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  • Psychology
    Chaz Firestone (Johns Hopkins University)
    Seeing “How”

    MB 7/159 & Zoom Universitätsstr. 150, Bochum, NRW, Germany

    What is perception? The most intuitive and influential answer to this question has long been the one given by David Marr: To see the world is “to know what is where by looking” — to transform light into representations of objects and their features, located somewhere in space. But is this all that perception delivers? Consider the figure to the right; certainly you see some colored shapes, as well as where they are located. Yet, beyond this, you may also see how they relate to one another: The green piece can fit into the others, and even create a new object with a shape of its own.
    In this talk, I present evidence that perception extracts relations between objects in much the same way as it processes the objects themselves, and that these relations are abstract, structured, and surprisingly sophisticated. We’ll explore (and experience) the perception of several sophisticated relations between objects, including combining, supporting, containing, covering, and fastening — as well as relational “illusions” in which objects appear to interact with mysteriously invisible entities. Together, this work suggests that we see not only “what” and “where”, but also “how”.

  • Psychology
    Linda Onnasch (TU Berlin) & Eileen Roesler (George Mason University)
    Trust(worthiness) Issues with Trust in Human-Robot Interaction

    IA 02/461

    Abstract: Trust is one of the most popular concepts in Human–Robot Interaction (HRI)—but also one of the most misunderstood. In this talk, we argue that HRI research has oversimplified trust by treating perceived trustworthiness as a stand-in for trust itself, often ignoring the risk and vulnerability that make trust meaningful in the first place. By revisiting trust theory, measurements, and common research
    paradigms, we uncover key “trust issues” in HRI and propose ways to build more rigorous and insightful future research on trust in HRI.