Emotional Decision-Making Biases Prediction in Cyber-Physical Systems
This article faces the challenge of discovering the trends in decision-making based on capturing emotional data and the influence of the possible external stimuli. We conducted an experiment with a significant sample of the workforce and used machine-learning techniques to model the decision-making...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-08-01
|
| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/3/3/49 |
| _version_ | 1811307274017177600 |
|---|---|
| author | Alberto Corredera Marta Romero Jose M. Moya |
| author_facet | Alberto Corredera Marta Romero Jose M. Moya |
| author_sort | Alberto Corredera |
| collection | DOAJ |
| description | This article faces the challenge of discovering the trends in decision-making based on capturing emotional data and the influence of the possible external stimuli. We conducted an experiment with a significant sample of the workforce and used machine-learning techniques to model the decision-making process. We studied the trends introduced by the emotional status and the external stimulus that makes these personnel act or report to the supervisor. The main result of this study is the production of a model capable of predicting the bias to act in a specific context. We studied the relationship between emotions and the probability of acting or correcting the system. The main area of interest of these issues is the ability to influence in advance the personnel to make their work more efficient and productive. This would be a whole new line of research for the future. |
| first_indexed | 2024-04-13T09:01:33Z |
| format | Article |
| id | doaj.art-e6b5494ae4a24d338b9c70e650ba7b1c |
| institution | Directory Open Access Journal |
| issn | 2504-2289 |
| language | English |
| last_indexed | 2024-04-13T09:01:33Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Big Data and Cognitive Computing |
| spelling | doaj.art-e6b5494ae4a24d338b9c70e650ba7b1c2022-12-22T02:53:08ZengMDPI AGBig Data and Cognitive Computing2504-22892019-08-01334910.3390/bdcc3030049bdcc3030049Emotional Decision-Making Biases Prediction in Cyber-Physical SystemsAlberto Corredera0Marta Romero1Jose M. Moya2Integrated Systems Laboratory, Center for Computational Simulation, Universidad Politécnica de Madrid, 28040 Madrid, SpainIntegrated Systems Laboratory, Center for Computational Simulation, Universidad Politécnica de Madrid, 28040 Madrid, SpainIntegrated Systems Laboratory, Center for Computational Simulation, Universidad Politécnica de Madrid, 28040 Madrid, SpainThis article faces the challenge of discovering the trends in decision-making based on capturing emotional data and the influence of the possible external stimuli. We conducted an experiment with a significant sample of the workforce and used machine-learning techniques to model the decision-making process. We studied the trends introduced by the emotional status and the external stimulus that makes these personnel act or report to the supervisor. The main result of this study is the production of a model capable of predicting the bias to act in a specific context. We studied the relationship between emotions and the probability of acting or correcting the system. The main area of interest of these issues is the ability to influence in advance the personnel to make their work more efficient and productive. This would be a whole new line of research for the future.https://www.mdpi.com/2504-2289/3/3/49machine-learningdecision-makingemotion regulationhuman errorPsychologydata analytics |
| spellingShingle | Alberto Corredera Marta Romero Jose M. Moya Emotional Decision-Making Biases Prediction in Cyber-Physical Systems Big Data and Cognitive Computing machine-learning decision-making emotion regulation human error Psychology data analytics |
| title | Emotional Decision-Making Biases Prediction in Cyber-Physical Systems |
| title_full | Emotional Decision-Making Biases Prediction in Cyber-Physical Systems |
| title_fullStr | Emotional Decision-Making Biases Prediction in Cyber-Physical Systems |
| title_full_unstemmed | Emotional Decision-Making Biases Prediction in Cyber-Physical Systems |
| title_short | Emotional Decision-Making Biases Prediction in Cyber-Physical Systems |
| title_sort | emotional decision making biases prediction in cyber physical systems |
| topic | machine-learning decision-making emotion regulation human error Psychology data analytics |
| url | https://www.mdpi.com/2504-2289/3/3/49 |
| work_keys_str_mv | AT albertocorredera emotionaldecisionmakingbiasespredictionincyberphysicalsystems AT martaromero emotionaldecisionmakingbiasespredictionincyberphysicalsystems AT josemmoya emotionaldecisionmakingbiasespredictionincyberphysicalsystems |