Ashley Douglas

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About

Ashley Douglas explores the intersection of robotics, human perception, and the performing arts, with a primary focus on how movement and synchrony shape our impressions of machine agency. In her most-cited work, "Effects related to synchrony and repertoire in perceptions of robot dance" (2011, 18 citations), she demonstrates that low-level motion cues—such as rhythmic coordination and movement variety—can powerfully influence whether observers perceive robots as lifelike, entertaining, or even intentional. Through carefully designed experiments where participants rated split-screen videos of multiple robots dancing to music, Douglas reveals that synchrony between robots significantly enhances perceptions of social presence and aesthetic appeal. This research bridges cognitive science and robotics, offering practical insights for designing more engaging human-robot interactions in entertainment, therapy, and collaborative settings. While her citation count reflects a focused, emerging impact, her work stands out for its creative methodology and its challenge to conventional assumptions about what makes machines seem alive. Douglas’s contributions are particularly notable for grounding abstract questions of animacy in measurable, low-level motion features—a valuable framework for future research in social robotics and human-robot communication.