Intelligent humanoid robots expressing artificial humanlike empathy in nursing situations

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

doi:10.1111/nup.12318

Cited by 39 publications

(30 citation statements)

References 44 publications

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“…Such robots should be able to take over logistical tasks or assist in care or daily life. Besides technical aspects, also the simplicity and empathy in interactions are highly relevant for these assistance tasks (Pepito et al, 2020).…”

Section: Caregiving (Shared Autonomy and Seamless Autonomy Activation)mentioning

confidence: 99%

Model-Augmented Haptic Telemanipulation: Concept, Retrospective Overview, and Current Use Cases

et al. 2021

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Certain telerobotic applications, including telerobotics in space, pose particularly demanding challenges to both technology and humans. Traditional bilateral telemanipulation approaches often cannot be used in such applications due to technical and physical limitations such as long and varying delays, packet loss, and limited bandwidth, as well as high reliability, precision, and task duration requirements. In order to close this gap, we research model-augmented haptic telemanipulation (MATM) that uses two kinds of models: a remote model that enables shared autonomous functionality of the teleoperated robot, and a local model that aims to generate assistive augmented haptic feedback for the human operator. Several technological methods that form the backbone of the MATM approach have already been successfully demonstrated in accomplished telerobotic space missions. On this basis, we have applied our approach in more recent research to applications in the fields of orbital robotics, telesurgery, caregiving, and telenavigation. In the course of this work, we have advanced specific aspects of the approach that were of particular importance for each respective application, especially shared autonomy, and haptic augmentation. This overview paper discusses the MATM approach in detail, presents the latest research results of the various technologies encompassed within this approach, provides a retrospective of DLR's telerobotic space missions, demonstrates the broad application potential of MATM based on the aforementioned use cases, and outlines lessons learned and open challenges.

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Section: Caregiving (Shared Autonomy and Seamless Autonomy Activation)mentioning

confidence: 99%

Model-Augmented Haptic Telemanipulation: Concept, Retrospective Overview, and Current Use Cases

et al. 2021

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“…Thus, it is necessary to develop a "Caring Dialog Database" for HNRs in order to enhance robot capabilities to know the patient/client, and to share the expressions of human-robot interactions in esthetic ways. Furthermore, it is important to develop a dialog pattern that allows humanoid robots to empathize with an older person [9]. The ability to empathize and to communicate accurate empathy is likely to enhance the older person's feeling cared for through HNR actions such as: 1) Listening attentively and accepting of older persons; 2) Knowing older persons intentionally; and 3) Establishing appropriate caring dialog.…”

Section: Development Of Caring Dialogical Database Of Humanoid Nursing Partner Robots and Older Personsmentioning

confidence: 99%

“…The HNRs must perform appropriate empathic dialogs [9,11] by accurately judging the person's expression, non-verbal, and language expressions using AI sensory tools [12].…”

Section: Robotics and Artificial Intelligencementioning

confidence: 99%

Issues in the Development of Conversation Dialog for Humanoid Nursing Partner Robots in Long-Term Care

Tanioka¹,

Betriana²,

Tanioka³

et al. 2021

Information Systems - Intelligent Information Processing Systems, Natural Language Processing, Affective Computing and Artifici

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The purpose of this chapter is to explore the issues of development of conversational dialog of robots for nursing, especially for long-term care, and to forecast humanoid nursing partner robots (HNRs) introduced into clinical practice. In order to satisfy the required performance of HNRs, it is important that anthropomorphic robots act with high-quality conversational dialogic functions. As for its hardware, by allowing independent range of action and degree of freedom, the burden of quality exerted in human-robot communication is reduced, thereby unburdening nurses and professional caregivers. Furthermore, it is critical to develop a friendlier type of robot by equipping it with non-verbal emotive expressions that older people can perceive. If these functions are conjoined, anthropomorphic intelligent robots will serve as possible instructors, particularly for rehabilitation and recreation activities of older people. In this way, more than ever before, the HNRs will play an active role in healthcare and in the welfare fields.

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“…This article outlines some of the current findings on HRI to then critically assess the broader implications of HRI and key questions that must be asked in this context. Social robots, i.e., robots that engage on a social level with humans, are expected to increasingly assist and support humans in workplace environments, healthcare, entertainment, training and education, and other fields (Ahmad et al, 2017;Richert et al, 2018;Pepito et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…By using an interdisciplinary approach that involves behavioral studies and cognitive and social neuroscience, recent research on social cognition and HRI investigates how humans perceive, interact with and react to robots in social contexts (Cross et al, 2019;Henschel et al, 2020). Especially in the context of possible future uses in healthcare or geriatric care, the importance of developing robots with which humans can easily and naturally interact has been stressed (Pepito et al, 2020;Wykowska 2020). Henschel et al (2020) argue that research into and knowledge of the neurocognitive mechanisms involved in human-robot interaction will supply critical insights for optimizing social interaction between humans and robots which will in turn help to develop socially sophisticated robots.…”

Section: Introductionmentioning

confidence: 99%

What Sort of Robots Do We Want to Interact With? Reflecting on the Human Side of Human-Artificial Intelligence Interaction

Hildt

2021

Front. Comput. Sci.

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Intelligent humanoid robots expressing artificial humanlike empathy in nursing situations

Cited by 39 publications

References 44 publications

Model-Augmented Haptic Telemanipulation: Concept, Retrospective Overview, and Current Use Cases

Model-Augmented Haptic Telemanipulation: Concept, Retrospective Overview, and Current Use Cases

Issues in the Development of Conversation Dialog for Humanoid Nursing Partner Robots in Long-Term Care

What Sort of Robots Do We Want to Interact With? Reflecting on the Human Side of Human-Artificial Intelligence Interaction

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