The framework for Simulation of Human and Artificial Emotion (SHArE) describes the architecture of emotion in terms of parameters transferable between psychology, neuroscience, and artificial intelligence. These parameters can be defined as abstract concepts or granularized down to the voltage levels of individual neurons. This model enables emotional trajectory design for humans which may lead to novel therapeutic solutions for various mental health concerns. For artificial intelligence, this work provides a compact notation which can be applied to neural networks as a means to observe the emotions and motivations of machines.
Level of agreement between emotions generated by Artificial Intelligence and human evaluation: a methodological proposal
Facultad de Ingeniería y Ciencias（工程与科学学院）；Universidad Adolfo Ibañez（阿道夫·伊巴涅斯大学）；Faculty of Education Sciences and Psychology（教育科学与心理学院）；University of Cordoba（科尔多瓦大学）；Faculty of Law, Economics and Business（法律、经济与商学院）
Nanjing University of Science and Technology（南京理工大学）；Dalhousie University（达尔豪斯大学）
Taking advantage of social media platforms, such as Twitter, this paper provides an effective framework for emotion detection among those who are quarantined. Early detection of emotional feelings and their trends help implement timely intervention strategies. Given the limitations of medical diagnosis of early emotional change signs during the quarantine period, artificial intelligence models provide effective mechanisms in uncovering early signs, symptoms and escalating trends. Novelty of the approach presented herein is a multitask methodological framework of text data processing, implement…
Institute for Theoretical Physics, Goethe University Frankfurt am Main（法兰克福歌德大学理论物理研究所）
Biological as well as advanced artificial intelligences (AIs) need to decide which goals to pursue. We review nature's solution to the time allocation problem, which is based on a continuously readjusted categorical weighting mechanism we experience introspectively as emotions. One observes phylogenetically that the available number of emotional states increases hand in hand with the cognitive capabilities of animals and that raising levels of intelligence entail ever larger sets of behavioral options. Our ability to experience a multitude of potentially conflicting feelings is in this view no…
Humans dispose of two intertwined information processing pathways, cognitive information processing via neural firing patterns and diffusive volume control via neuromodulation. The cognitive information processing in the brain is traditionally considered to be the prime neural correlate of human intelligence, clinical studies indicate that human emotions intrinsically correlate with the activation of the neuromodulatory system. We examine here the question: Why do humans dispose of the diffusive emotional control system? Is this a coincidence, a caprice of nature, perhaps a leftover of our gen…
Ortus is a simple virtual organism that also serves as an initial framework for investigating and developing biologically-based artificial intelligence. Born from a goal to create complex virtual intelligence and an initial attempt to model C. elegans, Ortus implements a number of mechanisms observed in organic nervous systems, and attempts to fill in unknowns based upon plausible biological implementations and psychological observations. Implemented mechanisms include excitatory and inhibitory chemical synapses, bidirectional gap junctions, and Hebbian learning with its Stentian extension. We…
School of Electrical and Computer Engineering（电气与计算机工程学院）；University of Campinas（坎皮纳斯大学）
When songs are composed or performed, there is often an intent by the singer/songwriter of expressing feelings or emotions through it. For humans, matching the emotiveness in a musical composition or performance with the subjective perception of an audience can be quite challenging. Fortunately, the machine learning approach for this problem is simpler. Usually, it takes a data-set, from which audio features are extracted to present this information to a data-driven model, that will, in turn, train to predict what is the probability that a given song matches a target emotion. In this paper, we…
Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education
Michigan State University（密歇根州立大学）；University of Pittsburgh（匹兹堡大学）
Self-Emotion-Mediated Exploration in Artificial Intelligence Mirrors: Findings from Cognitive Psychology
University of Coimbra（科英布拉大学）；Institute for Biomedical Imaging and Translational Research（生物医学影像与转化研究 institutes）；Institute of Systems and Robotics（系统与机器人研究所）
Can Artificial Intelligence Support Healthcare and Mental Health Through Early Cyberbullying Detection ? The Impact of Emotion-Aware AI on Proactive Online Safety
Faculty of Computer Science, University of New Brunswick（新不伦瑞克大学计算机科学学院）；Khoury College of Computer Sciences, Northeastern University（东北大学库里计算机科学学院）
Artificial intelligence (AI) has become a part of everyday conversation and our lives. It is considered as the new electricity that is revolutionizing the world. AI is heavily invested in both industry and academy. However, there is also a lot of hype in the current AI debate. AI based on so-called deep learning has achieved impressive results in many problems, but its limits are already visible. AI has been under research since the 1940s, and the industry has seen many ups and downs due to over-expectations and related disappointments that have followed. The purpose of this book is to give a …
Language-Specific Representation of Emotion-Concept Knowledge Causally Supports Emotion Inference
Tsinghua University（清华大学）；University of Science and Technology Beijing（北京科技大学）；University of Massachusetts Lowell（马萨诸塞大学洛厄尔分校）；University of Pittsburgh（匹兹堡大学）；University of North Carolina（北卡罗来纳大学）
Research on emotionally intelligent dialogue generation based on automatic dialogue system
University of the People（人民大学）；Sehan University（世翰大学）；Indian Institute of Technology Guwahati（印度理工学院古瓦哈提分校）；Universidad Internacional Isabel I de Castilla（卡斯蒂利亚伊莎贝尔一世国际大学）；AMA University（AMA大学）
Veracity is an essential key in research and development of innovative products. Live Emotion analysis and verification nullify deceit made to complainers on live chat, corroborate messages of both ends in messaging apps and promote an honest conversation between users. The main concept behind this emotion artificial intelligent verifier is to license or decline message accountability by comparing variegated emotions of chat app users recognized through facial expressions and text prediction. In this paper, a proposed emotion intelligent live detector acts as an honest arbiter who distributes …
Can AI detect pain and express pain empathy? A review from emotion recognition and a human-centered AI perspective
Institute of Psychology, Chinese Academy of Sciences（中国科学院心理研究所）；University of Chinese Academy of Sciences（中国科学院大学）；University of Oxford（牛津大学）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；University of Hamburg（汉堡大学）；University of Macau（澳门大学）
Quantum Operation of Affective Artificial Intelligence
Bogolubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research（联合核研究所博戈柳博夫理论物理实验室）；Instituto de Fisica de São Carlos, Universidade de São Paulo（圣保罗大学圣卡洛斯物理研究所）
In this work, we analyze the happiness levels of countries using an unbiased emotion detector, artificial intelligence (AI). To date, researchers proposed many factors that may affect happiness such as wealth, health and safety. Even though these factors all seem relevant, there is no clear consensus between sociologists on how to interpret these, and the models to estimate the cost of these utilities include some assumptions. Researchers in social sciences have been working on determination of the happiness levels in society and exploration of the factors correlated with it through polls and …
Instituto Politécnico Nacional（国立理工学院）；University of Michigan（密歇根大学）；Carnegie Mellon University（卡内基梅隆大学）
Emotion is intrinsic to humans and consequently emotion understanding is a key part of human-like artificial intelligence (AI). Emotion recognition in conversation (ERC) is becoming increasingly popular as a new research frontier in natural language processing (NLP) due to its ability to mine opinions from the plethora of publicly available conversational data in platforms such as Facebook, Youtube, Reddit, Twitter, and others. Moreover, it has potential applications in health-care systems (as a tool for psychological analysis), education (understanding student frustration) and more. Additiona…
