scholarly journals Conditional Text Generation for Harmonious Human-Machine Interaction

2021 ◽  
Vol 12 (2) ◽  
pp. 1-50
Author(s):  
Bin Guo ◽  
Hao Wang ◽  
Yasan Ding ◽  
Wei Wu ◽  
Shaoyang Hao ◽  
...  
Keyword(s):  
Research Field ◽  
Human Beings ◽  
Text Generation ◽  
Human Machine Interaction ◽  
Research Directions ◽  
Concept Model ◽  
New Research ◽  
Key Techniques ◽  
Machine Interaction ◽  
Generation Technology

In recent years, with the development of deep learning, text-generation technology has undergone great changes and provided many kinds of services for human beings, such as restaurant reservation and daily communication. The automatically generated text is becoming more and more fluent so researchers begin to consider more anthropomorphic text-generation technology, that is, the conditional text generation, including emotional text generation, personalized text generation, and so on. Conditional Text Generation (CTG) has thus become a research hotspot. As a promising research field, we find that much attention has been paid to exploring it. Therefore, we aim to give a comprehensive review of the new research trends of CTG. We first summarize several key techniques and illustrate the technical evolution route in the field of neural text generation, based on the concept model of CTG. We further make an investigation of existing CTG fields and propose several general learning models for CTG. Finally, we discuss the open issues and promising research directions of CTG.

scholarly journals A Bibliometric Analysis of Human-Machine Interaction Methodology for Electric-Powered Wheelchairs Driving from 1998 to 2020

2021 ◽  
Vol 18 (14) ◽  
pp. 7567
Author(s):  
Xiaochen Zhang ◽  
Lanxin Hui ◽  
Linchao Wei ◽  
Fuchuan Song ◽  
Fei Hu
Keyword(s):  
The Elderly ◽  
Research Field ◽  
Future Research ◽  
Human Machine Interaction ◽  
Research Directions ◽  
The Past ◽  
Power Wheelchairs ◽  
The Disabled ◽  
Future Research Directions ◽  
Machine Interaction

Electric power wheelchairs (EPWs) enhance the mobility capability of the elderly and the disabled, while the human-machine interaction (HMI) determines how well the human intention will be precisely delivered and how human-machine system cooperation will be efficiently conducted. A bibliometric quantitative analysis of 1154 publications related to this research field, published between 1998 and 2020, was conducted. We identified the development status, contributors, hot topics, and potential future research directions of this field. We believe that the combination of intelligence and humanization of an EPW HMI system based on human-machine collaboration is an emerging trend in EPW HMI methodology research. Particular attention should be paid to evaluating the applicability and benefits of the EPW HMI methodology for the users, as well as how much it contributes to society. This study offers researchers a comprehensive understanding of EPW HMI studies in the past 22 years and latest trends from the evolutionary footprints and forward-thinking insights regarding future research.

Social stress and performance in human-machine interaction: a neglected research field

Ergonomics ◽  
2019 ◽  
Vol 62 (11) ◽  
pp. 1377-1391 ◽  
Author(s):  
Juergen Sauer ◽  
Sven Schmutz ◽  
Andreas Sonderegger ◽  
Nadine Messerli
Keyword(s):  
Social Stress ◽  
Research Field ◽  
Human Machine Interaction ◽  
And Performance ◽  
Machine Interaction

scholarly journals Databases, Features and Classification Techniques for Speech Emotion Recognition

2020 ◽  
Vol 9 (6) ◽  
pp. 185-190
Keyword(s):  
Emotion Recognition ◽  
Research Area ◽  
Research Field ◽  
Speech Emotion Recognition ◽  
Emotional Speech ◽  
Human Machine Interaction ◽  
Classification Techniques ◽  
Classification Feature ◽  
Physical Gestures ◽  
Machine Interaction

Emotion recognition is a rapidly growing research field. Emotions can be effectively expressed through speech and can provide insight about speaker’s intentions. Although, humans can easily interpret emotions through speech, physical gestures, and eye movement but to train a machine to do the same with similar preciseness is quite a challenging task. SER systems can improve human-machine interaction when used with automatic speech recognition, as emotions have the tendency to change the semantics of a sentence. Many researchers have contributed their extremely impressive work in this research area, leading to development of numerous classification, feature selection, feature extraction and emotional speech databases. This paper reviews recent accomplishments in the area of speech emotion recognition. It also present a detailed review of various types of emotional speech databases, and different classification techniques which can be used individually or in combination and a brief description of various speech features for emotion recognition.

Topic structure and evolution patterns of documentary heritage preservation and conservation research in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yaolin Zhou ◽  
Yun Bai ◽  
Yue Zhao
Keyword(s):  
Electronic Record ◽  
Research Field ◽  
Cooperative Research ◽  
Heritage Preservation ◽  
China National Knowledge Infrastructure ◽  
Research Directions ◽  
Content Type ◽  
The Core ◽  
New Research ◽  
Topic Structure

PurposeThis study aims to identify the prominent topics, the distribution and association characteristics of topics and the topic evolutionary trends of Documentary Heritage Preservation and Conservation (DHPAC) research in China.Design/methodology/approachKeywords of relevant papers in China National Knowledge Infrastructure (CNKI) were extracted as the data source in this study. First, frequency and co-occurrence of keywords of the selected papers were obtained by using SATI. Second, co-word network indicators were calculated with the Pajek software. Then, VOSviewer was applied to optimize the visualization of the sub-communities. Finally, a topics evolution map of this research field was implemented by CorTexT.FindingsThe research topics of DHPAC research in China were unbalanced but distinct. Topics of DHPAC research in China possessed inconspicuous orientation and consistency. The core topics had less influence on the overall network. A research system had formed with archival conservation and ancient books conservation as the core research directions. Research in this field had formed four continuous evolutionary paths about ancient books conservation, salvage conservation, archival conservation and archives conservation technology science with topics fusion and differentiation coexisting. Attentions on “ancient books conservation”, “paper relics conservation”, “electronic record”, “digitization”, “minority”, “documents in the republic of China” had increased during the past two decades and new hot topics of DHPAC research kept appearing in China.Originality/valueThis study synthesized and analyzed the research results of DHPAC research in China from a more comprehensive perspective and revealed the topic structure and longitudinal evolution process intuitively with co-word analysis and social network analysis, which can assist researchers to improve research systematization, discover new research directions and seek cooperative research path.

Scientometric analysis of the term 'microbiota' in research publications (1999–2017): a second youth of a century-old concept

2019 ◽  
Vol 366 (12) ◽  
Author(s):  
Lesya Baudoin ◽  
David Sapinho ◽  
Abdelghani Maddi ◽  
Luis Miotti
Keyword(s):  
Research Field ◽  
Scientometric Analysis ◽  
Research Front ◽  
Research Focus ◽  
Research Directions ◽  
Publication Patterns ◽  
Subject Categories ◽  
Great Progress ◽  
Important Health ◽  
New Research

ABSTRACTGreat progress in microbiota research during last decades resulted in a growing corpus of publications mentioning the term ‘microbiota’. Specifically, the human microbiota increasingly recognised nowadays as one of the most important health challenges is becoming an emerging research front. By examining over 28 000 microbiota-related papers from the Web of Science database, our study aims to characterise the evolution of publication patterns in this field between 1999 and 2017. The corpus is first analysed in terms of breakdown by journal subject categories, then an additional insight in the structuring of the microbiota research into different topics is provided by means of topic modelling. Our results demonstrate that over time (i) a substantial increase in the publications number is accompanied by a broad diversification of associated journal subject categories; (ii) the research focus moved outside from its primary research field showing successive shifts from dentistry and ecologically centred areas, through agri-food applied topics, towards the most recent clinical applications. The trends in thematic structure of the field presented from a historical perspective suggest that the current systemic approach to host–microbiota relationship inherited from the ecological background of the concept of microbiota has opened up a number of new research directions and perspectives.

scholarly journals What Safety are We Entitled to Expect of Self-driving Vehicles?

2019 ◽  
Vol 28 ◽  
pp. 95-102
Author(s):  
Taivo Liivak
Keyword(s):  
Product Liability ◽  
Human Beings ◽  
Human Machine Interaction ◽  
Liability Law ◽  
Machine Interaction

A manufacturer of self-driving vehicles could face claims involving assertions of the product’s defectiveness. Under the Product Liability Directive, a product is deemed defective when it does not provide the safety that a person is entitled to expect. Efforts to ascertain the possibility of defectiveness connected with a self-driving vehicle could necessitate evaluating the design of the vehicle, matters of human–machine interaction, and the role of the human in the relevant incident of damage. This article lays groundwork by considering the capabilities of self-driving vehicles, the role and expectations of human beings, and legislation aimed at ensuring safety and preventing damage. This discussion concretely situates the concept of the safety of self-driving vehicles in the context of product liability law, which is inherently preoccupied mainly with the consequences.

scholarly journals Autonomous Surgical Robotics at Task and Subtask Levels

2022 ◽  
pp. 319-338
Author(s):  
Tamás Dániel Nagy ◽  
Tamás Haidegger
Keyword(s):  
Standard Of Care ◽  
Da Vinci Surgical System ◽  
Minimally Invasive Procedures ◽  
Human Machine Interaction ◽  
Research Directions ◽  
Surgical Practice ◽  
Vinci Surgical System ◽  
The Given ◽  
Machine Interaction ◽  
Surgical System

The revolution of minimally invasive procedures had a significant influence on surgical practice, opening the way to laparoscopic surgery, then evolving into robotics surgery. Teleoperated master-slave robots, such as the da Vinci Surgical System, has become a standard of care during the last few decades, performing over a million procedures per year worldwide. Many believe that the next big step in the evolution of surgery is partial automation, which would ease the cognitive load on the surgeon, making them possible to pay more attention on the critical parts of the intervention. Partial and sequential introduction and increase of autonomous capabilities could provide a safe way towards Surgery 4.0. Unfortunately, autonomy in the given environment, consisting mostly of soft organs, suffers from grave difficulties. In this chapter, the current research directions of subtask automation in surgery are to be presented, introducing the recent advances in motion planning, perception, and human-machine interaction, along with the limitations of the task-level autonomy.

scholarly journals Learner Autonomy in the Vietnamese EAP Context

2020 ◽  
Vol 16 (1) ◽  
pp. 13
Author(s):  
Jasper Roe ◽  
Dr Mike Perkins
Keyword(s):  
Self Regulation ◽  
Learner Autonomy ◽  
English For Academic Purposes ◽  
Research Field ◽  
Learning Approaches ◽  
Culture Learning ◽  
Research Directions ◽  
Heritage Culture ◽  
New Research ◽  
Do So

: This literature review explores the current body of research pertaining to learner autonomy in the Vietnamese English for Academic Purposes (EAP) context, investigating themes and research methodologies, conclusions drawn, limitations and possible avenues for further study and new research directions in the future. We demonstrate that although there are many studies exploring the concept of learner autonomy, the definitions as to how this term is described is not clear throughout the literature, and this is a limitation in the current research field. In addition to this, there is significant evidence suggesting that Vietnamese EAP learners are keen to engage in autonomous learning practices and can demonstrate the self-regulation required to do so, which disagrees with traditional conceptions of Confucian heritage culture learning approaches.

scholarly journals Autonomous Surgical Robotics at Task and Subtask Levels

2020 ◽  
pp. 296-319
Author(s):  
Tamás Dániel Nagy ◽  
Tamás Haidegger
Keyword(s):  
Standard Of Care ◽  
Da Vinci Surgical System ◽  
Minimally Invasive Procedures ◽  
Human Machine Interaction ◽  
Research Directions ◽  
Surgical Practice ◽  
Vinci Surgical System ◽  
The Given ◽  
Machine Interaction ◽  
Surgical System

The revolution of minimally invasive procedures had a significant influence on surgical practice, opening the way to laparoscopic surgery, then evolving into robotics surgery. Teleoperated master-slave robots, such as the da Vinci Surgical System, has become a standard of care during the last few decades, performing over a million procedures per year worldwide. Many believe that the next big step in the evolution of surgery is partial automation, which would ease the cognitive load on the surgeon, making them possible to pay more attention on the critical parts of the intervention. Partial and sequential introduction and increase of autonomous capabilities could provide a safe way towards Surgery 4.0. Unfortunately, autonomy in the given environment, consisting mostly of soft organs, suffers from grave difficulties. In this chapter, the current research directions of subtask automation in surgery are to be presented, introducing the recent advances in motion planning, perception, and human-machine interaction, along with the limitations of the task-level autonomy.

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