scholarly journals LOVE END POBOTS. Will humanity become digisexual?

2019 ◽  
Vol 23 (3) ◽  
pp. 312-323
Author(s):  
F G Maylenova
Keyword(s):  
Sex Industry ◽  
Human Communication ◽  
Human Machine Interaction ◽  
New Era ◽  
Private Lives ◽  
Human Love ◽  
Smart Machines ◽  
The One ◽  
The Relationship ◽  
Machine Interaction

Mechanisms that help people in their lives have existed for centuries, and every year they become not only more and more complex and perfect, but also smarter. It is impossible to imagine modern production without smart machines, but today, with the advent of robotic android robots, their participation in our private lives and, consequently, their influence on us, becomes much more obvious. After all, the robots that are increasingly taking root in our lives today, are no longer perceived by us simply as mechanisms, we endow them with human properties of character and often experience different emotions in relation to them. The appearance of a robot capable of experiencing (or still imitating?) emotions can be considered a qualitatively new step in the life of a person with robots. With such robots, it will be possible to be friends with them, to look for (and probably get) support from them. It is expected that they will be able to brighten up the loneliness of a variety of people, including disabled people, lonely old people, to help in caring for the sick and at the same time entertain them with communication. Speaking about the relationship with robots, it is difficult not to mention such an important aspect of human communication as sex, which, on the one hand, is not only a need, as in all living beings, but also the highest form of human love and intimacy, and on the other - can exist and be satisfied completely separate from love. It is this duality of human nature that has contributed to the transformation of sex and the human body into a commodity and the development of prostitution, pornography and the use of sexual images in advertising. The emergence of android robots can radically change our lives, including the most intimate areas of life. The development of the artificial intelligence sex industry opens up a whole new era of human-machine interaction. When smart machines become not only comfortable and entertaining, but literally enter our flesh, become our interlocutors, friends and lovers who share our feelings and interests, what will be the consequences of this unprecedented intimacy between man and machine?

scholarly journals Bioinspired Implementation and Assessment of a Remote-Controlled Robot

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Yves Rybarczyk ◽  
Diogo Gil Carvalho
Keyword(s):  
Power Law ◽  
Electronic Devices ◽  
End User ◽  
Human Machine Interaction ◽  
Biological Condition ◽  
Advanced Analysis ◽  
Smart Machines ◽  
Time Required ◽  
Machine Interaction

Daily activities are characterized by an increasing interaction with smart machines that present a certain level of autonomy. However, the intelligence of such electronic devices is not always transparent for the end user. This study is aimed at assessing the quality of the remote control of a mobile robot whether the artefact exhibits a human-like behavior or not. The bioinspired behavior implemented in the robot is the well-described two-thirds power law. The performance of participants who teleoperate the semiautonomous vehicle implementing the biological law is compared to a manual and nonbiological mode of control. The results show that the time required to complete the path and the number of collisions with obstacles are significantly lower in the biological condition than in the two other conditions. Also, the highest percentage of occurrences of curvilinear or smooth trajectories are obtained when the steering is assisted by an integration of the power law in the robot’s way of working. This advanced analysis of the performance based on the naturalness of the movement kinematics provides a refined evaluation of the quality of the Human-Machine Interaction (HMI). This finding is consistent with the hypothesis of a relationship between the power law and jerk minimization. In addition, the outcome of this study supports the theory of a CNS origin of the power law. The discussion addresses the implications of the anthropocentric approach to enhance the HMI.

scholarly journals Activeness Improves Cognitive Performance in Human-Machine Interaction

2013 ◽  
Vol 17 (3) ◽  
pp. 425-432 ◽  
Author(s):  
Yusuke Tamura ◽  
◽  
Mami Egawa ◽  
Shiro Yano ◽  
Takaki Maeda ◽  
...  
Keyword(s):  
Reaction Time ◽  
Cognitive Performance ◽  
Search Task ◽  
Experimental Results ◽  
Human Machine Interaction ◽  
Target Search ◽  
Active Behavior ◽  
The Relationship ◽  
Machine Interaction

In human-machine interaction, automation brings both advantages and potentially unpredictable disadvantages to human cognitive performance. In this study, we hypothesized that active behavior improves cognitive performance in human-machine interaction, and verified this hypothesis through three experiments. Experiment 1 examined the relationship between activeness and reaction time in a target-search task. Experiments 2 and 3 analyzed the factors that improved cognitive performance. Experimental results demonstrated that activeness positively affects cognitive performance and suggested that predictability associated with activeness plays a key role in improving cognitive performance.

scholarly journals Psychoanalytic Reading of Love and Desire in Somerset Maugham’s Of Human Bondage

2017 ◽  
Vol 5 (1) ◽  
pp. 58
Author(s):  
Amin Ettehadi ◽  
Roohollah Reesi Sistani
Keyword(s):  
The Other ◽  
The Novel ◽  
Main Character ◽  
Human Love ◽  
Gradual Loss ◽  
The One ◽  
The Relationship

<p><em>The present study was a comprehensive psychoanalysis of the idea of love and desire in Somerset Maugham’s Of Human Bondage. The study explored the relationship Philip Carey, the main character, develops with Other people throughout the novel. To further enrich the analysis, Lacan’s theory of human love and desire was employed to provide a psychoanalytic examination of Philip Carey’s bond of love for Mildred, on the one hand, and his gradual loss of identity in his desire towards her, on the other. The study inspected the nature of Philip’s desire for Mildred and shows how he turnd to a desiring subject in his bond to her and finally reached a state of selflessness and depended heavily on Mildred as the object of his desire which drove him towards self-contempt and a masochistic denial of real facts in his life.</em></p>

Emulating Subjective Criteria in Corpus Validation

2011 ◽  
pp. 541-546
Author(s):  
Ignasi Iriondo ◽  
Santiago Planet ◽  
Francesc Alías ◽  
Joan-Claudi Socoró ◽  
Elisa Martínez
Keyword(s):  
Speech Synthesis ◽  
Emotional States ◽  
Emotional Speech ◽  
Human Machine Interaction ◽  
Computer Interfaces ◽  
Multimodal Systems ◽  
Specific Emotion ◽  
The One ◽  
Machine Communication ◽  
Machine Interaction

The use of speech in human-machine interaction is increasing as the computer interfaces are becoming more complex but also more useable. These interfaces make use of the information obtained from the user through the analysis of different modalities and show a specific answer by means of different media. The origin of the multimodal systems can be found in its precursor, the “Put-That-There” system (Bolt, 1980), an application operated by speech and gesture recognition. The use of speech as one of these modalities to get orders from users and to provide some oral information makes the human-machine communication more natural. There is a growing number of applications that use speech-to-text conversion and animated characters with speech synthesis. One way to improve the naturalness of these interfaces is the incorporation of the recognition of user’s emotional states (Campbell, 2000). This point generally requires the creation of speech databases showing authentic emotional content allowing robust analysis. Cowie, Douglas-Cowie & Cox (2005) present some databases showing an increase in multimodal databases, and Ververidis & Kotropoulos (2006) describe 64 databases and their application. When creating this kind of databases the main arising problem is the naturalness of the locutions, which directly depends on the method used in the recordings, assuming that they must be controlled without interfering the authenticity of the locutions. Campbell (2000) and Schröder (2004) propose four different sources for obtaining emotional speech, ordered from less control but more authenticity to more control but less authenticity: i) natural occurrences, ii) provocation of authentic emotions in laboratory conditions, iii) stimulated emotions by means of prepared texts, and iv) acted speech reading the same texts with different emotional states, usually performed by actors. On the one hand, corpora designed to synthesize emotional speech are based on studies centred on the listener, following the distinction made by Schröder (2004), because they model the speech parameters in order to transmit a specific emotion. On the other hand, emotion recognition implies studies centred on the speaker, because they are related to the speaker emotional state and the parameters of the speech. The validation of a corpus used for synthesis involves both kinds of studies: the former since it will be used for synthesis and the latter since recognition is needed to evaluate its content. The best validation system is the selection of the valid utterances1 of the corpus by human listeners. However, the big size of a corpus makes this process unaffordable.

scholarly journals Internet research ethics

2012 ◽  
Author(s):  
Charles M. Ess
Keyword(s):  
Research Ethics ◽  
Ethical Decision Making ◽  
Ethical Problem ◽  
Internet Research ◽  
Human Machine Interaction ◽  
The Face ◽  
History Of ◽  
The One ◽  
Machine Interaction ◽  
Internet Research Ethics

This article discusses Internet research ethics, which promises to become an ever-more robust and significant field within information ethics, on the one hand, and research ethics more broadly, on the other. As new venues emerge for human–human and human–machine interaction, it seems certain that new ethical conundrums will emerge. But the overall history of Internet research ethics includes at least some convergence on key values and rights, while at the same time preserving important local differences with regard to approaches to ethical decision making and implementation of basic rights and principles – even across East–West divides. This trajectory suggests not the certainty of finding resolutions to every ethical problem that comes along, but rather the sense of finding such resolutions in the face of new difficulties, with sufficient frequency and success to encourage further efforts to do so.

Analysis of computer teaching pattern based on outlier data mining and machine learning

2020 ◽  
pp. 1-11
Author(s):  
Li Huafeng
Keyword(s):  
Data Mining ◽  
Teaching Quality ◽  
Teaching Mode ◽  
New Era ◽  
Correlation Models ◽  
Teaching Pattern ◽  
Computer Teaching ◽  
The One ◽  
The Relationship

Under the background of the development of the new era, with the arrival of the big data era and the development of computer technology, people are more and more inclined to use data to analyze all kinds of problems encountered in teaching. Different educational data models are constructed through data analysis. By statistics of different educational data and analysis using correlation models, the relationship between different variables and the intensity of interaction in these activities can be determined. Using computer to complete some teaching tasks and construct a certain teaching mode can improve the efficiency of teachers’ teaching and students’ learning to a certain extent. In the process of discussing the use of computer in classroom teaching, we should analyze how to use computer to carry out new forms of teaching activities and how to evaluate the teaching quality of computer teaching. On the one hand, this paper summarizes the current situation of the development of digital teaching mode in colleges and universities in China; on the other hand, it analyzes the research results of computer teaching by professionals in the new era; Finally, the knowledge of data mining is expounded.

scholarly journals Beyond Robotic Speech: Mutual Benefits to Cognitive Psychology and Artificial Intelligence from the Study of Multimodal Communication

2021 ◽  
pp. 274-294
Author(s):  
Beata Grzyb ◽  
Gabriella Vigliocco
Keyword(s):  
Language Learning ◽  
Language Processing ◽  
Computational Models ◽  
Human Communication ◽  
Embodied Agents ◽  
Human Machine Interaction ◽  
Human Likeness ◽  
Neural Underpinnings ◽  
Underlying Mechanisms ◽  
Machine Interaction

Recently, cognitive scientists have started to realise the potential importance of multimodality for the understanding of human communication and its neural underpinnings; while AI scientists have begun to address how to integrate multimodality in order to improve communication between human and embodied agent. We review here the existing literature on multimodal language learning and processing in humans and the literature on perception of embodied agents, their comprehension and production of multimodal cues and we discuss their main limitations. We conclude by arguing that by joining forces AI scientists can improve the effectiveness of human-machine interaction and increase the human-likeness and acceptance of embodied agents in society. In turn, computational models that generate language in artificial embodied agents constitute a unique research tool to investigate the underlying mechanisms that govern language processing and learning in humans.

scholarly journals Emotion Recognition using Fuzzy K-Means from Oriya Speech

2011 ◽  
pp. 24-28
Author(s):  
Sanghamitra Mohanty ◽  
Basanta Kumar Swain
Keyword(s):  
Emotion Recognition ◽  
Vocal Communication ◽  
Call Centers ◽  
Research Work ◽  
Research Paper ◽  
Human Communication ◽  
Human Machine Interaction ◽  
Tutoring Systems ◽  
Feature Vectors ◽  
Machine Interaction

Communication will be intelligible when conveyed message is interpreted in right-minded. Unfortunately, the rightminded interpretation of communicated message is possible for human-human communication but it’s laborious for humanmachine communication. It is due to the inherently blending of non-verbal contents such as emotion in vocal communication which leads to difficulty in human-machine interaction. In this research paper we have performed experiment to recognize emotions like anger, sadness, astonish, fear, happiness and neutral using fuzzy K-Means algorithm from Oriya elicited speech collected from 35 Oriya speaking people aged between 22- 58 years belonging to different provinces of Orissa. We have achieved the accuracy of 65.16% in recognizing above six mentioned emotions by incorporating mean pitch, first two formants, jitter, shimmer and energy as feature vectors for this research work. Emotion recognition has many vivid applications in different domains like call centers, spoken tutoring systems, spoken dialogue research, human-robotic interfaces etc.

Theremin in the Press: Instrument remediation and code-instrument transduction

2018 ◽  
Vol 23 (3) ◽  
pp. 256-269
Author(s):  
Jaime E. Oliver La Rosa
Keyword(s):  
New Media ◽  
Musical Instrument ◽  
Musical Instruments ◽  
Media Theory ◽  
Human Machine Interaction ◽  
Cultural Life ◽  
The Press ◽  
History Of ◽  
The One ◽  
Machine Interaction

This article shows how the theremin as a new musical medium enacted a double logic throughout its century-old techno-cultural life. On the one hand, in an attempt to be a ‘better’ instrument, the theremin imitated or remediated traditional musical instruments and in this way affirmed the musical values these instruments materialised; simultaneously, by being a new and different medium, with unprecedented flexibility for designing sound and human–machine interaction, it eroded and challenged these same values and gradually enacted change. On the other hand, the theremin inadvertently inaugurated a practice of musical instrument circulation using electronics schematics that allowed for the instrument’s reproduction, starting with the publication of schematics and tutorials in amateur electronics magazines and which can be seen as a predecessor to today’s circulation of open source code. This circulation practice, which I call instrument-code transduction, emerged from and was amplified by the fame the theremin obtained using its touchless interface to imitate or remediate traditional musical instruments, and in turn, this circulation practice has kept the instrument alive throughout the decades. Thus remediation and code-instrument transduction are not just mutually dependent, but are in fact, two interdependent processes of the same media phenomenon. Drawing from early reactions to the theremin documented in the press, from new media theory, and from publications in amateur electronics, this article attempts to use episodes from the history of the theremin to understand the early and profound changes that electric technologies brought to the concept of musical instruments at large.

scholarly journals Recognition of a Face in a Mixed Document

2015 ◽  
Vol 15 (2) ◽  
pp. 301
Author(s):  
Lhoussaine Bouhou ◽  
Rachid El Ayachi ◽  
Mohamed Fakir ◽  
Mohamed Oukessou
Keyword(s):  
Face Recognition ◽  
Input Image ◽  
Human Face ◽  
K Nearest Neighbors ◽  
Human Machine Interaction ◽  
The Third ◽  
The Face ◽  
The One ◽  
Classification Tool ◽  
Machine Interaction

Face recognition is the field of great interest in the domaine of research for several applications such as biometry identification, surveillance, and human-machine interaction…This paper exposes a system of face recognition. This system exploits an image document text embedding a color human face image. Initially, the system, in its phase of extraction, exploitis the horizontal and vertical histogram of the document, detects the image which contains the human face. The second task of the system consists of detecting the included face in other to determine, with the help of invariants moments, the characteristics of the face. The third and last task of the system is to determine, via the same invariants moments, the characteristics of each face stored in a database in order to compare them by means of a classification tool (Neural Networks and K nearest neighbors) with the one determined in the second task for the purpose of taking the decision of identification in that database, of the most similar face to the one detected in the input image.

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