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Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction
[article]
2021
arXiv
pre-print
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The consistency of a response to a given post at semantic-level and emotional-level is essential for a dialogue system to deliver human-like interactions. ...
responses with appropriately expressed emotions. ...
CONCLUSION In this paper, we propose an emotion-aware chat machine (EACM) to address the emotional response generation problem, which is composed of an emotion selector and a response generator. ...
arXiv:2106.03044v1
fatcat:c32tcpnjcrhbhioowa4teeydcm
Editorial: Machine learning approaches to recognize human emotions
2024
Frontiers in Psychology
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Biosignal processing for emotion recognition One of the most promising sources for emotion recognition is biosignals (Egger et al., 2019) . ...
guest editors would like to thank all the contributors of the Research Topic and all reviewers for their thoughtful and valuable comments. ...
Two psychologists assessed ChatGPT's responses, comparing its performance in detecting emotional awareness (EA) with that of 750 humans (Nandrino et al., 2013) . ...
doi:10.3389/fpsyg.2023.1333794
pmid:38239471
pmcid:PMC10794425
fatcat:4wrvceh7zbdu5ogsxtfds7jo7u
Towards Socialized Machines: Emotions and Sense of Humour in Conversational Agents
[chapter]
2010
Web Intelligence and Intelligent Agents
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Therefore, if humour enhances the interaction between humans, a similar effect should be obtained in interaction with machines. ...
C) Emotion Since one of the agents was using humorous responses we also checked whether the jokes influenced the human-computer interaction. ...
Towards Socialized Machines: Emotions and Sense of Humour in Conversational Agents, Web Intelligence and Intelligent Agents, Zeeshan-Ul-Hassan Usmani (Ed.), ISBN: 978-953-7619-85-5, InTech, Available from ...
doi:10.5772/8384
fatcat:ep7ibksscjdkja6qiuc4a6q2ym
Conditional Text Generation for Harmonious Human-Machine Interaction
[article]
2020
arXiv
pre-print
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2019 pre-print arXiv:1909.03409v1 fatcat:qec2obfxgngwhcadd4xiynupwq
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 ...
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 ...
CONCLUSION We have made a systematic review of the research trends of conditional text generation (c-TextGen). ...
arXiv:1909.03409v2
fatcat:s2zfmwxtubgwjks4luoby6vdoq
Toward Machines With Emotional Intelligence
[chapter]
2008
The Science of Emotional IntelligenceKnowns and Unknowns
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Machines are now being given the ability to sense and recognize expressions of human emotion such as interest, distress, and pleasure, with the recognition that such communication is vital for helping ...
empathetic or otherwise emotionally intelligent. ...
Acknowledgments I would like to thank Shaundra Bryant Daily for helpful comments on this manuscript. ...
doi:10.1093/acprof:oso/9780195181890.003.0016
fatcat:hcgd24wdirhjpkpe7rot25s3ry
Human computing and machine understanding of human behavior
2006
Proceedings of the 8th international conference on Multimodal interfaces - ICMI '06
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If this prediction is to come true, then next generation computing, which we will call human computing, should be about anticipatory user interfaces that should be human-centered, built for humans based ...
They should transcend the traditional keyboard and mouse to include natural, human-like interactive functions including understanding and emulating certain human behaviors such as affective and social ...
of social networks formed of humans and computers (like in the case of virtual worlds), in their current form, they are not appropriate for general anticipatory interfaces. ...
doi:10.1145/1180995.1181044
dblp:conf/icmi/PanticPNH06
fatcat:wyix2qgyrrfczfcthifm3gzfcu
Chatbots: History, technology, and applications
2020
Machine Learning with Applications
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It aims to organize critical information that is a necessary background for further research activity in the field of chatbots. ...
After we present a complete categorization system, we analyze the two essential implementation technologies, namely, the pattern matching approach and machine learning. ...
However, ALICE did not have intelligent features and could not generate human-like answers expressing emotions or attitudes. ...
doi:10.1016/j.mlwa.2020.100006
fatcat:ezeuv56hizf3rfbo2ekb2yksiy
Cybersex with human- and machine-cued partners: Gratifications, shortcomings, and tensions
2020
Technology, Mind, and Behavior
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as a human or a machine. ...
Multimethod analysis suggests there may be no difference in gratifications from sex chat with ostensible machine versus human partners; however, participants seem to experience tensions between the gratifications ...
As social machines become more human-like in appearance, functioning, and/or behavior, the potential for humans and machines to cooperatively generate meaning through interaction (Guzman, 2018) may include ...
doi:10.1037/tmb0000008
fatcat:g5q7wfn7yfeqfkwrubp2ebkh5m
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
[article]
2020
arXiv
pre-print
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engineering or deep learning for automatic detection based on online social contents. ...
Current suicidal ideation detection methods include clinical methods based on the interaction between social workers or experts and the targeted individuals and machine learning techniques with feature ...
To enable timely intervention for suicidal thoughts, automatic response generation becomes a promising technical solution. ...
arXiv:1910.12611v2
fatcat:63z4uvh5zrgyzb2bawtlbuo34m
Social Robots Outdo the Not-So-Social Media for Self-Disclosure: Safe Machines Preferred to Unsafe Humans?
2022
Robotics
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In the design of interventions for mental well-being, human helpers thus far took center stage. ...
In a follow-up on earlier work, we report on a lab experiment of self-disclosing negative emotions to a social media group as compared to writing a conventional diary journal or to talking to an AI-driven ...
Jia-Yuan Chen is thanked for proposing a new direction for future research.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/robotics11050092
fatcat:6qij562gavb5naizbymkmgg3me
A Thief among Us: The Use of Finite-State Machines to Dissect Insider Threat in Cloud Communications
2012
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
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Specifically, the authors adopted a finite-state machine (FSM) approach to analyzing patterns of a group's emotional states in order to understand how members collectively distinguish insider betrayal ...
through computer-mediated interactions, social connectivity and coordination. ...
The first author wishes to thank Conrad Metcalfe for his editing assistance. ...
doi:10.22667/jowua.2012.03.31.082
dblp:journals/jowua/HoL12
fatcat:htfvefxg45fuhhzzlcgf66xlqm
The Human-or-Machine Matter: Turing-Inspired Reflections on an Everyday Issue
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2305.04312v1 fatcat:rfztuvb6n5bghir5ia22j3ah74Other Versions
Instead, we first draw attention to the seemingly simpler question a person may ask themselves in an everyday interaction: "Am I interacting with a human or with a machine?". ...
We then shift the focus from seeking a method for eliciting the answer, and, rather, reflect upon the importance and significance of this Human-or-Machine question and the use one may make of a reliable ...
are completely preprogrammed, whereas humans have free will." • Emotions: "Humans have emotions and feel compassion, whereas machines do not." • Context awareness: "Humans are sensitive to context and ...
arXiv:2305.04312v4
fatcat:c43oeusc4jfhvbske6zxjzdy44
Can machines talk? Comparison of Eliza with modern dialogue systems
2016
Computers in Human Behavior
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More than one hundred male and female participants with 1 st or non-1 st English language, age range 13-64, interacted with the systems over the Internet scoring each for conversation ability. ...
Embedded on the web affording round-the-clock interaction the nature of artificial dialogue systems is evolving as these systems learn from the way humans converse. ...
We would also like to thank the developers for embedding their conversation systems on special websites across the Internet and making them available to testers throughout 2012 for this experiment. ...
doi:10.1016/j.chb.2016.01.004
fatcat:gpyiwmrrjvgy3iciegmawwuhdq
Towards Automatic & Personalised Mobile Health Interventions: An Interactive Machine Learning Perspective
[article]
2018
arXiv
pre-print
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In this paper, we introduce an application of interactive machine learning (iML) in a telemedicine system, to enable automatic and personalised interventions for lifestyle promotion. ...
We then illustrate the interactive machine learning process design. ...
The inherent coupling of the human and machine in interactive machine learning underscores the need for collaboration across the fields of human-computer interaction and machine learning. ...
arXiv:1803.01842v1
fatcat:jkd4sv3dgffr7ag6aigh4xkr7a
Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff
2021
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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This problem can be addressed by introducing the Machine-Human Chatting Handoff (MHCH) which enables human-algorithm collaboration. ...
For some challenging cases, e.g., dialogue's topical spectrum spreads beyond the training corpus coverage, the chatbot may malfunction and return unsatisfied utterances. ...
Acknowledgments We thank the anonymous reviewers for their helpful comments and suggestions. ...
doi:10.1609/aaai.v35i7.16731
fatcat:frxesli3ejewxhxtbhgxjmpo6i
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