A Conversational Dialogue Manager for the Humanoid Robot ERICA

Milhorat, Pierrick; Lala, Divesh; Inoue, Koji; Zhao, Tianyu; Ishida, Masanari; Takanashi, Katsuya; Nakamura, Satoshi; Kawahara, Tatsuya

doi:10.1007/978-3-319-92108-2_14

Cited by 24 publications

(12 citation statements)

References 16 publications

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“…It creates a randomness in conversation and adjusts the answer to the user mental model. Another example is the conversational model of ERICA the robot (Milhorat et al 2019), which analyzes the focused words of users' utterances and constructs the response based on the focused words. As a result, it provides answers with improved accuracy than traditional methods.…”

Section: Communication and Conversationmentioning

confidence: 99%

Manifestation of virtual assistants and robots into daily life: vision and challenges

Rawassizadeh

Sen

Kim

et al. 2019

CCF Trans. Pervasive Comp. Interact.

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Similar to how the smartphone and Internet have significantly changed our daily lives, artificial intelligence (AI) applications have started to profoundly affect our everyday lives as well. Two major products of this relatively recent trend are virtual assistants and home robots. They have similar functional characteristics: both interact with users through conversational agents and attempt to imitate human behavior. Home robots host a virtual assistant and have mechanical capabilities as well. There are many discussions about risks, challenges and the future vision associated with the proliferation of AI at the industrial level. These discussions, however, have not yet widely extended to the user level within the context of daily lives. In this article, we provide a review to discuss the benefits, risks, challenges, open questions and the future vision of using virtual assistants and social robots in daily lives.

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Section: Communication and Conversationmentioning

confidence: 99%

Manifestation of virtual assistants and robots into daily life: vision and challenges

Rawassizadeh

Sen

Kim

et al. 2019

CCF Trans. Pervasive Comp. Interact.

View full text Add to dashboard Cite

show abstract

“…Research is being conducted on robot capabilities assessing human emotions not only from the movements of the eyes and mouth, but also from the movements of human facial muscles and upper body [17]. For the response ability of humanoid robots, it is at the stage wherein creation appropriations of response sentences are evidenced, including the examination of the response vocalization intervals without discomfort, and the implementations with robot verifications and improvement [18][19][20][21].…”

Section: Required Conversation Functions For Humanoid Nursing Partner Robotsmentioning

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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“…Recently, Milhorat et al presented a dialogue manager for the android Erica [ 20 ]. This system consists of several modules that provide mixed-initiative dialogue based on information provided by the user and events detected by the robot’s sensors.…”

Section: Related Workmentioning

confidence: 99%

Modelling Multimodal Dialogues for Social Robots Using Communicative Acts

Fernández-Rodicio

Castro‐González

Alonso-Martín

et al. 2020

Sensors

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Social Robots need to communicate in a way that feels natural to humans if they are to effectively bond with the users and provide an engaging interaction. Inline with this natural, effective communication, robots need to perceive and manage multimodal information, both as input and output, and respond accordingly. Consequently, dialogue design is a key factor in creating an engaging multimodal interaction. These dialogues need to be flexible enough to adapt to unforeseen circumstances that arise during the conversation but should also be easy to create, so the development of new applications gets simpler. In this work, we present our approach to dialogue modelling based on basic atomic interaction units called Communicative Acts. They manage basic interactions considering who has the initiative (the robot or the user), and what is his/her intention. The two possible intentions are either ask for information or give information. In addition, because we focus on one-to-one interactions, the initiative can only be taken by the robot or the user. Communicative Acts can be parametrised and combined in a hierarchical manner to fulfil the needs of the robot’s applications, and they have been equipped with built-in functionalities that are in charge of low-level communication tasks. These tasks include communication error handling, turn-taking or user disengagement. This system has been integrated in Mini, a social robot that has been created to assist older adults with cognitive impairment. In a case of use, we demonstrate the operation of our system as well as its performance in real human–robot interactions.

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A Conversational Dialogue Manager for the Humanoid Robot ERICA

Cited by 24 publications

References 16 publications

Manifestation of virtual assistants and robots into daily life: vision and challenges

Manifestation of virtual assistants and robots into daily life: vision and challenges

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

Modelling Multimodal Dialogues for Social Robots Using Communicative Acts

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