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Comparing the value of perceived human versus AI-generated empathy
16 references·4 citing·47 second hop
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References

  • 2004A Short Scale for Measuring Loneliness in Large Surveys4,763 cited
  • 2000Machines and Mindlessness: Social Responses to Computers3,990 cited
  • 2012The neuroscience of empathy: progress, pitfalls and promise1,230 cited
  • 2019Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape1,025 cited
  • 2019How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables993 cited
  • 2017Mammalian empathy: behavioural manifestations and neural basis956 cited
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  • 2022A systematic review on affective computing: emotion models, databases, and recent advances619 cited
  • 2023Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support498 cited
  • 2019Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns450 cited
  • 2019Empathy is hard work: People choose to avoid empathy because of its cognitive costs.

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364 cited
  • 2017Empathy in Virtual Agents and Robots363 cited
  • 2023Artificial intelligence in communication impacts language and social relationships252 cited
  • Cited by

    • 2025A Framework for Automation in Psychotherapy3 cited
    • 2026Chaplains' Reflections on the Design and Usage of AI for Conversational Care2 cited
    • 2026Cultural Relevance and Acceptability of Cognitive Behavioral Therapy Techniques Adapted by AI or a Human Psychologist: Experimental Study2 cited
    • 2026Up the mountain or down the rabbit hole? A simple rubric to conceptualise the benefits and risks of AI conversations as dynamic changes in awareness1 cited