The Second Self: Computers and the Human Spirit
Source: https://archive.org/details/secondselfcomput00turk ↗
Turkle brought psychoanalytic method to computer culture in the early 1980s, interviewing children, hackers, hobbyists, and AI researchers about what they thought they were doing when they sat in front of a screen.
The result is an ethnography of human-machine intimacy written before anyone had a reason to take the subject seriously.
She found that computers functioned as "evocative objects" — things people used to think about thinking, identity, and control — and that different people projected radically different meanings onto the same technology.
The book prefigured the entire contemporary debate about AI and subjectivity by four decades.
It remains the sharpest account of what happens psychologically when people begin to treat machines as minds.
Central argument
Turkle argues that computers are not merely tools but 'evocative objects' — artefacts that provoke reflection on identity, thought, and control, and that different users project radically different psychological meanings onto the same machine. Drawing on psychoanalytic method and ethnographic fieldwork with children, hackers, and AI researchers in the early 1980s, she shows that the relationship people form with computers is constitutive, not instrumental: the machine becomes a medium through which people negotiate their sense of self and agency. Her core finding is that human-computer interaction is never purely functional — it is always also a mirror, and what people see in it varies systematically with personality, culture, and context.
Critique
Turkle's psychoanalytic frame, while generative, risks over-privileging interiority and individual meaning-making at the expense of structural and material factors — class, access, institutional context — that shape who gets to form these intimate relationships with machines in the first place. The sample, concentrated among a relatively privileged, technically engaged population in the early American PC scene, limits the generalisability of her ethnographic claims. A reader might also argue that the depth-psychological lens makes it difficult to distinguish genuine psychological transformation from the kind of enthusiast projection that fades once a technology matures and becomes mundane.
Why it matters for product
The concept of computers as evocative objects is directly applicable to product discovery: when users describe what they want from a feature, they are often negotiating something psychological — control, competence, identity — rather than expressing a functional need, and conflating the two produces roadmaps that solve the wrong problem. For CPOs integrating AI into products, Turkle's framework is a warning: different user segments will project fundamentally different meanings onto the same AI capability, meaning that a single positioning or interaction model will feel empowering to some users and threatening or alienating to others. This argues for segmenting not just by behaviour or role but by the psychological stance users take toward machine agency — a dimension most product teams currently lack the vocabulary to measure.