Tootfinder

Modulation of metastable ensemble dynamics explains optimal coding at moderate arousal in auditory cortex
Lia Papadopoulos, Suhyun Jo, Kevin Zumwalt, Michael Wehr, David A. McCormick, Luca Mazzucato
https://arxiv.org/abs/2404.03902

Modulation of metastable ensemble dynamics explains optimal coding at moderate arousal in auditory cortex
Performance during perceptual decision-making exhibits an inverted-U relationship with arousal, but the underlying network mechanisms remain unclear. Here, we recorded from auditory cortex (A1) of behaving mice during passive tone presentation, while tracking arousal via pupillometry. We found that tone discriminability in A1 ensembles was optimal at intermediate arousal, revealing a population-level neural correlate of the inverted-U relationship. We explained this arousal-dependent coding usi…

There are adult-attracted normals.
There are child-attracted pedos.
There are a few pubescent-attracted hebephiles.
Sexual arousal is caused by bodies, not ages. There is no "age interest as a component in sexual orientation".

Exploring the dynamic interplay of cognitive load and emotional arousal by using multimodal measurements: Correlation of pupil diameter and emotional arousal in emotionally engaging tasks
C. Kosel, S. Michel, T. Seidel, M. Foerster
https://arxiv.org/abs/2403.00366

Exploring the dynamic interplay of cognitive load and emotional arousal by using multimodal measurements: Correlation of pupil diameter and emotional arousal in emotionally engaging tasks
Multimodal data analysis and validation based on streams from state-of-the-art sensor technology such as eye-tracking or emotion recognition using the Facial Action Coding System (FACTs) with deep learning allows educational researchers to study multifaceted learning and problem-solving processes and to improve educational experiences. This study aims to investigate the correlation between two continuous sensor streams, pupil diameter as an indicator of cognitive workload and FACTs with deep le…

Exploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation
Gianpaolo Alvari, Ersilia Vallefuoco, Melanie Cristofolini, Elio Salvadori, Marco Dianti, Alessia Moltani, Davide Dal Castello, Paola Venuti, Cesare Furlanello
https://arxiv.org/abs/2404.07159…

Exploring Physiological Responses in Virtual Reality-based Interventions for Autism Spectrum Disorder: A Data-Driven Investigation
Virtual Reality (VR) has emerged as a promising tool for enhancing social skills and emotional well-being in individuals with Autism Spectrum Disorder (ASD). Through a technical exploration, this study employs a multiplayer serious gaming environment within VR, engaging 34 individuals diagnosed with ASD and employing high-precision biosensors for a comprehensive view of the participants' arousal and responses during the VR sessions. Participants were subjected to a series of 3 virtual scenarios…

This https://arxiv.org/abs/2405.00322 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Characterizing Information Seeking Processes with Multiple Physiological Signals
Information access systems are getting complex, and our understanding of user behavior during information seeking processes is mainly drawn from qualitative methods, such as observational studies or surveys. Leveraging the advances in sensing technologies, our study aims to characterize user behaviors with physiological signals, particularly in relation to cognitive load, affective arousal, and valence. We conduct a controlled lab study with 26 participants, and collect data including Electrode…

American men hate themselves. They shouldn't.
They see images of women like this & feel sexual arousal. When told that 2 of those actresses were 16 at the time, they are horrified because in their minds that means they're vile pedo scum.

The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen, Stefanos Zafeiriou, Chunchang Shao, Guanyu Hu
https://arxiv.org/abs/2402.19344

The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th ABAW Competition addresses contemporary challenges in understanding human emotions and behaviors, crucial for the development of human-centered technologies. In more detail, the Competition focuses on affect related benchmarking tasks and comprises of five sub-challenges: i) Valence-Arousal Estimation (the target is to…

Investigating the Generalizability of Physiological Characteristics of Anxiety
Emily Zhou, Mohammad Soleymani, Maja J. Matari\'c
https://arxiv.org/abs/2402.15513

Investigating the Generalizability of Physiological Characteristics of Anxiety
Recent works have demonstrated the effectiveness of machine learning (ML) techniques in detecting anxiety and stress using physiological signals, but it is unclear whether ML models are learning physiological features specific to stress. To address this ambiguity, we evaluated the generalizability of physiological features that have been shown to be correlated with anxiety and stress to high-arousal emotions. Specifically, we examine features extracted from electrocardiogram (ECG) and electrode…

Emotional Voice Messages (EMOVOME) database: emotion recognition in spontaneous voice messages
Luc\'ia G\'omez Zaragoz\'aHUMAN-tech Institute, Universitat Polit\`enica de Val\`encia, Valencia, Spain, Roc\'io del AmorHUMAN-tech Institute, Universitat Polit\`enica de Val\`encia, Valencia, Spain, Elena Parra VargasHUMAN-tech Institute, Universitat Polit\`enica de Val\`encia, Valencia, Spain, Valery NaranjoHUMAN-tech Institute, Universitat Polit\`enica de Val\`encia, Valenc…

Emotional Voice Messages (EMOVOME) database: emotion recognition in spontaneous voice messages
Emotional Voice Messages (EMOVOME) is a spontaneous speech dataset containing 999 audio messages from real conversations on a messaging app from 100 Spanish speakers, gender balanced. Voice messages were produced in-the-wild conditions before participants were recruited, avoiding any conscious bias due to laboratory environment. Audios were labeled in valence and arousal dimensions by three non-experts and two experts, which were then combined to obtain a final label per dimension. The experts …

Characterizing Information Seeking Processes with Multiple Physiological Signals
Kaixin Ji, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina
https://arxiv.org/abs/2405.00322

Characterizing Information Seeking Processes with Multiple Physiological Signals
Information access systems are getting complex, and our understanding of user behavior during information seeking processes is mainly drawn from qualitative methods, such as observational studies or surveys. Leveraging the advances in sensing technologies, our study aims to characterize user behaviors with physiological signals, particularly in relation to cognitive load, affective arousal, and valence. We conduct a controlled lab study with 26 participants, and collect data including Electrode…

This https://arxiv.org/abs/2401.17709 has been replaced.
link: https://scholar.google.com/scholar?q=a

3DA: Assessing 3D-Printed Electrodes for Measuring Electrodermal Activity
Electrodermal activity (EDA) reflects changes in skin conductance, which are closely tied to human psychophysiological states. For example, EDA sensors can assess stress, cognitive workload, arousal, or other measures tied to the sympathetic nervous system for interactive human-centered applications. Yet, current limitations involve the complex attachment and proper skin contact with EDA sensors. This paper explores the concept of 3D printing electrodes for EDA measurements, integrating sensors…