Paper Info
Title
What Baboons, Babies And Tetris Players Tell Us About Interaction: A Biosocial View Of Norm-Based Social Learning
Abstract
Could androids use movements to build relationships'? For people, relationships are created with the help of behaviour-shaping norms, which infants begin to discover and manipulate by the third month. To build relationships, machines can also learn to exploit human reactions in real-time decision-making. In the video game Tetris, for example, affect co-opts computer-generated patterns to simplify cognitive tasks: norms mediate what Kirsh and Maglio (Cognitive Sci., 18, pp. 513-549, 1994) term epistemic actions, which allow implicit knowledge to shape key pressing in ways that, given past games, are likely to be informative and valuable. Expert players act to change their cognitive states by allowing the game's higher-level states to constrain their lower-level actions. Since this process enables the development of expertise, we might expect it to be widespread; but it seems marginal in hamadryas baboons, although they use affect and complex norms. In humans, by contrast, infants use adults as cognitive resources in developing their epistemic abilities. This has engineering implications for android designers. Since androids can elicit epistemic actions, engineers need to develop an affect sensitive inter-face. If successful at this, even rudimentary co-action may prompt people to report experiencing androids as both making choices and violating expectations.
Year
DOI
Venue
2006
10.1080/09540090600879703
CONNECTION SCIENCE
Keywords
Field
DocType
cognitive development, epistemic action, distributed cognition, human-robot interaction, intersubjectivity
Cognitive resource theory,Computer science,Cognitive science,Elementary cognitive task,Norm (social),Intersubjectivity,Social learning,Artificial intelligence,Biosocial theory,Cognition,Cognitive development,Machine learning
Journal
Volume
Issue
ISSN
18
4
0954-0091
Citations 
PageRank 
References 
11
1.33
20
Authors
2
Name
Order
Citations
PageRank
Stephen J. Cowley13210.60
Karl F. MacDorman280554.92