scholarly journals Evaluation of Emotional Satisfaction Using Questionnaires in Voice-Based Human–AI Interaction

2021 ◽  
Vol 11 (4) ◽  
pp. 1920
Author(s):  
Jong-Gyu Shin ◽  
Ga-Young Choi ◽  
Han-Jeong Hwang ◽  
Sang-Ho Kim

With the development of artificial intelligence technology, voice-based intelligent systems (VISs), such as AI speakers and virtual assistants, are intervening in human life. VISs are emerging in a new way, called human–AI interaction, which is different from existing human–computer interaction. Using the Kansei engineering approach, we propose a method to evaluate user satisfaction during interaction between a VIS and a user-centered intelligent system. As a user satisfaction evaluation method, a VIS comprising four types of design parameters was developed. A total of 23 subjects were considered for interaction with the VIS, and user satisfaction was measured using Kansei words (KWs). The questionnaire scores collected through KWs were analyzed using exploratory factor analysis. ANOVA was used to analyze differences in emotion. On the “pleasurability” and “reliability” axes, it was confirmed that among the four design parameters, “sentence structure of the answer” and “number of trials to get the right answer for a question” affect the emotional satisfaction of users. Four satisfaction groups were derived according to the level of the design parameters. This study can be used as a reference for conducting an integrated emotional satisfaction assessment using emotional metrics such as biosignals and facial expressions.

2015 ◽  
Vol 27 (2) ◽  
pp. 283-301 ◽  
Author(s):  
Arzu Vuruskan ◽  
Turker Ince ◽  
Ender Bulgun ◽  
Cuneyt Guzelis

Purpose – The purpose of this paper is to develop an intelligent system for fashion style selection for non-standard female body shapes. Design/methodology/approach – With the goal of creating natural aesthetic relationship between the body shape and the shape of clothing, garments designed for the upper and lower body are combined to fit different female body shapes, which are classified as V, A, H and O-shapes. The proposed intelligent system combines genetic algorithm (GA) with a neural network classifier, which is trained using the particle swarm optimization (PSO). The former, called genetic search, is used to find the optimal design parameters corresponding to a best fit for the desired target, while the task of the latter, called neural classification, is to evaluate fitness (goodness) of each evolved new fashion style. Findings – The experimental results are fashion styling recommendations for the four female body shapes, drawn from 260 possible combinations, based on variations from 15 attributes. These results are considered to be a strong indication of the potential benefits of the application of intelligent systems to fashion styling. Originality/value – The proposed intelligent system combines the effective searching capabilities of two approaches. The first approach uses the GA for identifying best fits to the target shape of the body in the solution space. The second is the PSO for finding optimal (with respect to training mean-squared error) weight and threshold parameters of the neural classifier, which is able to evaluate the fitness of successively evolved fashion styles.


2015 ◽  
Vol 3 (2) ◽  
pp. 295
Author(s):  
Imaduddin Abdul Rahim ◽  
Oky Dwi Nurhayati ◽  
Kurniawan Teguh Martono

Almost in every aspect of life, people are always faced with several options. Making the right decision will greatly affect our lives in the future. Problems in decision making are also experienced by high school students or high school who want to continue their education to a higher level, namely the University. University is a choice of formal education for high school students who will continue to the higher education. Students who wish to proceed to the University of Diponegoro University will particularly difficult because of the many options available majors. Often some high school students who have a student do not get along with their chosen majors, this course will make their declining interest in learning. As an information technology solution that exists today can be utilized to see the interest of the students so that mismatch and vacillation in the selection of majors can subtract. The purpose of making the determination of intelligent systems majors at Diponegoro University, among others, is, to develop an intelligent software that can help high school students determine the appropriate department at the University of Diponegoro. Intelligent system implements advanced tracing method or Forward Chaining to determine Diponegoro University majoring in accordance with the interests of the students. This can be done by making questions like questionnaires with a variety of options to be able to know the interests of students. Forward Chaining is a method in the form of a strategy to predict or find the solution of a problem that starts with a set of known facts, then lower the new fact that the premise is based on the rule matches the known facts. The system is made to work on a desktop base with Visual Basic programming language, and the database used is Microsoft Access. The results of testing this systems shows that all the features contained in this system can work well, and are able to provide the appropriate department recommendations, as well as ranked by passing grade and information about majors contained in Diponegoro University to the users of intelligent systems is particularly students from high school.


2018 ◽  
Vol 2018 (9) ◽  
pp. 1-7
Author(s):  
Anita Linka ◽  
Agnieszka Wróblewska

New technologies are more and more often used to increase the level of securing humans work as well as many processes from various areas of industry or transport. Intelligent systems not only support work while optimizing it, but also minimize the risk of dangerous situations for human life. It is the man who is still considered the weakest link in most processes, and it is the human factor that causes many accidents and disasters. Therefore, its activities should be controlled at every stage of the task being performed. This publication describes the use of intelligent technology in the process of training pilots and performing aerobatics.


Author(s):  
M. G. Koliada ◽  
T. I. Bugayova

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.


2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Nurul Fatima Hasan

Indeed, in terms of the whole implementation of life has been arranged in the view of Islamic teachings to regulate all human life including in relation to the implementation of the economy and business. Islam does not allow any person to work haphazardly to achieve his/her goals and desires by justifying any means such as committing fraud, cheating, false vows, usury, and any other vanity deeds. But, Islam has given a boundary or line between the allowable and the unlawful, the right and wrong and the lawful and the unlawful. These limits or dividing lines are known as ethics. Behavior in business or trade is also not escaped from the moral value or business ethics values. Islamic business ethics is of which adheres to the principle of unity, equilibrium principle, freewill principle, responsibility principle, It is important for business people to integrate that ethical dimension into the framework or scope of the business. Keyword: Ethics, Business Ethics, Islamic Business Ethic.


2019 ◽  
Author(s):  
Valentina Escotet Espinoza

UNSTRUCTURED Over half of Americans report looking up health-related questions on the internet, including questions regarding their own ailments. The internet, in its vastness of information, provides a platform for patients to understand how to seek help and understand their condition. In most cases, this search for knowledge serves as a starting point to gather evidence that leads to a doctor’s appointment. However, in some cases, the person looking for information ends up tangled in an information web that perpetuates anxiety and further searches, without leading to a doctor’s appointment. The Internet can provide helpful and useful information; however, it can also be a tool for self-misdiagnosis. Said person craves the instant gratification the Internet provides when ‘googling’ – something one does not receive when having to wait for a doctor’s appointment or test results. Nevertheless, the Internet gives that instant response we demand in those moments of desperation. Cyberchondria, a term that has entered the medical lexicon in the 21st century after the advent of the internet, refers to the unfounded escalation of people’s concerns about their symptomatology based on search results and literature online. ‘Cyberchondriacs’ experience mistrust of medical experts, compulsion, reassurance seeking, and excessiveness. Their excessive online research about health can also be associated with unnecessary medical expenses, which primarily arise from anxiety, increased psychological distress, and worry. This vicious cycle of searching information and trying to explain current ailments derives into a quest for associating symptoms to diseases and further experiencing the other symptoms of said disease. This psychiatric disorder, known as somatization, was first introduced to the DSM-III in the 1980s. Somatization is a psycho-biological disorder where physical symptoms occur without any palpable organic cause. It is a disorder that has been renamed, discounted, and misdiagnosed from the beginning of the DSMs. Somatization triggers span many mental, emotional, and cultural aspects of human life. Our environment and social experiences can lay the blueprint for disorders to develop over time; an idea that is widely accepted for underlying psychiatric disorders such as depression and anxiety. The research is going in the right direction by exploring brain regions but needs to be expanded on from a sociocultural perspective. In this work, we explore the relationship between somatization disorder and the condition known as cyberchondria. First, we provide a background on each of the disorders, including their history and psychological perspective. Second, we proceed to explain the relationship between the two disorders, followed by a discussion on how this relationship has been studied in the scientific literature. Thirdly, we explain the problem that the relationship between these two disorders creates in society. Lastly, we propose a set of intervention aids and helpful resource prototypes that aim at resolving the problem. The proposed solutions ranged from a site-specific clinic teaching about cyberchondria to a digital design-coded chrome extension available to the public.


Author(s):  
Wai-Tat Fu ◽  
Jessie Chin ◽  
Q. Vera Liao

Cognitive science is a science of intelligent systems. This chapter proposes that cognitive science can provide useful perspectives for research on technology-mediated human-information interaction (HII) when HII is cast as emergent behaviour of a coupled intelligent system. It starts with a review of a few foundational concepts related to cognitive computations and how they can be applied to understand the nature of HII. It discusses several important properties of a coupled cognitive system and their implication to designs of information systems. Finally, it covers how levels of abstraction have been useful for cognitive science, and how these levels can inform design of intelligent information systems that are more compatible with human cognitive computations.


2021 ◽  
Vol 11 (1) ◽  
pp. 1-37
Author(s):  
Nir Douer ◽  
Joachim Meyer

When humans interact with intelligent systems, their causal responsibility for outcomes becomes equivocal. We analyze the descriptive abilities of a newly developed responsibility quantification model (ResQu) to predict actual human responsibility and perceptions of responsibility in the interaction with intelligent systems. In two laboratory experiments, participants performed a classification task. They were aided by classification systems with different capabilities. We compared the predicted theoretical responsibility values to the actual measured responsibility participants took on and to their subjective rankings of responsibility. The model predictions were strongly correlated with both measured and subjective responsibility. Participants’ behavior with each system was influenced by the system and human capabilities, but also by the subjective perceptions of these capabilities and the perception of the participant's own contribution. A bias existed only when participants with poor classification capabilities relied less than optimally on a system that had superior classification capabilities and assumed higher-than-optimal responsibility. The study implies that when humans interact with advanced intelligent systems, with capabilities that greatly exceed their own, their comparative causal responsibility will be small, even if formally the human is assigned major roles. Simply putting a human into the loop does not ensure that the human will meaningfully contribute to the outcomes. The results demonstrate the descriptive value of the ResQu model to predict behavior and perceptions of responsibility by considering the characteristics of the human, the intelligent system, the environment, and some systematic behavioral biases. The ResQu model is a new quantitative method that can be used in system design and can guide policy and legal decisions regarding human responsibility in events involving intelligent systems.


Author(s):  
Keren Dopelt ◽  
Dganit Cohen ◽  
Einat Amar-Krispel ◽  
Nadav Davidovitch ◽  
Paul Barach

The demand for medical assistance in dying remains high and controversial with a large knowledge gap to support optimal patient care. The study aimed to explore physicians’ attitudes regarding euthanasia and examine the factors that related to these attitudes. We surveyed 135 physicians working at a tertiary-care hospital in Israel. The questionnaire was comprised of demographic and background information, DNR procedure information, encounters with terminally ill patients, familiarity with the law regarding end-of-life questions, and Attitudes toward Euthanasia. About 61% agreed that a person has the right to decide whether to expedite their own death, 54% agreed that euthanasia should be allowed, while 29% thought that physicians should preserve a patients’ life even when they expressed the wish to die. A negative statistically significant relationship was found between the level of religiosity and attitudes toward euthanasia. The physicians’ attitudes towards euthanasia are quite positive when compared to other countries. The data shows a conflict of values: the sacredness of human life versus the desire to alleviate patients’ suffering. The Coronavirus-19 outbreak reinforces the importance of supporting physicians’ efforts to provide ethical and empathic communication for terminally ill patients. Future studies should aim to improve our understanding and treatment of the specific types of suffering that lead to end-of-life requests.


2015 ◽  
Vol 5 (2) ◽  
pp. 194-205 ◽  
Author(s):  
Scarlat Emil ◽  
Virginia Mărăcine

Purpose – The purpose of this paper is to discuss how tacit and explicit knowledge determine grey knowledge and how these are stimulated through interactions within networks, forming the grey hybrid intelligent systems (HISs). The feedback processes and mechanisms between internal and external knowledge determine the apparition of grey knowledge into an intelligent system (IS). The extension of ISs is determined by the ubiquity of the internet but, in our framework, the grey knowledge flows assure the viability and effectiveness of these systems. Design/methodology/approach – Some characteristics of the Hybrid Intelligent Knowledge Systems are put forward along with a series of models of hybrid computational intelligence architectures. More, relevant examples from the literature related to the hybrid systems architectures are presented, underlying their main advantages and disadvantages. Findings – Due to the lack of a common framework it remains often difficult to compare the various HISs conceptually and evaluate their performance comparatively. Different applications in different areas are needed for establishing the best combinations between models that are designed using grey, fuzzy, neural network, genetic, evolutionist and other methods. But all these systems are knowledge dependent, the main flow that is used in all parts of every kind of system being the knowledge. Grey knowledge is an important part of the real systems and the study of its proprieties using the methods and techniques of grey system theory remains an important direction of the researches. Originality/value – The paper discusses the differences among the three types of knowledge and how they and the grey systems theory can be used in different hybrid architectures.


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