Mary Anna Thornton
Datos Biográficos
| ID | 94547 |
|---|---|
| NOMBRE | Mary Anna Thornton |
| NOMBRES | Mary Anna |
| APELLIDO | Thornton |
| FIRMA | THORNTON M A |
| AFILIACIONES | Dartmouth College |
| ORCID | 0000-0001-5985-3030 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAS | 15 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2003 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
Reframing the Performance and Ethics of Empathic AI
Recently, claims have emerged that artificial intelligence (AI) is better at providing empathy than humans. These claims are based on experiments in which large language models were prompted to generate empathic responses to short emotional passages. These responses, as well as analogous responses generated by human participants, were judged by third-party human raters. In several cases, the AI-generated responses were preferred to human response…
Deep neural network models of emotion understanding
Deep neural networks (DNNs) provide a useful computational framework for constructing cognitive models of emotion understanding. This paper provides a focused discussion of the use of DNNs in this context. It begins by defining three key components of emotion understanding - perception, prediction, and regulation - and discussing how each can be modelling using different deep learning architectures. It continues by positioning what DNN models can…
The conceptual structure of human relationships across modern and historical cultures
The Emerging Science of Interacting Minds
For over a century, psychology has focused on uncovering mental processes of a single individual. However, humans rarely navigate the world in isolation. The most important determinants of successful development, mental health, and our individual traits and preferences arise from interacting with other individuals. Social interaction underpins who we are, how we think, and how we behave. Here we discuss the key methodological challenges that have…
Individual differences in emotion prediction and implications for social success
The social world requires people to predict others' thoughts, feelings, and actions. People who successfully predict others' emotions experience significant social advantages. What makes a person good at predicting emotions? To predict others' future emotional states, a person must know how one emotion transitions to the next. People learn how emotions transition from at least two sources: (a) internal information, or one's own emotion experience…
How trait impressions of faces shape subsequent mental state inferences
Evidence for bidirectional causation between trait and mental state inferences
Six dimensions describe action understanding
Humans engage in a wide variety of different actions and activities. These range from simple motor actions like reaching for an object, to complex activities like governing a nation. Navigating everyday life requires people to make sense of this diversity of actions. We suggest that the mind simplifies this complex domain by attending primarily to the most essential features of actions. Using a parsimonious set of action dimensions, the mind can …
Accurate emotion prediction in dyads and groups and its potential social benefits
Emotion dynamics vary considerably from individual to individual and from group to group. Successful social interactions require people to track this moving target in order to anticipate the thoughts, feelings, and actions of others. In two studies, we test whether people track others' emotional idiosyncrasies to make accurate, target-specific emotion predictions. In both studies, participants predicted the emotion transitions of a specific targe…
Accurate Emotion Prediction in Dyads and Groups and its Potential Social Benefits
Emotion dynamics vary considerably from individual to individual and from group to group. Successful social interactions require people to track this moving target in order to anticipate the thoughts, feelings, and actions of others. In two studies, we test whether people track others’ emotional idiosyncrasies to make accurate, target-specific social predictions. In both studies, participants predicted the emotion transitions of a specific target…
Analysis of the Reliability of the Modified Caregiver Strain Index
The Modified CSI can be a useful method for detecting strain levels among informal caregivers, and is easily administered and scored. The CSI continues to be a useful measure of caregiver strain for long-term care research and practice
Analysis of the Reliability of the Modified Caregiver Strain Index
The Modified CSI can be a useful method for detecting strain levels among informal caregivers, and is easily administered and scored. The CSI continues to be a useful measure of caregiver strain for long-term care research and practice
Evidence for bidirectional causation between trait and mental state inferences
Analysis of the Reliability of the Modified Caregiver Strain Index
The Modified CSI can be a useful method for detecting strain levels among informal caregivers, and is easily administered and scored. The CSI continues to be a useful measure of caregiver strain for long-term care research and practice
Accurate Emotion Prediction in Dyads and Groups and its Potential Social Benefits
Emotion dynamics vary considerably from individual to individual and from group to group. Successful social interactions require people to track this moving target in order to anticipate the thoughts, feelings, and actions of others. In two studies, we test whether people track others’ emotional idiosyncrasies to make accurate, target-specific social predictions. In both studies, participants predicted the emotion transitions of a specific target…
Accurate emotion prediction in dyads and groups and its potential social benefits
Emotion dynamics vary considerably from individual to individual and from group to group. Successful social interactions require people to track this moving target in order to anticipate the thoughts, feelings, and actions of others. In two studies, we test whether people track others' emotional idiosyncrasies to make accurate, target-specific emotion predictions. In both studies, participants predicted the emotion transitions of a specific targe…
Six dimensions describe action understanding
Humans engage in a wide variety of different actions and activities. These range from simple motor actions like reaching for an object, to complex activities like governing a nation. Navigating everyday life requires people to make sense of this diversity of actions. We suggest that the mind simplifies this complex domain by attending primarily to the most essential features of actions. Using a parsimonious set of action dimensions, the mind can …
Evidence for bidirectional causation between trait and mental state inferences
The Emerging Science of Interacting Minds
For over a century, psychology has focused on uncovering mental processes of a single individual. However, humans rarely navigate the world in isolation. The most important determinants of successful development, mental health, and our individual traits and preferences arise from interacting with other individuals. Social interaction underpins who we are, how we think, and how we behave. Here we discuss the key methodological challenges that have…
Individual differences in emotion prediction and implications for social success
The social world requires people to predict others' thoughts, feelings, and actions. People who successfully predict others' emotions experience significant social advantages. What makes a person good at predicting emotions? To predict others' future emotional states, a person must know how one emotion transitions to the next. People learn how emotions transition from at least two sources: (a) internal information, or one's own emotion experience…
How trait impressions of faces shape subsequent mental state inferences
Deep neural network models of emotion understanding
Deep neural networks (DNNs) provide a useful computational framework for constructing cognitive models of emotion understanding. This paper provides a focused discussion of the use of DNNs in this context. It begins by defining three key components of emotion understanding - perception, prediction, and regulation - and discussing how each can be modelling using different deep learning architectures. It continues by positioning what DNN models can…
The conceptual structure of human relationships across modern and historical cultures
Reframing the Performance and Ethics of Empathic AI
Recently, claims have emerged that artificial intelligence (AI) is better at providing empathy than humans. These claims are based on experiments in which large language models were prompted to generate empathic responses to short emotional passages. These responses, as well as analogous responses generated by human participants, were judged by third-party human raters. In several cases, the AI-generated responses were preferred to human response…
Psychology (9 obras) · Cognitive psychology (8 obras) · Social Psychology (7 obras) · Computer Science (5 obras) · Mental Health Research Topics (5 obras) · Social Psychology (4 obras) · Cognitive science (3 obras) · Developmental psychology (3 obras) · Evolutionary Psychology and Human Behavior (3 obras) · Feeling (3 obras)