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  <title><![CDATA[GVU Brown Bag: Sara McBride & Eric Stearman]]></title>
  <body><![CDATA[<p><strong>Recognizing Emotion in Virtual Agent, Synthetic Human, and Human Facial Expressions</strong></p>
<p><strong>Abstract:</strong>&nbsp; A growing interest in the HCI community is the design and 
development of embodied agents in virtual environments. For virtual 
environments where social interaction is needed, an agent’s facial 
expression may communicate emotive state to users both young and old. 
However, younger and older adults differ in how they label human facial 
expressions (Ruffman et al., 2008). Such possible age-related 
differences in labeling virtual agent expressions may impact the user’s 
social experience in a virtual environment. The purpose of the current 
research was to investigate age-related differences in emotion 
recognition of several on-screen characters of varying degrees of 
human-likeness. Participants performed a recognition task with three 
characters demonstrating four basic emotions or neutral. The results 
indicated age-related differences for all character types. Older adults 
commonly mislabeled the human and synthetic human emotions of anger, 
fear, sadness, and neutral. For the virtual agent face, older adults 
commonly mislabeled the emotions of anger, fear, happiness, and neutral.</p>
              <strong>Bio:&nbsp;</strong>
                    <p>Sara McBride is a 4th year graduate student in 
the Human Factors and Aging Laboratory. She is currently completing the 
requirements for a Ph.D. in Engineering Psychology. Her main&nbsp; research 
interests include understanding how people interact with complex 
automated systems, and the factors that can make this interaction more 
successful.</p><p>&nbsp;</p>
<p><strong>Effects of Age-of-Flight on Situation Awareness in <em>En Route </em>Air Traffic Control&nbsp; </strong></p>
<p><strong>Abstract:</strong>&nbsp; The purpose of this study was to examine how situation 
awareness (SA) changes in en route air traffic control throughout the 
course of a flight.&nbsp; Sixteen participants were recruited from Georgia 
Institute of Technology.&nbsp; Participants were trained for five weeks on a 
low fidelity air traffic control simulator (NextSim).&nbsp; During the five 
weeks of training, situation awareness was measured during four 
sessions.&nbsp; Participants were queried about protagonist information 
(speed and altitude) or intentionality information (destination).&nbsp; 
Queries were asked about flights which had been on the screen for 30-45 
seconds (entering flights), flights which had been on the screen for a 
minimum of 90 seconds (middle flights), or no flights had the 
characteristic.&nbsp; Questions regarding protagonist information were 
answered more quickly than questions regarding intentionality for all 
ages-of-flights.&nbsp; However, questions regarding protagonist information 
improved for middle flights compared to entering flights while questions
 regarding intentionality were worse for middle flights compared to 
entering flights.&nbsp; These results indicate that altitude and speed become
 more important, and that destination becomes less important, as a 
flight moves through the sector.&nbsp; Therefore, interventions designed to 
improve SA should take into account the age-of-flight and characteristic
 trying to be improved.</p>
        
        


    
            <strong>Bio:</strong><br /><p>Eric Stearman received his B.S. in Psychology from the University of 
Central Florida.&nbsp; Eric is currently a second year graduate student in 
the Engineering Psychology program at the Georgia Institute of 
Technology.&nbsp; His current research focuses on situation awareness and 
monitoring in air traffic control including the proposed NextGen 
environment.</p>]]></body>
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