Inclusion in human–machine interactions

• Published in: Science (American Association for the Advancement of Science) Vol. 375; no. 6577; pp. 149 - 150
• Main Authors: Reid, Tahira, Gibert, James
• Format: Journal Article
• Language: English
• Published: United States The American Association for the Advancement of Science 14.01.2022
• Subjects: Algorithms; Bias, Implicit; Computer applications; Control equipment; Culture; Ethnicity; Face recognition; Female; Humans; Industrial Development; Instrument panels; Male; Man-Machine Systems; Pattern recognition; Racial Groups; Social Class; Socioeconomic Factors; Technology; Virtual reality
• ISSN: 0036-8075; 1095-9203; 1095-9203
• DOI: 10.1126/science.abf2618

Human–machine interactions research should include diverse subjects and benefit all people Human–machine interactions (HMIs) describe how humans engage various systems, including those that are smart, autonomous, or both. Most HMIs either allow the human to control the machine (an instrument panel), allow the machine to obtain data (a heart monitor), or even both (a virtual reality setup). HMIs may be placed in three broad classes. In one class, the individual is active in the interaction—that is, the individual is the user or purchaser of a technology such as an automobile. In another class, the user is passive but consenting in the interaction—that is, the interaction occurs with their consent, such as the use of devices for medical diagnosis. There is also a class in which the user is passive and nonconsenting in the interaction, such as the use of facial recognition for law enforcement purposes.