A Modular Structured Architecture Using Smart Devices for Socially-Embedded Robot Partners

2020 ◽  
pp. 288-309 ◽  
Author(s):  
Jinseok Woo ◽  
Naoyuki Kubota
Keyword(s):  
Cognitive Model ◽  
Human Robot Interaction ◽  
Human Interaction ◽  
Human Cognition ◽  
Smart Devices ◽  
Human Communication ◽  
Human Quality ◽  
And Behavior

Recently, robot architectures with various structures have been developed to improve the human quality of life. Such a robot needs various capabilities such as learning, inference, and prediction for human interaction, and such capabilities are interconnected with each other as a whole system. In the development of a socially-embedded robot partner, human-robot interaction plays an important role. Therefore, in order to develop a socially embedded robot partner, we must consider human communication system. Human Cognition, Emotion, and Behavior should be considered in the development process of the robot partner, and if these factors are fully reflected in the robot partner, then the robot can be used as a socially-friendly robot partner. This book chapter is organized as follows: First, we describe the hardware and software structures. Next, we discuss the cognitive model of the robot partners. Third, we discuss interaction content design for various services. Finally, we discuss the contents of society implementation, and discuss the applicability of robots for social utilization.

scholarly journals Robot Partner Development Platform for Human-Robot Interaction Based on a User-Centered Design Approach

2020 ◽  
Vol 10 (22) ◽  
pp. 7992
Author(s):  
Jinseok Woo ◽  
Yasuhiro Ohyama ◽  
Naoyuki Kubota
Keyword(s):  
System Integration ◽  
Industrial Sector ◽  
Human Robot Interaction ◽  
Service Robots ◽  
Smart Devices ◽  
Smart Device ◽  
User Centered Design ◽  
Human Communication ◽  
Robot Interaction ◽  
Development Platform

This paper presents a robot partner development platform based on smart devices. Humans communicate with others based on the basic motivations of human cooperation and have communicative motives based on social attributes. Understanding and applying these communicative motives become important in the development of socially-embedded robot partners. Therefore, it is becoming more important to develop robots that can be applied according to needs while taking these human communication elements into consideration. The role of a robot partner is more important in not only on the industrial sector but also in households. However, it seems that it will take time to disseminate robots. In the field of service robots, the development of robots according to various needs is important and the system integration of hardware and software becomes crucial. Therefore, in this paper, we propose a robot partner development platform for human-robot interaction. Firstly, we propose a modularized architecture of robot partners using a smart device to realize a flexible update based on the re-usability of hardware and software modules. In addition, we show examples of implementing a robot system using the proposed architecture. Next, we focus on the development of various robots using the modular robot partner system. Finally, we discuss the effectiveness of the proposed robot partner system through social implementation and experiments.

scholarly journals Towards an Engagement-Aware Attentive Artificial Listener for Multi-Party Interactions

2021 ◽  
Vol 8 ◽  
Author(s):  
Catharine Oertel ◽  
Patrik Jonell ◽  
Dimosthenis Kontogiorgos ◽  
Kenneth Funes Mora ◽  
Jean-Marc Odobez ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Human Interaction ◽  
Third Party ◽  
Nonverbal Cues ◽  
Substantial Part ◽  
Human Communication ◽  
Listener Behavior ◽  
Work Settings ◽  
Gaze Patterns ◽  
Listening Behavior

Listening to one another is essential to human-human interaction. In fact, we humans spend a substantial part of our day listening to other people, in private as well as in work settings. Attentive listening serves the function to gather information for oneself, but at the same time, it also signals to the speaker that he/she is being heard. To deduce whether our interlocutor is listening to us, we are relying on reading his/her nonverbal cues, very much like how we also use non-verbal cues to signal our attention. Such signaling becomes more complex when we move from dyadic to multi-party interactions. Understanding how humans use nonverbal cues in a multi-party listening context not only increases our understanding of human-human communication but also aids the development of successful human-robot interactions. This paper aims to bring together previous analyses of listener behavior analyses in human-human multi-party interaction and provide novel insights into gaze patterns between the listeners in particular. We are investigating whether the gaze patterns and feedback behavior, as observed in the human-human dialogue, are also beneficial for the perception of a robot in multi-party human-robot interaction. To answer this question, we are implementing an attentive listening system that generates multi-modal listening behavior based on our human-human analysis. We are comparing our system to a baseline system that does not differentiate between different listener types in its behavior generation. We are evaluating it in terms of the participant’s perception of the robot, his behavior as well as the perception of third-party observers.

Research on Human Cognition for Biologically Inspired Developments

2017 ◽  
pp. 83-116 ◽  
Author(s):  
Marko Wehle ◽  
Alexandra Weidemann ◽  
Ivo Wilhelm Boblan
Keyword(s):  
Role Model ◽  
Cognitive Model ◽  
Human Robot Interaction ◽  
Human Cognition ◽  
Biologically Inspired ◽  
Robot Interaction ◽  
Intelligent Machines ◽  
The World ◽  
Conducting Research ◽  
Interaction Research

Robotic developments are seen as a next level in technology with intelligent machines, which automate tedious tasks and serve our needs without complaints. But nevertheless, they have to be fair and smart enough to be intuitively of use and safe to handle. But how to implement this kind of intelligence, does it need feelings and emotions, should robots perceive the world as we do as a human role model, how far should the implementation of synthetic consciousness lead and actually, what is needed for consciousness in that context? Additionally in Human-Robot-Interaction research, science mainly makes use of the tool phenomenography, which is exclusively subjective, so how to make it qualify for Artificial Intelligence? These are the heading aspects of this chapter for conducting research in the field of social robotics and suggesting a conscious and cognitive model for smart and intuitive interacting robots, guided by biomimetics.

The Humanity of Humanless Systems

2019 ◽  
Vol 28 (3) ◽  
pp. 4-6 ◽  
Author(s):  
Peter A. Hancock
Keyword(s):  
Quality Of Life ◽  
Cycle Time ◽  
Information Exchange ◽  
Autonomous Systems ◽  
Human Interaction ◽  
Machine Cycle ◽  
Collaborative Interaction ◽  
Human Quality ◽  
Information Interchange

This work considers the future of human interaction with progressively more autonomous systems. I argue that the temporal dissonance between the human’s ‘cycle time’ and machine ‘cycle time,’ will become an overwhelming barrier to collaborative interaction. We may slow machines, we may buffer information exchange, we may default to meta-levels of strategic interchange but in the end all transparency of information interchange will dissolve under the driving influence of time. HF/E is thus already fighting rear-guard action. The question remains as to the sustenance of human quality of life in this evolving milieu.

scholarly journals Ultradian rhythmicity of plasma cortisol is necessary for normal emotional and cognitive responses in man

2018 ◽  
Vol 115 (17) ◽  
pp. E4091-E4100 ◽  
Author(s):  
K. Kalafatakis ◽  
G. M. Russell ◽  
C. J. Harmer ◽  
M. R. Munafo ◽  
N. Marchant ◽  
...  
Keyword(s):  
Replacement Therapy ◽  
Memory Performance ◽  
Synaptic Activity ◽  
Human Cognition ◽  
Cognitive Responses ◽  
Hormone Pulses ◽  
And Behavior ◽  
Ultradian Rhythmicity ◽  
The Brain

Glucocorticoids (GCs) are secreted in an ultradian, pulsatile pattern that emerges from delays in the feedforward-feedback interaction between the anterior pituitary and adrenal glands. Dynamic oscillations of GCs are critical for normal cognitive and metabolic function in the rat and have been shown to modulate the pattern of GC-sensitive gene expression, modify synaptic activity, and maintain stress responsiveness. In man, current cortisol replacement therapy does not reproduce physiological hormone pulses and is associated with psychopathological symptoms, especially apathy and attenuated motivation in engaging with daily activities. In this work, we tested the hypothesis that the pattern of GC dynamics in the brain is of crucial importance for regulating cognitive and behavioral processes. We provide evidence that exactly the same dose of cortisol administered in different patterns alters the neural processing underlying the response to emotional stimulation, the accuracy in recognition and attentional bias toward/away from emotional faces, the quality of sleep, and the working memory performance of healthy male volunteers. These data indicate that the pattern of the GC rhythm differentially impacts human cognition and behavior under physiological, nonstressful conditions and has major implications for the improvement of cortisol replacement therapy.

Research on Human Cognition for Biologically Inspired Developments

2020 ◽  
pp. 1507-1532
Author(s):  
Marko Wehle ◽  
Alexandra Weidemann ◽  
Ivo Wilhelm Boblan
Keyword(s):  
Role Model ◽  
Cognitive Model ◽  
Human Robot Interaction ◽  
Human Cognition ◽  
Biologically Inspired ◽  
Robot Interaction ◽  
Intelligent Machines ◽  
The World ◽  
Conducting Research ◽  
Interaction Research

Robotic developments are seen as a next level in technology with intelligent machines, which automate tedious tasks and serve our needs without complaints. But nevertheless, they have to be fair and smart enough to be intuitively of use and safe to handle. But how to implement this kind of intelligence, does it need feelings and emotions, should robots perceive the world as we do as a human role model, how far should the implementation of synthetic consciousness lead and actually, what is needed for consciousness in that context? Additionally in Human-Robot-Interaction research, science mainly makes use of the tool phenomenography, which is exclusively subjective, so how to make it qualify for Artificial Intelligence? These are the heading aspects of this chapter for conducting research in the field of social robotics and suggesting a conscious and cognitive model for smart and intuitive interacting robots, guided by biomimetics.

scholarly journals Allocentric Emotional Affordances in HRI: The Multimodal Binding

2018 ◽  
Vol 2 (4) ◽  
pp. 78 ◽  
Author(s):  
Jordi Vallverdú ◽  
Gabriele Trovato ◽  
Lorenzo Jamone
Keyword(s):  
Human Robot Interaction ◽  
Human Cognition ◽  
Robot Interaction ◽  
Numerical Examples ◽  
Human Emotion ◽  
Proposed Model ◽  
Arousal Model ◽  
Multimodal Perception ◽  
Viable Model

The concept of affordance perception is one of the distinctive traits of human cognition; and its application to robots can dramatically improve the quality of human-robot interaction (HRI). In this paper we explore and discuss the idea of “emotional affordances” by proposing a viable model for implementation into HRI; which considers allocentric and multimodal perception. We consider “2-ways” affordances: perceived object triggering an emotion; and perceived human emotion expression triggering an action. In order to make the implementation generic; the proposed model includes a library that can be customised depending on the specific robot and application scenario. We present the AAA (Affordance-Appraisal-Arousal) model; which incorporates Plutchik’s Wheel of Emotions; and we outline some numerical examples of how it can be used in different scenarios.

Management of Economics and State "Bottom"

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Probabilistic Models ◽  
Human Life ◽  
Special Software ◽  
Human Quality ◽  
Relationship Of ◽  
The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

Korelasi kreativitas dan motivasi kerja guru terhadap peningkatan mutu pembelajaran

2016 ◽  
Vol 1 (1) ◽  
pp. 51
Author(s):  
Muh Nashiruddin ◽  
Anharurrohman El Muhammadi
Keyword(s):  
Religious Education ◽  
Work Motivation ◽  
Sampling Technique ◽  
Islamic Education ◽  
Learning Improvement ◽  
Average Value ◽  
Teacher Creativity ◽  
Teacher Work ◽  
And Behavior

Penelitian ini bertujuan untuk mengetahui korelasi antara: 1) kreativitas guru PAI terhadap peningkatan mutu pembelajaran Pendidikan Agama dan Budi Pekerti , 2) motivasi kerja guru PAI terhadap peningkatan mutu pembelajaran Pendidikan Agama dan Budi Pekerti , dan 3) kreativitas dan motivasi kerja guru terhadap peningkatan mutu pembelajaran Pendidikan Agama dan Budi. Penelitian ini menggunakan metode deskripsi korelasional dengan melibatkan 33 orang sampel yang dipilih secara dengan metode sensus. Teknik pengumpulan data dilakukan dengan angket/kuesioner. Teknikanalisis data diawali dengan uji prasyarat yaitu uji normalitas dan linieritas. Uji hipotesis menggunakanuji regresi sederhana danuji regresi ganda. Hasil penelitian menunjukkan ; 1) Kreativitas guru berpengaruh terhadap peningkatan mutu pembelajaran Pendidikan Agama Islam dan Budi Pekerti. 2) motivasi kerja guru berpengaruh terhadap peningkatan mutu pembelajaran Pendidikan Agama Islam dan Budi Pekerti. 3) kreativitas guru dan motivasi kerja guru secara bersama-sama atau simultan berpengaruh terhadap mutu pembelajaran. Hasil analisis juga menunjukkan bahwa rata-rata nilai dari ketiga variabel tersebut hanya dapat dimasukkan dalam kategori sedang, sehingga untuk meningkatkan kinerja guru dalam mengajar perlu diperhatikan faktor-faktor lain seperti: gaji, jaminan kerja, jaminan hari tua, penghargaan atas prestasi kerja, dan sebagainya. Kata kunci: kreativitas, motivasi, mutupembelajaran Abstract [The Relationship Between Teachers’ Creativity and Motivation Toward Learning Improvement]. This research aim at determine the correlation between the creativity of teachers on the improvement of learning quality of religious education and behavior, the work motivation of teachers on the improvement of learning quality of religious education and behavior, and the creativity and the work motivation of eachers on the improvement of learning quality of religious education and behavior. This research employed a method of correlation description with 33 Islamic education teacher were selected as sample by means of census sampling. Technique of collecting data employed questionnaire. Technique of data analysis began with prerequisite of normality and linearity. Hypothesis used test of simple regression and double regression.The study revealed that teacher creativity affects on the improvement of learning quality of religious education and behavior, as well as teacher work motivation affects on the improvement of learning quality of religious education and behavior. Futhermore, analysis show that teacher creativity as well as teacher work motivation affects simultaneously on the learning quality of Islamic Education. In conclusion, the average value of those three variables may be only included into medium category. Thus, to increase teacher performance, it needs other factors, such as; salary, job guarantee, pension, appreciation of work achievement, etc. Keywords: Creativity, Motivation, Learning Quality

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