Social Engagement in Public Places: A Tale of One Robot

Abstract

In this paper, we describe a large-scale (over 4000 participants) observational field study at a public venue, designed to explore how social a robot needs to be for people to engage with it. In this study we examined a prediction of Computers Are Social Actors (CASA) framework: the more machines present human-like characteristics in a consistent manner, the more likely they are to invoke a social response. Our humanoid robot's behavior varied in the amount of social cues, from no active social cues to increasing levels of social cues during story-telling to human-like game-playing interaction. We found several strong aspects of support for CASA: the robot that provides even minimal social cues (speech) is more engaging than a robot that does nothing and the more human-like the robot behaved during story-telling the more social engagement was observed. However, contrary to the prediction, the robot's game-playing did not elicit more engagement than other, less social behaviors.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2014
Accession Number
ADA618867

Entities

People

  • J. Gregory Trafton
  • Lilia Moshkina
  • Susan Trickett

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Computers
  • Computing Devices
  • Economic Forecasting
  • Governments
  • Human Behavior
  • Human-Robot Interaction
  • Information Operations
  • Interdisciplinary Science
  • Military Research
  • National Governments
  • Reliability
  • Robots
  • Statistical Tests
  • United States

Fields of Study

  • Psychology

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Human-Robot Interaction