Browsing by Subject "Naturalistic experiments"

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    A naturalistic laboratory setup for real-world HRI studies
    (Association for Computing Machinery, 2024-03-11) Pekçetin, T.N.; Evsen, Şeyda; Pekçetin, S.; Karaduman, Tuvana Dilan; Acarturk, C.; Ürgen, Burcu Ayşen
    We present our novel naturalistic laboratory setup that facilitates the presentation of real-world live-action stimuli by physically present actors in a controlled manner. Participants observe liveaction stimuli through a screen, which is surrounded by curtains, akin to a theatre experience, and promptly evaluate them when the screen turns to its opaque mode. Additionally, we introduce key components of the setup, including curtains, an actor PC, a security camera, and a bell, and the insights we gained during the task development. This innovative setup holds promise for advancing real-world investigations in Human-Robot Interaction.
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    Real-world implicit association task for studying mind perception: insights for social robotics
    (Association for Computing Machinery, 2024-03-11) Pekçetin, T.N.; Evsen, Şeyda; Pekçetin, S.; Acarturk, C.; Ürgen, Burcu Ayşen
    In response to the growing demand for enhanced integration of implicit measurements in Human-Robot Interaction (HRI) research, the need for studies involving physically present robots, and the calls for a transition from lab experiments to more naturalistic investigations, we introduce the Real-World Implicit Association Task (RW-IAT). This report outlines the versatile methodology of the RW-IAT; emphasizing its allowance to present real-life stimuli and capture behavioral data, including response times and mouse tracking metrics in a controlled manner. Sample analyses focusing on communicative and noncommunicative actions between a human actor and the Pepper robot reveal signifcant efects on the Agency and Experience dimensions of the mind perception. We believe the methodology we proposed will contribute to conducting ecologically valid research in the feld of HRI in real-world contexts.