Injuries from residential fires are often overlooked as a dangerous safety concern for children. While lectures and classroom learning techniques can be effective in mitigating this risk, studies have shown that kids ...
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ISBN:
(纸本)9780889867253
Injuries from residential fires are often overlooked as a dangerous safety concern for children. While lectures and classroom learning techniques can be effective in mitigating this risk, studies have shown that kids retain information better if they are allowed to practice escape techniques. Virtual Reality has been used to simulate situations that are too dangerous to practice in real life. This paper presents a fire safety program that combines classroom activities and small group interaction with fire professionals with a virtual simulation of an at-risk house. Students help firefighters to identify home fire hazards and then practice escaping from a simulated fire in a virtual environment. A CAVE is used to immerse participants in the fire scene.
A rear-projection multi-touch tabletop display was augmented with hand tracking utilizing computer vision techniques. Touch detection by frustrated total internal reflection is useful for achieving interaction with ta...
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A rear-projection multi-touch tabletop display was augmented with hand tracking utilizing computer vision techniques. Touch detection by frustrated total internal reflection is useful for achieving interaction with tabletop displays, but the technique is not always reliable when multiple users in close proximity simultaneously interact with the display. To solve this problem, we combine touch detection and hand tracking techniques in order to allow multiple users to simultaneously interact with the display without interference. Our hope is that by considering activities occurring on and above a tabletop display, multiuser interaction will become more natural and useful, which should ultimately support collaborative work.
This paper describes an intelligent tutoring system, LARGO, that helps students learn skills of legal reasoning with hypotheticals by analyzing oral arguments before the US Supreme Court. The skills involve proposing ...
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ISBN:
(纸本)1595936807
This paper describes an intelligent tutoring system, LARGO, that helps students learn skills of legal reasoning with hypotheticals by analyzing oral arguments before the US Supreme Court. The skills involve proposing a rule-like test for deciding a case, posing hypotheticals to challenge the rule, and responding by analogizing or distinguishing the hypotheticals and/or modifying the proposed test. Students diagram arguments in a special-purpose graphical language and receive feedback in the form of reflection questions. Copyright 2007 ACM.
Coordinating activities in many settings can require people to manage conflict, potential and actual. Conflict arises from resource limitations, high-stakes consequences, uncertainty, goal conflict among stakeholders ...
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Shape matching is one of the fundamental problems in content-based 3D shape retrieval. Since there are typically a large number of possible matches in a shape database, there is a crucial need to perform shape matchin...
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Traditional electronic commerce (e-commerce) is facing a bottleneck because it cannot provide enough direct information about products to online consumers. The technology presented in this paper shows how Augmented Re...
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The human body constructs itself into a person by becoming attuned to the affective consequences of its actions in social relationships. Norms develop that ground perception and action, providing standards for apprais...
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Eye tracking has long held the promise of being a useful methodology for humancomputerinteraction. However, a number of barriers have stood in the way of the integration of eye tracking into everyday applications, i...
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