About this Research Topic
The intersection of neuroscience, economics, and psychology has led to tremendous growth in both scholarly and popular interest. Decision neuroscience helps us understand the neural basis of decision-making. Following the development of new technologies and methods, especially machine learning and AI, the complex relationships between brain activities and decision behaviors have become particularly promising. Subjective well-being (SWB) is one, highly relevant perspective, that bridges individual emotions experienced within the brain and resulting human decision behaviors.
The focus of this Research Topic is on the relationship between SWB and decision analytics. Recent advances mean that this topic encompasses neurological and other biological data, cutting-edge psychometrics, and a range of secondary data that can now be integrated through modern analytical methods. Data acquisition becomes easier through machine learning and AI, for example, deep learning and large language models like ChatGPT. Realistic behavioral data can now be gathered and integrated using highly immersive, virtual simulations, and integrated as part of the same analyses. The current Research Topic provides an impetus to position the resulting studies, and to ensure that it informs approaches to important, real-world behaviors of decisions.
More specifically, we particularly focus on the following topics of interest include but are not limited to:
- Empirical findings on the neural basis of human decision behaviors related to SWB;
- Theoretical treatments of SWB and human behaviors including economic modeling, psychological modeling, AI modeling, etc.;
- Conceptualization, operationalization, and measurement of SWB and human decision behaviors;
- Methodological advancements and development of new assessment instruments on SWB or decision neuroscience;
- Machine learning and large language models for SWB and decision analysis;
- Applications of affective computing on decision neuroscience and SWB.
We welcome the submission of Original Researches, Methods, as well as Review articles on the dynamics and mechanisms of SWB and human decision behaviors. Contributions studying relevant topics from both quantitative and qualitative fields, such as applied economics, social psychology, and neuroscience are welcome. Please note that studies related to human behaviors are considered, which excludes those of animals. In general, pure empirical studies should contain robust quantitative analysis and/or innovative methodological elements, not simply demonstrations in a different computational dataset.
The focus of this Research Topic is on the relationship between SWB and decision analytics. Recent advances mean that this topic encompasses neurological and other biological data, cutting-edge psychometrics, and a range of secondary data that can now be integrated through modern analytical methods. Data acquisition becomes easier through machine learning and AI, for example, deep learning and large language models like ChatGPT. Realistic behavioral data can now be gathered and integrated using highly immersive, virtual simulations, and integrated as part of the same analyses. The current Research Topic provides an impetus to position the resulting studies, and to ensure that it informs approaches to important, real-world behaviors of decisions.
More specifically, we particularly focus on the following topics of interest include but are not limited to:
- Empirical findings on the neural basis of human decision behaviors related to SWB;
- Theoretical treatments of SWB and human behaviors including economic modeling, psychological modeling, AI modeling, etc.;
- Conceptualization, operationalization, and measurement of SWB and human decision behaviors;
- Methodological advancements and development of new assessment instruments on SWB or decision neuroscience;
- Machine learning and large language models for SWB and decision analysis;
- Applications of affective computing on decision neuroscience and SWB.
We welcome the submission of Original Researches, Methods, as well as Review articles on the dynamics and mechanisms of SWB and human decision behaviors. Contributions studying relevant topics from both quantitative and qualitative fields, such as applied economics, social psychology, and neuroscience are welcome. Please note that studies related to human behaviors are considered, which excludes those of animals. In general, pure empirical studies should contain robust quantitative analysis and/or innovative methodological elements, not simply demonstrations in a different computational dataset.
Keywords: Subjective well-being (SWB), decision, decision neuroscience, human decision making, behavioral decision making
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
