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    <title>SMARTech Collection: GVU Center Technical Reports</title>
    <link>http://smartech.gatech.edu/handle/1853/49</link>
    <description>Research papers published by researchers associated with the Center.</description>
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  <item rdf:about="http://smartech.gatech.edu/handle/1853/32095">
    <title>Acting Deceptively: Providing Robots with the Capacity for Deception</title>
    <link>http://smartech.gatech.edu/handle/1853/32095</link>
    <description>Title: Acting Deceptively: Providing Robots with the Capacity for Deception
&lt;br/&gt;
&lt;br/&gt;Authors: Wagner, Alan R.; Arkin, Ronald C.
&lt;br/&gt;
&lt;br/&gt;Abstract: Deception is utilized by a variety of intelligent systems ranging from insects to human beings. It has been argued that the use of deception is an indicator of theory of mind (Cheney &amp; Seyfarth, 2008) and of social intelligence (Hauser, 1992). We use interdependence theory and game theory to explore the phenomena of deception from the perspective of robotics, and to develop an algorithm which allows an artificially intelligent system to determine if deception is warranted in a social situation. Using techniques introduced in (Wagner, 2009a), we present an algorithm that bases a robot's deceptive action select on its model of the individual it's attempting to deceive. Simulation and robot experiments using these algorithms which investigate the nature of deception itself are discussed.</description>
  </item>
  <item rdf:about="http://smartech.gatech.edu/handle/1853/31586">
    <title>Using In-Home Power Lines to Extend the Range of Low-Power Wireless Devices</title>
    <link>http://smartech.gatech.edu/handle/1853/31586</link>
    <description>Title: Using In-Home Power Lines to Extend the Range of Low-Power Wireless Devices
&lt;br/&gt;
&lt;br/&gt;Authors: Stuntebeck, Erich P.; Robertson, Thomas; Abowd, Gregory D.; Patel, Shwetak N.
&lt;br/&gt;
&lt;br/&gt;Abstract: This work demonstrates the feasibility of using existing&#xD;
in-home electrical wiring to extend the operational range of&#xD;
certain wireless devices. Specifically, a wireless keyboard&#xD;
operating at 27 MHz, which has an operational range of&#xD;
1.5 – 2 meters on its own, was extended to work throughout&#xD;
a 3-story 4,000 square foot / 371 square meter home by&#xD;
coupling the antenna port on its receiver to the power lines.&#xD;
Coupling between the keyboard and the power lines&#xD;
occurred over the air, and coupling at the receiver was&#xD;
accomplished capacitively by simply wrapping a wire&#xD;
connected to the receiver’s antenna port several times&#xD;
around a standard electrical device cord plugged into a wall&#xD;
socket. This phenomenon of the power line as a&#xD;
communications infrastructure for inexpensive and lowpower&#xD;
wireless devices has a variety of interesting potential&#xD;
avenues of research in the home.</description>
  </item>
  <item rdf:about="http://smartech.gatech.edu/handle/1853/31512">
    <title>Recognizing Sign Language from Brain Imaging</title>
    <link>http://smartech.gatech.edu/handle/1853/31512</link>
    <description>Title: Recognizing Sign Language from Brain Imaging
&lt;br/&gt;
&lt;br/&gt;Authors: Mehta, Nishant A.; Starner, Thad; Jackson, Melody Moore; Babalola, Karolyn O.; James, George Andrew
&lt;br/&gt;
&lt;br/&gt;Abstract: The problem of classifying complex motor activities from brain imaging is relatively&#xD;
new territory within the fields of neuroscience and brain-computer interfaces.&#xD;
We report positive sign language classification results using a tournament&#xD;
of pairwise support vector machine classifiers for a set of 6 executed signs and&#xD;
also for a set of 6 imagined signs. For a set of 3 contrasted pairs of signs, executed&#xD;
sign and imagined sign classification accuracies were highly significant at 96.7%&#xD;
and 73.3% respectively. Multiclass classification results also were highly significant&#xD;
at 66.7% for executed sign and 50% for imagined sign. These results lay&#xD;
the groundwork for a brain-computer interface based on imagined sign language,&#xD;
with the potential to enable communication in the nearly 200,000 individuals that&#xD;
develop progressive muscular diseases each year.</description>
  </item>
  <item rdf:about="http://smartech.gatech.edu/handle/1853/31469">
    <title>An Ethical Adaptor: Behavioral Modification Derived from Moral Emotions</title>
    <link>http://smartech.gatech.edu/handle/1853/31469</link>
    <description>Title: An Ethical Adaptor: Behavioral Modification Derived from Moral Emotions
&lt;br/&gt;
&lt;br/&gt;Authors: Arkin, Ronald C.; Ulam, Patrick
&lt;br/&gt;
&lt;br/&gt;Abstract: This paper presents the motivation, basis and a&#xD;
prototype implementation of an ethical adaptor capable of&#xD;
using a moral affective function, guilt, as a basis for altering a&#xD;
robot’s ongoing behavior. While the research is illustrated in&#xD;
the context of the battlefield, the methods described are&#xD;
believed generalizable to other domains such as eldercare and&#xD;
are potentially extensible to a broader class of moral emotions,&#xD;
including compassion and empathy.</description>
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