing method to detect salient features in input patterns. The new method is based upon a previous network growing model (R. Kamimura and T. Kamimura, 2002) and introduced to overcome some problems in the previous model. We have so far tried to build a model that can learn input patterns as efficiently as possible. To realize this efficiency, we impose upon networks a constraint that only connections into new competitive units must be updated to absorb as much information as possible from outside. However, one of the problems is that the previous improper feature extraction prevents networks from extracting appropriate features in the later learning stages. To overcome this problem, we relax the condition of the previous model, and we permit networks to update all connections for gradual feature extraction at the expense of computational efficiency. We applied the new method to a simple problem that the previous model cannot solve, and information education data analysis. In both problems, we found that the new method can appropriately extract features from input patterns.
In this paper, we propose a new information theoretic network growing algorithm. The new approach is called greedy information acquisition, because networks try to absorb as much information as possible in every stage...
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In this paper, we propose a new information theoretic network growing algorithm. The new approach is called greedy information acquisition, because networks try to absorb as much information as possible in every stage of learning. In the first stage, two competitive units compete with each other by maximizing mutual information. In the successive stages, new competitive units are gradually added and information is maximized. Through greedy information maximization, different sets of important features in input patterns can be cumulatively discovered in successive stages. We applied our approach to a language classification problem. Experimental results confirmed that different features in input patterns are gradually discovered.
In this paper a new approach to the reconstruction of 3D trajectories of dense marker sets is proposed. The key element is the use of multiple passes to reconstruct the spatiotemporal structure of the movement with hi...
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In this paper a new approach to the reconstruction of 3D trajectories of dense marker sets is proposed. The key element is the use of multiple passes to reconstruct the spatiotemporal structure of the movement with high reliability. First the tracking procedure computes a coarse structure of the motion, which is then recursively refined disambiguating difficult classification of the markers. The tracking procedure is based on integrating the temporal dimension in the matching process, by analyzing strings instead of points to derive more robust matches. Strings are analyzed using smoothness, n-focal constraints, and fitting of a skeleton to derive a proper matching. An innovative augmented reality-like interface greatly simplifies the labeling task. Lastly, a proper value for the critical parameters is automatically derived. Results on real data show that the system is able to produce a robust and largely complete set of trajectories, which greatly minimize the time required by post-processing.
This paper proposes a new hand-held device called 'InfoPoint' that allows appliances to work together over a network. We have applied the idea of 'drag-and-drop' operation as provided in the GUIs of PC...
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Heuristic evaluation is widely used for single-user computer systems, but research is ongoing to find a valid set of heuristics that can be applied to synchronous multiuser, or collaborative, computing systems. I have...
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Interactive maps provide unique ways to support collaboration. They can be used to navigate virtual environments and support collaborative activities within these environments. This poster gives an example of mapbased...
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作者：
Shneiderman, BenDepartment of Computer Science
Human-Computer Interaction Laboratory Institute for Advanced Computer Studies and Institute for Systems Research University of Maryland College ParkMD20742 United States
The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the importance of giving users an overview and ...
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Widespread interest in discovering features and trends in time- series has generated a need for tools that support interactive *** paper introduces timeboxes: a powerful direct-manipulation metaphor for the specificat...
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