Studies // Cited work

Affective computing

Picard, R. W. (1997). Affective computing.

Level E Book

What this study supports

Supports the historical claim that affective computing was framed as a research field in 1997. It is not evidence that emotion can be validly inferred from signals.

Who was studied
Not applicable: a monograph defining the field of affective computing.
Design
Book
Level of evidence
Theory, classical and historical texts, records and software: no empirical claim of their own.

Claims that rest on it

Each claim states what the site asserts, at what strength, and with what caveat.

TheoreticalLevel DConfidence MODERATE

Affective computing, framed as a research field in 1997, builds systems on contested models of emotion and proxy data, and these choices shape the ethical and social implications of emotion-AI systems.

Scope
Emotion-recognition and emotion-AI systems in general.
Caveat
A conceptual argument, not an audit of specific products.

Last reviewed · Review due · emotion-ai-contested-models