2023 ASEE Annual Conference & Exposition

Board 180: Understanding Children’s Perceptions of Robotics Through Drawings: Early Development of the Draw a Robot Task (Work in Progress)

Presented at Pre-College Engineering Education Division (PCEE) Poster Session

As the field of robotics evolves to include bioinspired designs, healthcare applications, and even soft materials, opportunities exist to broaden children’s understanding of what robots do and who can be involved in their development. Therefore understanding the perceptions of robotics and engineering that young children hold is important for broadening participation in STEM fields. One method proposed to understand the perceptions and stereotypes children have about the engineering world around them is the Draw an Engineer Task (DAET). As an extension of DAET, we recently proposed the Draw a Robot Task to understand specifically how children perceive the embodiments and applications of robots and roboticists. Our early work to develop the Draw a Robot Task relied on subjective analysis of the materials, bioinspiration, and applications in children’s drawings. In this work-in-progress paper, we explore image analysis software and development of machine learning tools to quantify features of the drawings to define traditional, rigid and soft, bioinspired robots. Toward validating the Draw a Robot Task as a means to both understand children’s perceptions of robots and to study impacts of the new soft robotics curricula for K12 classrooms, this paper presents pilot analysis and a machine learning algorithm to analyze children’s drawings. When combined with other measurements including interviews or observations, the Draw a Robot Task, enhanced with the objective analysis tools presented here, can aid researchers in understanding the earliest perceptions and stereotypes of robots held by young children.

Authors
  1. Dr. Holly M Golecki Orcid 16x16http://orcid.org/0000-0003-3691-0420 University of Illinois at Urbana - Champaign [biography]
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