PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait [PDF]
arXiv, 2023 Psychological trait estimation from external factors such as movement and appearance is a challenging and long-standing problem in psychology, and is principally based on the psychological theory of embodiment. To date, attempts to tackle this problem have utilized private small-scale datasets with intrusive body-attached sensors.
arxiv
Towards the development of Dynamic Networked Psychology Hypotheses [PDF]
arXiv, 2023 Individual and community psychology plays an important role in disaster management as human behavior exhibit diverse risk perceptions, recognition of the threats that exists, positive and negative emotions, panic, anger, rumor, stress and learned helplessness.
arxiv
Survey and Perspective on Social Emotions in Robotics [PDF]
, 2021 This study reviews research on social emotions in robotics. In robotics, the study of emotions has been pursued for a long time, including the study of their recognition, expression, and computational modeling of the basic mechanisms which underlie them.
arxiv +1 more source
See Your Heart: Psychological states Interpretation through Visual Creations [PDF]
arXiv, 2023 In psychoanalysis, generating interpretations to one's psychological state through visual creations is facing significant demands. The two main tasks of existing studies in the field of computer vision, sentiment/emotion classification and affective captioning, can hardly satisfy the requirement of psychological interpreting.
arxiv
AGENT: A Benchmark for Core Psychological Reasoning [PDF]
arXiv, 2021 For machine agents to successfully interact with humans in real-world settings, they will need to develop an understanding of human mental life. Intuitive psychology, the ability to reason about hidden mental variables that drive observable actions, comes naturally to people: even pre-verbal infants can tell agents from objects, expecting agents to act
arxiv
Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020) [PDF]
, 2020 In this study, we reported our exploration of Text-To-Speech without Text (TTS without T) in the Zero Resource Speech Challenge 2020, in which participants proposed an end-to-end, unsupervised system that learned speech recognition and TTS together. We addressed the challenge using biologically/psychologically motivated modules of Artificial Neural ...
arxiv +1 more source
Toward an Insider Threat Education Platform: A Theoretical Literature Review [PDF]
2024 IEEE International Conference on Computer and Applications
(ICCA-24)Insider threats (InTs) within organizations are small in number but have a disproportionate ability to damage systems, information, and infrastructure. Existing InT research studies the problem from psychological, technical, and educational perspectives.
arxiv +1 more source
Grounding Psychological Shape Space in Convolutional Neural Networks [PDF]
arXiv, 2021 Shape information is crucial for human perception and cognition, and should therefore also play a role in cognitive AI systems. We employ the interdisciplinary framework of conceptual spaces, which proposes a geometric representation of conceptual knowledge through low-dimensional interpretable similarity spaces. These similarity spaces are often based
arxiv
SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations [PDF]
arXiv, 2023 Large language models (LLMs) have been widely applied in various fields due to their excellent capability for memorizing knowledge and chain of thought (CoT). When these language models are applied in the field of psychological counseling, they often rush to provide universal advice.
arxiv
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing [PDF]
arXiv, 2022 Residual networks have shown great success and become indispensable in today's deep models. In this work, we aim to re-investigate the training process of residual networks from a novel social psychology perspective of loafing, and further propose a new training strategy to strengthen the performance of residual networks.
arxiv