Humans anthropomorphize: as a result of our evolved ultrasociality, we see the world through person-colored glasses. In this review, I suggest that an interesting proportion of the extraordinary tool-using abilities shown by humans results from our mistakenly anthropomorphizing and forming social relationships with objects and devices. I introduce the term machination to describe this error, sketch an outline of the evidence for it, tie it to intrinsic reward for social interaction, and use it to help explain overimitation—itself posited as underpinning human technological complexity—by human children and adults. I also suggest pathways for testing the concept’s presence and limits, with an explicit focus on context-specific individual and temporal variation. I posit cognitive pressure from time constraints or opaque mechanisms as a cause for machination, with rapid, subconscious attribution of goals or desires to tools reducing cognitive overload. Machination holds promise for understanding how we create and use combinatorial technology, for clarifying differences with nonhuman animal tool use, and for examining the human fascination with objects.
Professor at George Washington University
I am a Professor with Human-Technology Collaboration and Educational Technology programs at George Washington University in Washington DC. I have written 12 books and more than 100 articles, and I co-host of the Parsing Science podcast where scientists tell the stories behind their research. I am also the developer of the WeShareScience.com online platform for sharing research videos, and SciencePods.com where researchers can create free podcasts about their science. My research interests include human interactions with intelligent machines, needs, needs assessments, and instructional design.
Latest posts by Ryan Watkins (see all)
- AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap - September 22, 2023
- The Robotic Herd: Using Human-Bot Interactions to Explore Irrational Herding - September 22, 2023
- Human-AI Interactions and Societal Pitfalls - September 19, 2023