Interviews reveal human-machine relationships impact work experiences, implying the importance of machine heuristics in various industries.
Machines are now commonplace work partners and Human-Machine Communication (HMC) is part of modern work. Guided by the machine heuristic and Social Exchange Theory (SET) this paper uses interviews with 22 workers to explore the socio-technical relationships between humans and machines at work. Participants worked with complex machines across a wide variety of industries and roles and findings reveal participants see machines as part of the work ecosystem, develop everyday machine heuristics to guide repeated interactions with machines, and that elements of human uniqueness persist in evaluations of humans and machines. Discussion points emphasize situated and developing human-machine interaction scripts, the value and limits of social theory to HMC interaction, and illuminate socio-technical exchange as an emergent theory.
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Piercy et al. (2025) studied this question.
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