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        <identifier>oai:figshare.com:article/33826687</identifier>
        <datestamp>2026-09-16T06:25:00Z</datestamp>
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          <dc:title>Will android astronomers dream of electric stars? An experiment in collaborative astronomical visual data exploration with a humanoid robot</dc:title>
          <dc:creator>Christopher Fluke (18925279)</dc:creator>
          <dc:creator>John McCormick (18926713)</dc:creator>
          <dc:creator>Michelle Cluver (18924847)</dc:creator>
          <dc:creator>Brian Brady (18913822)</dc:creator>
          <dc:subject>Astronomical data analysis</dc:subject>
          <dc:subject>Collaborative visual data exploration</dc:subject>
          <dc:subject>Humanoid robots</dc:subject>
          <dc:subject>Human-robot collaboration</dc:subject>
          <dc:subject>Scientific sensemaking</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Astronomy is in an era of data-driven discovery, where much of the information collected and generated will never be examined directly by human researchers. As a component of data exploration and discovery, artificial intelligence is changing the way we think about scientific collaboration; however, work to date has almost exclusively considered non-embodied algorithms running on a computer. In this work, we report on an experimental study involving a visual data exploration activity, mediated via a large-format display, where a humanoid robot shares the physical environment with humans. Throughout, we used role-playing and reflective practices to characterise and compare human--human collaborative visual discovery processes with those arising between humans and robots. Across three sessions, we moved from familiarisation with a Unitree G1 humanoid robot to working alongside a new sensemaking collaborator, Roci. While Roci's ontological agency was low, requiring teleoperation throughout for locomotion and gesturing, his phenomenological agency was high: we accepted Roci as a collaborator whose actions were perceived as intentional. Our study highlights four complementary roles for humanoid robots in visual data exploration: (1) the Assistant, responding to requests for information or to perform research activities; (2) the Educator, patiently explaining and demonstrating to a novice how to complete a visual exploration task; (3) the Proxy, standing in for an absent collaborator to provide continuity in the data exploration process; and (4) the Collaborator, where the robot attains equal status in a human-robot team, performing discovery tasks and contributing to the development of knowledge. As humanoid robots continue to become more accessible and affordable, we see a pathway for robots to start to play a range of roles in astronomy that were not envisaged previously. The future of human-robot collaborative visual data exploration in astronomy starts here.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-16T00:00:00Z</dc:date>
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          <dc:rights>CC BY-NC-ND 4.0</dc:rights>
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