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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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The Dark Art of Dopamine Engineering

Authors: Ruohonen, Jukka; Ramadan, Dr. Qusai; Alami, Adam;

The Dark Art of Dopamine Engineering

Abstract

The paper presents a rapid review on what can be called---for a lack of a better term---dopamine engineering; the design of software, including but not limited to user interfaces, in a way that stimulates dopamine releases in the brains of the software's users. According to the results, (i)~the topic is interdisciplinary, covering not only computer science and software engineering but also neuroscience, psychology, medicine and life sciences in general, and law, among other disciplines, and the topics examined range from digital mental health and neuroethics to education, video games, and artificial intelligence. By and large, but not entirely, (ii) dopamine engineering has been discussed in relation to its negative consequences, including digital addiction. In addition, (iii) numerous factual statements are raised in the literature but evidence seems scant. Finally, (iv) law and ethics have occasionally been addressed but not in a systematic manner. The last two results justify a wording about dark art; not much is known about the topic according to the review results.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green