Multimodal Context‐Sensitive Human Communication Interaction System Using Artificial Intelligence‐Based Human‐Centered Computing

2021 ◽  
pp. 137-161
Author(s):  
S. Murugan ◽  
R. Manikandan ◽  
Ambeshwar Kumar
2020 ◽  
Vol 5 (21) ◽  
pp. 240-247
Author(s):  
Ahmad Shamsul Abd Aziz ◽  
Nor Azlina Mohd Noor ◽  
Khadijah Mohamed

Coronavirus 2019 (COVID 19) was first reported in Wuhan, China in December 2019. The rapidly spreading coronavirus outbreak around the world had forced the World Health Organization (WHO) to declare COVID 19 as a pandemic on March 11, 2020. Crisis management for COVID 19 requires an integrated and realistic approach, and a focus on technology can assist matters to become more efficient. Although IR 4.0 technology is widely used in dealing with pandemic crises, the relevant laws relating to intellectual property laws, especially copyrights and patents with this technology must continue to be protected. This article discusses IR 4.0 technologies such as artificial intelligence (AI) and blockchain as applied in the era of pandemics and intellectual property protection associated with this technology. For this purpose, this article applies library research methodology by analyzing primary and secondary sources. This article concludes that IR 4.0 technology such as artificial intelligence and blockchain is seen as jewels in the era of pandemics because as with the use of this technology, human communication can be reduced. In addition, this technology can also reduce dependence on manpower. Improvements to intellectual property laws can be done in providing more protection against this IR 4.0 technology.


2020 ◽  
Author(s):  
Beata Grzyb ◽  
Gabriella Vigliocco

Language has predominately been studied as a unimodal phenomenon - as speech or text without much consideration of its physical and social context – this is true both in cognitive psychology/psycholinguistics as well as in artificial intelligence. However, in everyday life, language is most often used in face-to-face communication and in addition to structured speech it comprises a dynamic system of multiplex components such as gestures, eye gaze, mouth movements and prosodic modulation. 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 artificial embodied agent. We review here the existing literature on multimodal language learning and processing in humans and the literature on perception of artificial 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.


Author(s):  
Volodymyr Vladymyrov

The article discusses the prospects for the development of the mass communication science in the direction of including in its discourse the modern achievements in the field of the relation between quantum physics and consciousness as well as the artificial intelligence. It will give the media new opportunities to influence mass consciousness, and to impact social processes.It allows to forecast the rise of the next, the fourth stage of the information revolution and to recognize the ways for preparation to it. Quantum physics appears as classical physics develops in the study of the world. Scientists explain quantumness as the relations of everything with everything. Quantumism and consciousness are an already mastered topics of modern science. If we talk about mass consciousness, it should be recognized as a scholar problem and the existence of quantumness as an underlying phenomenon in mass communication. Perhaps this will be the content of the new, fourth stage of the information revolution – after its computer, Internet and mobile stages. Therefore, the urgency of the problem we are addressing is the need to “let in” quantum methods into the thinking, creation and dissemination of the mass-information product in the mass audience. Theorists of our scientific discipline are interested in precisely the new knowledge of quantum “confusion” in the depths of mass consciousness, which exists and manifests itself in the processes of mass communication. Then the quantum approach can be extremely fruitful here. Quantumism here appears both as a universal connection of everything with everything, and as the unpredictability of the nature of these connections from the point of view of ordinary and even dialectical logic. Here, the quantum logic of mass communication should be discovered. It should be noted that so far almost no one has noticed that media interference in the natural mental life of large human communities gives rise to a phenomenon similar to quantum “confusion”, when a change in the state of one “mass” thoughts occurs along with a change in the state of another. Quantum “confusion” is what permeates all the “matter” of human communication / existence. All participants in mass communication are “confused” with themselves, like photons in physics. And they’re not just confused, everybody is one and the part of whole in the external, “physical”, existing, and is the part of the ideal world, with its thoughts, hopes, emotions, “confused” in the Internet The introduction of quantumness as the leading principle of influence on mass consciousness is one of the three steps to a new stage in the information revolution. The second is the growing potential of artificial intelligence. The third is the gradual creation of quantum computers. All these together will make it possible to reach each recipient of information, to enter the inner, ideal world of an individual person, and even to see in this communication an intrapersonal discussion of a person with himself – and to control its course. Probably, the result will be the opportunity to learn to predict the unpredictable in behavior of “this” person in his behavior – in personal, group, intergroup, mass ones.


2021 ◽  
Vol 30 (3) ◽  
pp. 455-458
Author(s):  
Daniel W. Tigard

AbstractWhat exactly is it that makes one morally responsible? Is it a set of facts which can be objectively discerned, or is it something more subjective, a reaction to the agent or context-sensitive interaction? This debate gets raised anew when we encounter newfound examples of potentially marginal agency. Accordingly, the emergence of artificial intelligence (AI) and the idea of “novel beings” represent exciting opportunities to revisit inquiries into the nature of moral responsibility. This paper expands upon my article “Artificial Moral Responsibility: How We Can and Cannot Hold Machines Responsible” and clarifies my reliance upon two competing views of responsibility. Although AI and novel beings are not close enough to us in kind to be considered candidates for the same sorts of responsibility we ascribe to our fellow human beings, contemporary theories show us the priority and adaptability of our moral attitudes and practices. This allows us to take seriously the social ontology of relationships that tie us together. In other words, moral responsibility is to be found primarily in the natural moral community, even if we admit that those communities now contain artificial agents.


Author(s):  
Dr. M. Durai Pandian

The rapid growth in the population and the changes endured in the lifestyle of the people increases the demand for the healthcare segments that does a continuous monitoring of the heath. The artificial intelligence that has been engaged in the numerous of real-life applications, has caused a greater impact in the very basic facet of the human life such as the communication, interaction, education, driving, entertainment and has been limited to the heath monitoring. For decades it is the artificial intelligence is been utilized in the health care for the analysis and the diagnosis of the disease, for assisting the surgical methodologies etc. has also been utilized in the improving the health of the person by monitoring the quality of the sleep they have. The paper puts forth a sleep pattern analysis using the artificial intelligence and the therapy based on the music for improving the sleeping time and reducing the stress according to the quality of the sleep evaluated.


2020 ◽  
Vol 1 (1) ◽  
pp. 32-39
Author(s):  
Khaled Aladayleh

This paper investigates the relationship between artificial intelligence (AI), and digital marketing in the Jordanian banking sector. It outlines the main implications of information gathering, data modelling, and processing & delivery, as well, the importance of human communication and ethical implications. Banks need a coherent foundation when employing AI. This paper provides a theoretical background for AI developers, policymakers and marketers in the banking sector, and academics. Despite the extensive employment of artificial intelligence in numerous global and local businesses, few studies addressed the use of AI in the Jordanian banking sector. As well, AI has rapidly changed digital marketing practices, particularly in the light of the Coronavirus (COVID_19) pandemic. Banks in Jordan are oblivious to the challenges they face when integrating AI into their digital marketing services. This paper derives a general framework for integrating AI techniques into digital marketing practices in Jordanian banks. Recommendations designed to assist banks in targeting their clients more efficiently also presented in this paper.  


2020 ◽  
Vol 8 (1) ◽  
pp. 43-52
Author(s):  
Alim Al Ayub Ahmed ◽  
ABM Asadullah

Waste management is one of the biggest problems facing the world in any developed or developing country. An important aspect of waste management is that the waste bin in the open space is properly filled before the next cleaning process begins. This can eventually lead to various hazards such as dirt and bad odor in the area, which can lead to the spread of various diseases. Population growth has significantly reduced toilets through the waste management system. Laying garbage in public places creates a polluted environment. To eliminate or reduce waste and maintain good hygiene, it requires a waste-based waste management system. The need for proper waste management is not limited to proper collection and disposal of waste. It continues to be a waste disposal and recyclable level. Recycling is considered a major benefit because in addition to waste disposal, our reliance on immature materials is declining. By recycling metal, plastic and glass, the use of decomposing waste can extend beyond compost and manure. Metals can be reused and plastic can be mixed with clay filler, which can lead to soil compaction. After deep cleaning the glass construction material can be broken down and re-melted into new articles. This article is about machine learning and the use of artificial intelligence in the most viable areas and understanding the full need for human communication.


Author(s):  
Peixiang Zhong ◽  
Di Wang ◽  
Chunyan Miao

Affect conveys important implicit information in human communication. Having the capability to correctly express affect during human-machine conversations is one of the major milestones in artificial intelligence. In recent years, extensive research on open-domain neural conversational models has been conducted. However, embedding affect into such models is still under explored. In this paper, we propose an endto-end affect-rich open-domain neural conversational model that produces responses not only appropriate in syntax and semantics, but also with rich affect. Our model extends the Seq2Seq model and adopts VAD (Valence, Arousal and Dominance) affective notations to embed each word with affects. In addition, our model considers the effect of negators and intensifiers via a novel affective attention mechanism, which biases attention towards affect-rich words in input sentences. Lastly, we train our model with an affect-incorporated objective function to encourage the generation of affect-rich words in the output responses. Evaluations based on both perplexity and human evaluations show that our model outperforms the state-of-the-art baseline model of comparable size in producing natural and affect-rich responses.


2019 ◽  
Vol 22 (1) ◽  
pp. 70-86 ◽  
Author(s):  
Andrea L Guzman ◽  
Seth C Lewis

Artificial intelligence (AI) and people’s interactions with it—through virtual agents, socialbots, and language-generation software—do not fit neatly into paradigms of communication theory that have long focused on human–human communication. To address this disconnect between communication theory and emerging technology, this article provides a starting point for articulating the differences between communicative AI and previous technologies and introduces a theoretical basis for navigating these conditions in the form of scholarship within human–machine communication (HMC). Drawing on an HMC framework, we outline a research agenda built around three key aspects of communicative AI technologies: (1) the functional dimensions through which people make sense of these devices and applications as communicators, (2) the relational dynamics through which people associate with these technologies and, in turn, relate to themselves and others, and (3) the metaphysical implications called up by blurring ontological boundaries surrounding what constitutes human, machine, and communication.


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