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In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
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Digital Phenotyping: an Epistemic and Methodological Analysis.

Simon Coghlan1, Simon D'Alfonso1

  • 1School of Computing & Information Systems, Faculty of Engineering and Information Technology, The University of Melbourne, Victoria, Australia.

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|November 17, 2021
PubMed
Summary
This summary is machine-generated.

Digital phenotyping offers insights into human psychology and behavior by analyzing digital data. Careful consideration of its epistemic and methodological aspects is crucial for accurate understanding and application.

Keywords:
Digital phenotypingEpistemicEthicsPhilosophyPsychologyScienceWellbeing

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Area of Science:

  • Psychology
  • Digital Health
  • Philosophy of Science

Background:

  • Digital phenotyping is proposed to revolutionize understanding of human psychology and wellbeing.
  • Existing literature primarily focuses on ethical implications, neglecting epistemic and methodological aspects.

Purpose of the Study:

  • To investigate the epistemic and methodological foundations of digital phenotyping.
  • To analyze the knowledge potential and limitations of digital phenotyping for understanding human psychology and behavior.

Main Methods:

  • Development of a tetra-taxonomy of knowledge acquisition scenarios from digital data ('digitypes').
  • Analysis of causal, correlative, and constitutive relations between digital information and psychological/behavioral phenomena.
  • Examination of inference modes within these scenarios.

Main Results:

  • Identified four scenarios for knowledge acquisition through digital phenotyping.
  • Digital phenotyping shows potential for insights into psychological states and new category discovery.
  • Highlighted risks of unwarranted conclusions and distorting effects in digital sensing.

Conclusions:

  • Digital phenotyping's promise hinges on accurate forecasting, diagnosis, causal explanation, and revealing constituents of human experience.
  • Requires careful attention to epistemic and methodological rigor to avoid misinterpretation.
  • Potential to advance psychological knowledge if limitations are addressed.