Integrative biological, cognitive and affective modeling of caffeine use on stress

Rosaline E. de Haan; Minke Blankert; Seyed Sahand Mohammadi Ziabari

doi:10.1007/978-3-030-23887-2_9

Integrative biological, cognitive and affective modeling of caffeine use on stress

Rosaline E. de Haan, Minke Blankert, Seyed Sahand Mohammadi Ziabari^*

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In this paper a computational model of the effect of caffeine on cortisol and brain activity levels is presented. Using integrative modelling in a temporal-causal network model approach, this paper aims to dynamically model the biological, cognitive and affective processes that are enhanced in the brain while consuming coffee. Firstly, stress stimuli from the individuals’ context conduct an (affective) stressful feeling. Therefore, the individual (cognitive) decides to drink coffee that increases its caffeine levels and makes the individual feel more focused wherefore the individual relaxes. Thirdly, (biologically) it is modeled how caffeine intake by drinking coffee reduces stress levels due to feeling more relaxed.

Original language	English
Title of host publication	Distributed Computing and Artificial Intelligence, 16th International Conference
Editors	Francisco Herrera, Kenji Matsui, Sara Rodríguez-González
Publisher	Springer
Pages	71-78
Number of pages	8
ISBN (Electronic)	9783030238872
ISBN (Print)	9783030238865
DOIs	https://doi.org/10.1007/978-3-030-23887-2_9
Publication status	Published - 2020
Event	16th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2019 - Ávila, Spain Duration: 26 Jun 2019 → 28 Jun 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
Volume	1003
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	16th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2019
Country/Territory	Spain
City	Ávila
Period	26/06/19 → 28/06/19

Keywords

Affective
Biological
Caffeine
Cognitive
Integrative temporal-causal network model
Stress

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10.1007/978-3-030-23887-2_9

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de Haan, R. E., Blankert, M., & Mohammadi Ziabari, S. S. (2020). Integrative biological, cognitive and affective modeling of caffeine use on stress. In F. Herrera, K. Matsui, & S. Rodríguez-González (Eds.), Distributed Computing and Artificial Intelligence, 16th International Conference (pp. 71-78). (Advances in Intelligent Systems and Computing; Vol. 1003). Springer. https://doi.org/10.1007/978-3-030-23887-2_9

de Haan, Rosaline E. ; Blankert, Minke ; Mohammadi Ziabari, Seyed Sahand. / Integrative biological, cognitive and affective modeling of caffeine use on stress. Distributed Computing and Artificial Intelligence, 16th International Conference. editor / Francisco Herrera ; Kenji Matsui ; Sara Rodríguez-González. Springer, 2020. pp. 71-78 (Advances in Intelligent Systems and Computing).

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title = "Integrative biological, cognitive and affective modeling of caffeine use on stress",

abstract = "In this paper a computational model of the effect of caffeine on cortisol and brain activity levels is presented. Using integrative modelling in a temporal-causal network model approach, this paper aims to dynamically model the biological, cognitive and affective processes that are enhanced in the brain while consuming coffee. Firstly, stress stimuli from the individuals{\textquoteright} context conduct an (affective) stressful feeling. Therefore, the individual (cognitive) decides to drink coffee that increases its caffeine levels and makes the individual feel more focused wherefore the individual relaxes. Thirdly, (biologically) it is modeled how caffeine intake by drinking coffee reduces stress levels due to feeling more relaxed.",

keywords = "Affective, Biological, Caffeine, Cognitive, Integrative temporal-causal network model, Stress",

author = "{de Haan}, {Rosaline E.} and Minke Blankert and {Mohammadi Ziabari}, {Seyed Sahand}",

year = "2020",

doi = "10.1007/978-3-030-23887-2_9",

language = "English",

isbn = "9783030238865",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "71--78",

editor = "Francisco Herrera and Kenji Matsui and Sara Rodr{\'i}guez-Gonz{\'a}lez",

booktitle = "Distributed Computing and Artificial Intelligence, 16th International Conference",

note = "16th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2019 ; Conference date: 26-06-2019 Through 28-06-2019",

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de Haan, RE, Blankert, M & Mohammadi Ziabari, SS 2020, Integrative biological, cognitive and affective modeling of caffeine use on stress. in F Herrera, K Matsui & S Rodríguez-González (eds), Distributed Computing and Artificial Intelligence, 16th International Conference. Advances in Intelligent Systems and Computing, vol. 1003, Springer, pp. 71-78, 16th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2019, Ávila, Spain, 26/06/19. https://doi.org/10.1007/978-3-030-23887-2_9

Integrative biological, cognitive and affective modeling of caffeine use on stress. / de Haan, Rosaline E.; Blankert, Minke; Mohammadi Ziabari, Seyed Sahand.
Distributed Computing and Artificial Intelligence, 16th International Conference. ed. / Francisco Herrera; Kenji Matsui; Sara Rodríguez-González. Springer, 2020. p. 71-78 (Advances in Intelligent Systems and Computing; Vol. 1003).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Integrative biological, cognitive and affective modeling of caffeine use on stress

AU - de Haan, Rosaline E.

AU - Blankert, Minke

AU - Mohammadi Ziabari, Seyed Sahand

PY - 2020

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N2 - In this paper a computational model of the effect of caffeine on cortisol and brain activity levels is presented. Using integrative modelling in a temporal-causal network model approach, this paper aims to dynamically model the biological, cognitive and affective processes that are enhanced in the brain while consuming coffee. Firstly, stress stimuli from the individuals’ context conduct an (affective) stressful feeling. Therefore, the individual (cognitive) decides to drink coffee that increases its caffeine levels and makes the individual feel more focused wherefore the individual relaxes. Thirdly, (biologically) it is modeled how caffeine intake by drinking coffee reduces stress levels due to feeling more relaxed.

AB - In this paper a computational model of the effect of caffeine on cortisol and brain activity levels is presented. Using integrative modelling in a temporal-causal network model approach, this paper aims to dynamically model the biological, cognitive and affective processes that are enhanced in the brain while consuming coffee. Firstly, stress stimuli from the individuals’ context conduct an (affective) stressful feeling. Therefore, the individual (cognitive) decides to drink coffee that increases its caffeine levels and makes the individual feel more focused wherefore the individual relaxes. Thirdly, (biologically) it is modeled how caffeine intake by drinking coffee reduces stress levels due to feeling more relaxed.

KW - Affective

KW - Biological

KW - Caffeine

KW - Cognitive

KW - Integrative temporal-causal network model

KW - Stress

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BT - Distributed Computing and Artificial Intelligence, 16th International Conference

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de Haan RE, Blankert M, Mohammadi Ziabari SS. Integrative biological, cognitive and affective modeling of caffeine use on stress. In Herrera F, Matsui K, Rodríguez-González S, editors, Distributed Computing and Artificial Intelligence, 16th International Conference. Springer. 2020. p. 71-78. (Advances in Intelligent Systems and Computing). Epub 2019 Jun 22. doi: 10.1007/978-3-030-23887-2_9

Integrative biological, cognitive and affective modeling of caffeine use on stress

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