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School of Interactive Computing

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Now showing 1 - 5 of 5
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    Designing Physical Representations of STEM Concepts With College Students With Cognitive Impairments
    ( 2020) Bruce, Carrie M. ; Parmar, Ruchita
    The Georgia Tech Excel program's Collaborative Design course involves 12 college students with varying degrees of cognitive impairment. This course is meant to support authentic inclusive design and enable equitable access to design language and processes for these as well as other students with impairments which could range from dexterity issues to intellectual developmental disorders or executive functioning issues. This paper primarily focuses on the research that we conducted to design and run a pilot module within the course that focuses on exploring hands-on physical represenations of online physics simulations.
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    A Dynamic and Dual-Process Theory of Humor
    (Georgia Institute of Technology, 2015-05) Li, Boyang
    The cognitive mechanism of humor has been studied for centuries, with multiple seemingly incompatible theories proposed. Recent research in emotions suggests human emotions are tightly coupled and closely interact with other types of cognitive processes. This entangled nature contributes to the difficulty of humor research. In this paper, I attempt to provide a single, unified framework of humor, grounded in recent developments on emotion and dual-process cognition. I propose that humor comprehension consists of a four-step dynamic process: surprise, reflection, dismissal and compensation. The proposed theory provides a modern update on existing theories of humor, and is capable of explaining several phenomena that cannot be easily explained by existing theories. I also discuss the implication of the theory on creating computational systems that can create or perceive humor.
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    From HCI to ACI: User-centered and Participatory design in Canine ACI
    (Georgia Institute of Technology, 2014-10-26) Valentin, Giancarlo
    As is the case with new scientific disciplines, Animal-Computer Interaction (ACI) has motivated the re-examination of solved and unsolved issues in the philosophy of science. Using canine-human interaction as an example, these challenges are traced back to their roots in existing disciplines. We argue that, as long as research adheres to minimal standards, it should be considered ACI regardless of its stance on these debates.
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    Canine Reachability of Snout-based Wearable Inputs
    (Georgia Institute of Technology, 2014-09) Valentin, Giancarlo ; Alcaidinho, Joelle ; Friel, Larry ; Zeagler, Clint ; Jackson, Melody Moore ; Starner, Thad
    We designed an experiment with the goal of assessing wearable reachability for canines. We investigated the effect of placement on the ability of dogs to reach on-body interfaces with their snouts. In our pilot study, seven placements along the front legs, rib cage, hip and chest are tested with six dogs. The results showed that the front leg placements are reachable with the least amount of training and are also the most invariant to small changes in location. With training, the lower half of the rib cage area had the fastest access times across subjects. We hope that these results may be useful in mapping the constraint space of placements for snout interactions.
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    Facilitating Interactions for Dogs with Occupations: Wearable Dog - Activated Interfaces
    (Georgia Institute of Technology, 2013-09) Jackson, Melody Moore ; Zeagler, Clint ; Valentin, Giancarlo ; Martin, Alex ; Martin, Vincent ; Delawalla, Adil ; Blount, Wendy ; Eiring, Sarah ; Hollis, Ryan ; Kshirsagar, Yash ; Starner, Thad
    Working dogs have improved the lives of thousands of people. However, communication between human and canine partners is currently limited. The main goal of the FIDO project is to research fundamental aspects of wearable technologies to support communication between working dogs and their handlers. In this pilot study, the FIDO team investigated on-body interfaces for assistance dogs in the form of wearable technology integrated into assistance dog vests. We created four different sensors that dogs could activate (based on biting, tugging, and nose gestures) and tested them on-body with three assistance-trained dogs. We were able to demonstrate that it is possible to create wearable sensors that dogs can reliably activate on command.