• DocumentCode
    565521
  • Title

    An intentional framework improves memory for a robot´s actions

  • Author

    Hymel, Alicia M. ; Levin, Daniel T.

  • Author_Institution
    Psychol. & Human Dev., Vanderbilt Univ., Nashville, TN, USA
  • fYear
    2012
  • fDate
    5-8 March 2012
  • Firstpage
    151
  • Lastpage
    152
  • Abstract
    Although a number of recent studies have explored people´s concepts about robots, almost no research has tested the degree to which these concepts affect people´s capacity to understand and remember a robot´s actions. In this study, we tested whether a narrative describing a robot performing basic intentional acts would be easier to remember than a narrative that described similar non-intentional actions. Participants read one of two stories about a robot in which it was either described as having intentional or non-intentional mental representations. Participants who read about the intentional robot were more likely to recall information about the robotic agent, but there was no difference between the two groups in accuracy for questions unrelated to the agent. Additionally, participants who read about the intentional robot were marginally more likely to falsely recall a non-present object that was similar to the objects that the robot did interact with. We conclude that beliefs about a robot affect encoding and recall of its actions, possibly due to a focus on the type of information the agent is believed to “mentally” represent.
  • Keywords
    human-robot interaction; intentional mental representation; intentional robot; memory improvement; nonintentional mental representation; robotic actions; robotic agent; Abstracts; Educational institutions; Humans; Psychology; Robots; Semantics; USA Councils; Concepts; HRI; Memory; Theory of Mind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human-Robot Interaction (HRI), 2012 7th ACM/IEEE International Conference on
  • Conference_Location
    Boston, MA
  • ISSN
    2167-2121
  • Print_ISBN
    978-1-4503-1063-5
  • Electronic_ISBN
    2167-2121
  • Type

    conf

  • Filename
    6249500