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Intelligent humanoid robots expressing artificial humanlike empathy in nursing situations

Joseph Andrew Pepito, Hirokazu Ito, Feni Betriana, Tetsuya Tanioka, Rozzano C. Locsin

Year
2020
Citations
69

Abstract

Intelligent humanoid robots (IHRs) are becoming likely to be integrated into nursing practice. However, a proper integration of IHRs requires a detailed description and explanation of their essential capabilities, particularly regarding their competencies in replicating and portraying emotive functions such as empathy. Existing humanoid robots can exhibit rudimentary forms of empathy; as these machines slowly become commonplace in healthcare settings, they will be expected to express empathy as a natural function, rather than merely to portray artificial empathy as a replication of human empathy. This article works with a twofold purpose: firstly, to consider the impact of artificial empathy in nursing and, secondly, to describe the influence of Affective Developmental Robotics (ADR) in anticipation of the empathic behaviour presented by artificial humanoid robots. The ADR has demonstrated that it can be one means by which humanoid nurse robots can achieve expressions of more relatable artificial empathy. This will be one of the vital models for intelligent humanoid robots currently in nurse robot development for the healthcare industry. A discussion of IHRs demonstrating artificial empathy is critical to nursing practice today, particularly in healthcare settings dense with technology.

Keywords

EmpathyHumanoid robotRobotArtificial intelligenceComputer scienceEmotivePsychologyHuman–computer interactionAnticipation (artificial intelligence)Nursing

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