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Related Experiment Video

Updated: Oct 6, 2025

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
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Inclusion in human-machine interactions.

Tahira Reid1, James Gibert1

  • 1School of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, IN, USA.

Science (New York, N.Y.)
|January 13, 2022
PubMed
Summary
This summary is machine-generated.

Human-machine interaction research must involve diverse participants to ensure technologies benefit everyone equally. This inclusive approach is crucial for equitable technological advancement and societal well-being.

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Area of Science:

  • Human-Computer Interaction (HCI)
  • Sociotechnical Systems
  • Inclusive Design

Background:

  • Current human-machine interaction (HMI) research often lacks diversity in study populations.
  • This can lead to technologies that do not serve all user groups effectively.
  • Ensuring representation is key for equitable technological development.

Purpose of the Study:

  • To advocate for the inclusion of diverse subjects in HMI research.
  • To emphasize the ethical imperative for HMI to benefit all people.
  • To promote a more equitable future in technology development.

Main Methods:

  • This study is a conceptual analysis and literature review.
  • It synthesizes existing research on diversity and inclusion in technology.
  • It frames ethical considerations for HMI research design.

Main Results:

  • Diverse subject inclusion is foundational for robust and generalizable HMI findings.
  • Technologies developed without diverse input risk exacerbating societal inequalities.
  • Ethical HMI research prioritizes broad societal benefit over narrow user group optimization.

Conclusions:

  • Human-machine interaction research must actively recruit and study diverse populations.
  • The ultimate goal of HMI should be to create technologies that empower and benefit all individuals.
  • Adopting inclusive practices ensures that technological progress serves humanity equitably.