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Xiao B, Imel ZE, Georgiou P, et al. Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework. Curr Psychiatry Rep. 2016;18(5):49doi: 10.1007/s11920-016-0682-5.
Xiao, B., Imel, Z. E., Georgiou, P., Atkins, D. C., & Narayanan, S. S. (2016). Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework. Current psychiatry reports, 18(5), 49. https://doi.org/10.1007/s11920-016-0682-5
Xiao, Bo, et al. "Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework." Current psychiatry reports vol. 18,5 (2016): 49. doi: https://doi.org/10.1007/s11920-016-0682-5
Xiao B, Imel ZE, Georgiou P, Atkins DC, Narayanan SS. Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework. Curr Psychiatry Rep. 2016 May;18(5):49. doi: 10.1007/s11920-016-0682-5. PMID: 27017830; PMCID: PMC5405768.
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Curr Psychiatry Rep. 2016 May;18(5):49. doi: 10.1007/s11920-016-0682-5.

Computational Analysis and Simulation of Empathic Behaviors: a Survey of Empathy Modeling with Behavioral Signal Processing Framework.

Current psychiatry reports

Bo Xiao, Zac E Imel, Panayiotis Georgiou, David C Atkins, Shrikanth S Narayanan

Affiliations

  1. SAIL, Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA.
  2. Department of Educational Psychology, University of Utah, Salt Lake City, UT, USA.
  3. Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
  4. SAIL, Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA. [email protected].

PMID: 27017830 PMCID: PMC5405768 DOI: 10.1007/s11920-016-0682-5

Abstract

Empathy is an important psychological process that facilitates human communication and interaction. Enhancement of empathy has profound significance in a range of applications. In this paper, we review emerging directions of research on computational analysis of empathy expression and perception as well as empathic interactions, including their simulation. We summarize the work on empathic expression analysis by the targeted signal modalities (e.g., text, audio, and facial expressions). We categorize empathy simulation studies into theory-based emotion space modeling or application-driven user and context modeling. We summarize challenges in computational study of empathy including conceptual framing and understanding of empathy, data availability, appropriate use and validation of machine learning techniques, and behavior signal processing. Finally, we propose a unified view of empathy computation and offer a series of open problems for future research.

Keywords: Analysis; Behavioral signal processing; Computational modeling; Empathy; Simulation

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