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Empathic Robots for Long-term Interaction

Evaluating Social Presence, Engagement and Perceived Support in Children

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Abstract

As a great number of robotic products are entering people’s lives, the question of how can they behave in order to sustain long-term interactions with users becomes increasingly more relevant. In this paper, we present an empathic model for social robots that aim to interact with children for extended periods of time. The application of this model to a scenario where a social robot plays chess with children is described. To evaluate the proposed model, we conducted a long-term study in an elementary school and measured children’s perception of social presence, engagement and social support.

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Acknowledgments

We would like to express our gratitude to all the staff and study participants from Escola 31 de Janeiro in Parede, where the long-term experiment was conducted. This research was supported by EU \(7{\mathrm{th}}\) FP under grant agreement no. 317923, and by national funds through FCT-Fundação para a Ciência e a Tecnologia, under project PEst-OE/EEI/LA0021/2011, the PIDDAC Program funds. The authors are solely responsible for the content of this publication. It does not represent the opinion of the EC, and the EC is not responsible for any use that might be made of data appearing therein.

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Correspondence to Iolanda Leite.

Appendix: Questionnaire Items

Appendix: Questionnaire Items

1.1 Engagement

  1. 1.

    iCat made me participate more in the game.

  2. 2.

    It was fun playing with iCat.

  3. 3.

    Playing with iCat caused me real feelings and emotions.

  4. 4.

    I lost track of time while playing with iCat.

1.2 Social Presence

  1. 1.

    I noticed iCat. (Co-presence)

  2. 2.

    iCat noticed me. (Co-presence)

  3. 3.

    I remained focused on iCat. (Attentional Allocation)

  4. 4.

    iCat remained focused on me. (Attentional Allocation)

  5. 5.

    My thoughts were clear to iCat. (Perceived Message Understanding)

  6. 6.

    iCat’s thoughts were clear to me. (Perceived Message Understanding)

  7. 7.

    I could tell how iCat felt. (Perceived Affective Understanding)

  8. 8.

    iCat could tell how I felt. (Perceived Affective Understanding)

  9. 9.

    iCat was influenced by my mood. (Perceived Affective Interdependence)

  10. 10.

    I was influenced by iCat’s mood. (Perceived Affective Interdependence)

  11. 11.

    iCat’s behaviour was tied to mine. (Perceived Behavioural Interdependence)

  12. 12.

    My behaviour was tied to iCat’s behaviour. (Perceived Behavioural Interdependence)

1.3 Perceived Support

  1. 1.

    iCat helped me during the game. (Help)

  2. 2.

    iCat’s comments were useful to me. (Help)

  3. 3.

    iCat’s comments were helpful when I needed them. (Help)

  4. 4.

    I felt that I could play better in the presence of iCat. (Self-Validation)

  5. 5.

    iCat praised me when I played well. (Self-Validation)

  6. 6.

    iCat comforts me when I am upset. (Social Support)

  7. 7.

    iCat cares about me. (Social Support)

  8. 8.

    iCat gives me good advice. (Social Support)

  9. 9.

    iCat accepts me for who I am. (Social Support)

  10. 10.

    iCat supports my decisions. (Social Support)

  11. 11.

    I can count on iCat. (Social Support)

  12. 12.

    iCat encourages me. (Social Support)

  13. 13.

    iCat understands me. (Social Support)

  14. 14.

    iCat praises me when I’ve done something well. (Social Support)

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Leite, I., Castellano, G., Pereira, A. et al. Empathic Robots for Long-term Interaction. Int J of Soc Robotics 6, 329–341 (2014). https://doi.org/10.1007/s12369-014-0227-1

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