scholarly journals Modeling the Experience of Emotion

2012 ◽  
pp. 1-18 ◽  
Author(s):  
Joost Broekens
Keyword(s):  
Computational Modeling ◽  
Affective Computing ◽  
Computational Models ◽  
Appraisal Theory ◽  
Content Change ◽  
Primary Focus ◽  
Computational Models Of Emotion ◽  
Research Initiatives ◽  
And Behavior ◽  
Over Time

Affective computing has proven to be a viable field of research comprised of a large number of multidisciplinary researchers, resulting in work that is widely published. The majority of this work consists of emotion recognition technology, computational modeling of causal factors of emotion and emotion expression in virtual characters and robots. A smaller part is concerned with modeling the effects of emotion on cognition and behavior, formal modeling of cognitive appraisal theory and models of emergent emotions. Part of the motivation for affective computing as a field is to better understand emotion through computational modeling. In psychology, a critical and neglected aspect of having emotions is the experience of emotion: what does the content of an emotional episode look like, how does this content change over time and when do we call the episode emotional. Few modeling efforts in affective computing have these topics as a primary focus. The launch of a journal on synthetic emotions should motivate research initiatives in this direction, and this research should have a measurable impact on emotion research in psychology. In this paper, I show that a good way to do so is to investigate the psychological core of what an emotion is: an experience. I present ideas on how computational modeling of emotion can help to better understand the experience of emotion, and provide evidence that several computational models of emotion already address the issue.

Modeling the Experience of Emotion

2010 ◽  
Vol 1 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Joost Broekens
Keyword(s):  
Computational Modeling ◽  
Affective Computing ◽  
Computational Models ◽  
Appraisal Theory ◽  
Content Change ◽  
Primary Focus ◽  
Computational Models Of Emotion ◽  
Research Initiatives ◽  
And Behavior ◽  
Do So

Affective computing has proven to be a viable field of research comprised of a large number of multidisciplinary researchers, resulting in work that is widely published. The majority of this work consists of emotion recognition technology, computational modeling of causal factors of emotion and emotion expression in virtual characters and robots. A smaller part is concerned with modeling the effects of emotion on cognition and behavior, formal modeling of cognitive appraisal theory and models of emergent emotions. Part of the motivation for affective computing as a field is to better understand emotion through computational modeling. In psychology, a critical and neglected aspect of having emotions is the experience of emotion: what does the content of an emotional episode look like, how does this content change over time, and when do we call the episode emotional. Few modeling efforts in affective computing have these topics as a primary focus. The launch of a journal on synthetic emotions should motivate research initiatives in this direction, and this research should have a measurable impact on emotion research in psychology. In this article, I show that a good way to do so is to investigate the psychological core of what an emotion is: an experience. I present ideas on how computational modeling of emotion can help to better understand the experience of motion, and provide evidence that several computational models of emotion already address the issue.

scholarly journals Effect of emotionally toned Malay language sounds on the brain: a NIRS analysis

2019 ◽  
Vol 5 (1) ◽  
pp. 1-7
Author(s):  
Muhammad Nur Adilin Mohd Anuardi ◽  
Atsuko K. Yamazaki
Keyword(s):  
Language Processing ◽  
Affective Computing ◽  
Computational Models ◽  
Near Infrared ◽  
Positive Influence ◽  
Human Communication ◽  
Brain Areas ◽  
College Age ◽  
Recent Developments ◽  
Computational Models Of Emotion

Speech recognition features such as emotion have always been involved in human communication. With the recent developments in the communication methods, researchers have investigated artificial and emotional intelligence to improve communication. This has led to the emergence of affective computing, which deals with processing information pertaining to human emotions. This study aims to determine positive influence of language sounds containing emotion on brain function for improved communication. Twenty-seven college-age Japanese subjects with no prior exposure to the Malay language listened to emotionally toned and emotionally neutral sounds in the Malay language. Their brain activities were measured using near-infrared spectroscopy (NIRS) as they listened to the sounds. A comparison between different NIRS signals revealed that emotionally toned language sounds had a greater impact on brain areas associated with attention and emotion. On the contrary, emotionally neutral Malay sounds affected brain areas involved in working memory and language processing. These results suggest that emotionally-charged sounds initiate listeners’ attention and emotion recognition even when the listeners do not understand the language. The ability to interpret emotions presents challenges in computer systems and robotics; therefore, we hope that our results can be used for the development of computational models of emotion for autonomous robot research in the field of communication.

Raza, ciencia, sociedad

2015 ◽  
Vol 2 (4) ◽  
Author(s):  
Peter Wade
Keyword(s):  
Cultural Discourse ◽  
Human Biology ◽  
Science And Society ◽  
Race Science ◽  
And Behavior ◽  
Over Time

<p class="p1"><span class="s1"><strong>Resumen </strong></span>| En este trabajo quiero presentar una cronología convencional del concepto raza que marca un movimiento en el cual raza cambia de ser una idea basada en la cultura y el medio ambiente, a ser algo biológico, inflexible y determinante, para luego volver a ser una noción que habla de la cultura<span class="s2"><strong>.</strong></span>Resumo cómo la idea de raza ha cambiado a través del tiempo, mirando necesariamente el rol que ha desempeñado la ciencia, y enfocando los diferentes discursos de índole <em>natural-cultural </em>sobre los cuerpos, el medio ambiente y el comportamiento, en los cuales las dimensiones culturales y naturales siempre coexisten<span class="s2"><strong>.</strong></span>“La naturaleza” no puede ser entendida solamente como “la biología” y ni la naturaleza ni la biología necesariamente implican sólo el determinismo, la fijeza y la inmutabilidad Estar abiertos a la coexistencia de la cultura y la naturaleza y a la mutabilidad de la naturaleza nos permite ver mejor el ámbito de acción del pensamiento racial.</p><p class="p1"><strong><em>Race, Science and Society</em></strong></p><p class="p1"> </p><p class="p2"><span class="s1"><strong>Abstract </strong></span>| In this article I present and critique a standard chronology of race as, first, a concept rooted in culture and environment, and later in human biology and determinism, and finally back to culture alone<span class="s2"><strong><em>.</em></strong></span>I will outline changing understandings of race over time, with some attention to the role of science, broadly understood, and on the continuing but changing character of race as a natural-cultural discourse about organic bodies, environments and behavior, in which both cultural and natural dimensions always co-exist<span class="s2"><strong><em>.</em></strong></span>“Nature” is not to be understood simply as “biology,” and neither nature nor biology necessarily imply the fixity and determination that they are often assumed nowadays to involve<span class="s2"><strong><em>.</em></strong></span>Being open to the co-existence of culture and nature and the mutability of the latter allows us to better comprehend the whole range of action of racial thinking.</p>

Computing Possible Futures

2019 ◽  
Author(s):  
William B. Rouse
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computational Modeling ◽  
Mental Model ◽  
Data Analytics ◽  
Computational Models ◽  
Senior Managers ◽  
Interactive Visualizations ◽  
Use Of Models ◽  
Better Than

This book discusses the use of models and interactive visualizations to explore designs of systems and policies in determining whether such designs would be effective. Executives and senior managers are very interested in what “data analytics” can do for them and, quite recently, what the prospects are for artificial intelligence and machine learning. They want to understand and then invest wisely. They are reasonably skeptical, having experienced overselling and under-delivery. They ask about reasonable and realistic expectations. Their concern is with the futurity of decisions they are currently entertaining. They cannot fully address this concern empirically. Thus, they need some way to make predictions. The problem is that one rarely can predict exactly what will happen, only what might happen. To overcome this limitation, executives can be provided predictions of possible futures and the conditions under which each scenario is likely to emerge. Models can help them to understand these possible futures. Most executives find such candor refreshing, perhaps even liberating. Their job becomes one of imagining and designing a portfolio of possible futures, assisted by interactive computational models. Understanding and managing uncertainty is central to their job. Indeed, doing this better than competitors is a hallmark of success. This book is intended to help them understand what fundamentally needs to be done, why it needs to be done, and how to do it. The hope is that readers will discuss this book and develop a “shared mental model” of computational modeling in the process, which will greatly enhance their chances of success.

scholarly journals Glimpse: A Gaze-Based Measure of Temporal Salience

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3099
Author(s):  
V. Javier Traver ◽  
Judith Zorío ◽  
Luis A. Leiva
Keyword(s):  
Visual Attention ◽  
Computational Models ◽  
Temporal Evolution ◽  
Temporal Consistency ◽  
Visual Salience ◽  
Temporal Dimension ◽  
Spatial Perspective ◽  
Spatio Temporal ◽  
Scoring Algorithms ◽  
Over Time

Temporal salience considers how visual attention varies over time. Although visual salience has been widely studied from a spatial perspective, its temporal dimension has been mostly ignored, despite arguably being of utmost importance to understand the temporal evolution of attention on dynamic contents. To address this gap, we proposed Glimpse, a novel measure to compute temporal salience based on the observer-spatio-temporal consistency of raw gaze data. The measure is conceptually simple, training free, and provides a semantically meaningful quantification of visual attention over time. As an extension, we explored scoring algorithms to estimate temporal salience from spatial salience maps predicted with existing computational models. However, these approaches generally fall short when compared with our proposed gaze-based measure. Glimpse could serve as the basis for several downstream tasks such as segmentation or summarization of videos. Glimpse’s software and data are publicly available.

PENERAPAN TIPOLOGI PASAR, ARSITEKTUR DAN PERILAKU GENERASI Z PADA PERANCANGAN PASAR MASA DEPAN DI GONDANGDIA

2021 ◽  
Vol 3 (1) ◽  
pp. 995
Author(s):  
Irwin Irwin ◽  
Doddy Yuono
Keyword(s):  
Public Space ◽  
Emerging Market ◽  
Design Strategy ◽  
Public Spaces ◽  
Future Market ◽  
Generation Z ◽  
Equal Space ◽  
And Behavior ◽  
Changes Over Time ◽  
Over Time

The pandemic caused by the corona virus has changed the lifestyle of humans, both directly and indirectly, especially generation Z in Jakarta. The way humans meet their primary needs also changes over time. Many of generation Z decide to shop online to meet their individual needs. Generation Z defines balance as one of the things that is seen in living life, including meeting their needs and interacting with others. The Future Market in Gondangdia exists as a forum that provides space for buying and selling transactions to be more interactive, creative, flexible, and in accordance with health protocols. Through dis-programming, combining creative buying and selling programs and public space as one unit in a design is one of the methods used in designing architectural programs. The combination of the two programs creates an equal space with alternate uses depending on time. The emerging market typology method and its relation to Z generation architecture and behavior become a design strategy in designing. This provides an innovative and interactive buying and selling space according to the needs of generation Z. Keywords: Buy and sell spaces; Public spaces; Future markets; Generation Z; Buy and sell; Dis-programming AbstrakPandemi yang disebabkan oleh virus korona telah mengubah gaya hidup manusia, baik secara langsung maupun tidak langsung, khususnya generasi Z di Jakarta. Cara manusia dalam memenuhi kebutuhan primernya pun berubah seiring berjalannya waktu. Banyak dari generasi Z memutuskan untuk berbelanja online untuk memenuhi kebutuhannya masing-masing. Generasi Z mendefinisikan keseimbangan sebagai salah satu hal yang dilihat dalam menjalani kehiduoan termasuk dalam memenuhi kebutuhannya dan berinteraksi dengan sesamanya. Melalui dis-programming memadukan program jual beli kreatif dan ruang publik sebagai satu kesatuan di dalam sebuah desain merupakan salah satu metodw yang digunakan dalam perancangan program arsitektur. Perpaduan kedua program tersebut menciptakan sebuah ruang yang sama dengan penggunaanya bergantian tergantung oleh waktu. Metode tipologi pasar yang berkembang dan kaitannya dengan arsitektur dan perilaku generasi Z menjadi strategi desain dalam merancang. Hal ini memberikan ruang jual beli yang inovatif dan interaktif sesuai dengan kebutuhan generasi Z.

Incomplete grounding: the theory of symbolic separation is contradicted by pervasive stability in attitudes and behavior

2021 ◽  
Vol 44 ◽  
Author(s):  
Oleg Urminsky
Keyword(s):  
Psychological Variables ◽  
Multiple Domains ◽  
And Behavior ◽  
Attitudes And Behavior ◽  
Over Time

Abstract The proposed theory is broad enough to accommodate the reduction or elimination of prior influences by a variety of acts symbolizing separation (including cleansing). However, it does not account for stability in psychological variables, and is contradicted by widely documented stability in people's actual attitudes and behavior over time, in multiple domains, despite people's pervasive everyday acts of symbolic separation.

scholarly journals Recovery of neural dynamics criticality in personalized whole brain models of stroke

2020 ◽  
Author(s):  
Rodrigo P. Rocha ◽  
Loren Koçillari ◽  
Samir Suweis ◽  
Michele De Filippo De Grazia ◽  
Michel Thiebaut de Schotten ◽  
...  
Keyword(s):  
Neural Dynamics ◽  
Dynamical Models ◽  
Functional Architecture ◽  
Whole Brain ◽  
Optimal Response ◽  
Single Subjects ◽  
Optimal Function ◽  
Brain Models ◽  
And Behavior ◽  
Over Time

ABSTRACTThe critical brain hypothesis states that biological neuronal networks, because of their structural and functional architecture, work near phase transitions for optimal response to internal and external inputs. Criticality thus provides optimal function and behavioral capabilities. We test this hypothesis by examining the influence of brain injury (strokes) on the criticality of neural dynamics estimated at the level of single subjects using whole-brain models. Lesions engendered a sub-critical state that recovered over time in parallel with behavior. Notably, this improvement of criticality depended on the re-modeling of specific white matter connections. In summary, personalized whole-brain dynamical models poised at criticality track neural dynamics, alteration post-stroke, and behavior at the level of single subjects.

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