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Inferring Stressors from Conversation: Towards an Emotional Support Robot Companion

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Abstract

People build relationships with each other through emotional support. Appropriate care provided by friends or family may critically help people extricate themselves from negative emotional states. In this work, we implement a conversational robot that can provide emotional support to people facing stressful situations in their daily lives. The proposed robot system extracts meaningful keywords from the support recipients’ speech to identify the moments when people expose their concerns through self-disclosure. These keywords are then used to determine the underlying stressors in the recipients’ minds. By using a novel approach through a commonsense knowledge graph-based Bayesian network, the proposed system leverages Gibbs sampling to infer the posterior probability of various documented stressors. Moreover, we trained a neural network to determine an appropriate support strategy that should be offered to a recipient with a specific personality given a detected stressor. We evaluated our implementation through several human-in-loop experiments. Results show that this system can correctly identify the underlying stressors from speech and provide appropriate emotional support required to help people cope with difficult situations in one’s life.

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Availability of data and material

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Funding

This research was supported by the Ministry of Science and Technology of Taiwan, and Center for Artificial Intelligence & Advanced Robotics, National Taiwan University, under the grant numbers MOST 110-2634-F-002-049 & MOST 110-2221-E-002-166-MY3.

Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan

    Yu-Cian Huang & Yan-Jia Huang

  2. Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan

    Xiaobei Qian

  3. Research Center for Artificial Intelligence and Advanced Robotics, National Taiwan University, Taipei, Taiwan

    Edwinn Gamborino & Li-Chen Fu

  4. Department of Psychology, National Taiwan University, Taipei, Taiwan

    Su-Ling Yeh

Authors
  1. Yu-Cian Huang
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  2. Edwinn Gamborino
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  3. Yan-Jia Huang
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  4. Xiaobei Qian
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  5. Li-Chen Fu
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  6. Su-Ling Yeh
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Correspondence to Li-Chen Fu.

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Huang, YC., Gamborino, E., Huang, YJ. et al. Inferring Stressors from Conversation: Towards an Emotional Support Robot Companion. Int J of Soc Robotics 14, 1657–1671 (2022). https://doi.org/10.1007/s12369-022-00902-0

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