IEEE Transactions on Affective Computing

IEEE Transactions on Affective Computing(英文缩写 IEEE T AFFECT COMPUT),ISSN 1949-3045,eISSN 1949-3045 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

指标来源：jcr_cas_ifqb

历年影响因子趋势

IEEE Transactions on Affective Computing 最新收录文献

1. A New Perspective on Stress Detection: An Automated Approach for Detecting Eustress and Distress.
   Mohamad Awada, Burcin Becerik-Geber, Gale M Lucas, Shawn C Roll, Ruying Liu
   IEEE transactions on affective computing 2023 IF: 11.30 Q1 PMID: 39421725

   Previous studies have solely focused on establishing Machine Learning (ML) models for automated detection of stress arousal. However, these studies do not recognize stress appraisal and presume stress…

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2. Multimodal Feature Selection for Detecting Mothers' Depression in Dyadic Interactions with their Adolescent Offspring.
   Maneesh Bilalpur, Saurabh Hinduja, Laura A Cariola, Lisa B Sheeber, Nick Allen, László A Jeni
   IEEE transactions on affective computing 2023 IF: 11.30 Q1 PMID: 39296877

   Depression is the most common psychological disorder, a leading cause of disability world-wide, and a major contributor to inter-generational transmission of psychopathology within families. To contri…

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3. Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment.
   Seong-Gyun Leem, Daniel Fulford, Jukka-Pekka Onnela, David Gard, Carlos Busso
   IEEE transactions on affective computing IF: 11.30 Q1 PMID: 42023408

   (SER) systems often struggle in real-world environments, where ambient noise severely degrades their performance. This paper explores a novel approach that exploits prior knowledge of testing environm…

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4. Datasets of Smartphone Modalities for Depression Assessment: A Scoping Review.
   M L Tlachac, Michael V Heinz, Anastasia C Bryan, Arielle LaPreay, Geri Louise Dimas, Tingting Zhao
   IEEE transactions on affective computing IF: 11.30 Q1 PMID: 41415603

   As mobile sensing research for depression assessment is rapidly expanding, it is vital to uncover fundamental patterns and overarching limitations in the datasets available for such research, especial…

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5. Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals in Social Contexts on Zoom.
   Emma R Toner, Mark Rucker, Zhiyuan Wang, Maria A Larrazabal, Lihua Cai, Debajyoti Datta
   IEEE transactions on affective computing IF: 11.30 Q1 PMID: 40927232

   Correctly identifying an individual's social context from passively worn sensors holds promise for delivering just-in-time adaptive interventions (JITAIs) to treat social anxiety. In this study, we pr…

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6. Mechanoreceptive Aβ primary afferents discriminate naturalistic social touch inputs at a functionally relevant time scale.
   Shan Xu, Steven C Hauser, Saad S Nagi, James A Jablonski, Merat Rezaei, Ewa Jarocka
   IEEE transactions on affective computing IF: 11.30 Q1 PMID: 40881843

   Interpersonal touch is an important channel of social emotional interaction. How these physical skin-to-skin touch expressions are processed in the peripheral nervous system is not well understood. Fr…

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7. Emotion Recognition in the Real-World: Passively Collecting and Estimating Emotions from Natural Speech Data of Individuals with Bipolar Disorder.
   Emily Mower Provost, Sarah H Sperry, James Tavernor, Steve Anderau, Anastasia Yocum, Melvin G McInnis
   IEEE transactions on affective computing IF: 11.30 Q1 PMID: 40842655

   Emotions provide critical information regarding a person's health and well-being. Therefore, the ability to track emotion and patterns in emotion over time could provide new opportunities in measuring…

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8. Multimodal Prediction of Obsessive-Compulsive Disorder and Comorbid Depression Severity and Energy Delivered by Deep Brain Electrodes.
   Saurabh Hinduja, Ali Darzi, Itir Onal Ertugrul, Nicole Provenza, Ron Gadot, Eric A Storch
   IEEE transactions on affective computing IF: 11.30 Q1 PMID: 39687201

   To develop reliable, valid, and efficient measures of obsessive-compulsive disorder (OCD) severity, comorbid depression severity, and total electrical energy delivered (TEED) by deep brain stimulation…

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9. Automated Classification of Dyadic Conversation Scenarios using Autonomic Nervous System Responses.
   Iman Chatterjee, Maja Goršič, Mohammad S Hossain, Joshua D Clapp, Vesna D Novak
   IEEE transactions on affective computing IF: 11.30 Q1 PMID: 38107015

   Two people's physiological responses become more similar as those people talk or cooperate, a phenomenon called physiological synchrony. The degree of synchrony correlates with conversation engagement…

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10. Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study.
    Hojjat Abdollahi, Mohammad H Mahoor, Rohola Zandie, Jarid Siewierski, Sara H Qualls
    IEEE transactions on affective computing IF: 11.30 Q1 PMID: 37840968

    This paper presents our recent research on integrating artificial emotional intelligence in a social robot (Ryan) and studies the robot's effectiveness in engaging older adults. Ryan is a socially ass…

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