A model for investigating the effects of machine autonomy on human behavior

Jeffrey V. Nickerson, Richard R. Reilly

Research output: Contribution to journalConference articlepeer-review

17 Scopus citations

Abstract

As autonomous machines become more pervasive, situations will arise when human decision-makers will receive advice from both machines and other humans. When these instructions conflict, a new social situation is defined for which we have little precedent. The authors propose a model for investigating these situations. The model synthesizes research from several different fields, including machine autonomy, affect, initial trust, individual differences, and training. The model is explained, and a set of propositions is described. The model is used to analyze the case of an air collision in which machines and humans provided conflicting advice. The model is also applied to situations in which unmanned aerial vehicles and piloted aircraft seek to avoid collisions with each other. Ways of testing the model through human subject experiments are discussed.

Original languageEnglish
Article numberETSIB01
Pages (from-to)2057-2066
Number of pages10
JournalProceedings of the Hawaii International Conference on System Sciences
Volume37
DOIs
StatePublished - 2004
EventProceedings of the Hawaii International Conference on System Sciences - Big Island, HI., United States
Duration: 5 Jan 20048 Jan 2004

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