“Because a robot's brain hasn't got a brain, it just controls itself” — Children's attributions of brain related behaviour to intelligent artefacts

Educational settings have seen an increased presence of intelligent artefacts. Objects such as computers and robots take up new positions along the animate-inanimate continuum due to their substantive “cognitive” and “sensori-motor” repertoires including for example an ability to engage with a diversity of problem-solving tasks and having a memory. In the present study we report children's understanding of a variety of stimulus objects with different anthropomorphic features, including a person, robot, computer and doll. Attributional judgements were elicited from 60 children aged 5–11 and a comparison group of adults. Children were asked for judgements (and justifications) whether the above objects were capable of realising a large number of items drawn from 6 major behavioural categories (e.g., involuntary activity). The data, show that the different objects did not generally elicit substantially different justification patterns. The exception to this is a clear developmental pattern in terms of an increased understanding of the nature of clever artefacts. Results are discussed in terms of different forms of causal reasoning and the specific nature of the act of programming in terms of a growing understanding of the behaviour of intelligent artefacts.RésuméLes situations éducatives utilisent de plus en plus d' “artefacts” intelligents. Les objets tels que les ordinateurs et les robots occupent une place particulière sur le continuum animé-inanimé du fait de leurs répertoires “cognitif” et “sensori-moteur”. Ils sont par exemple dotés d'une mémoire et capables de traiter une grande diversité de tâches en résolution de problèmes. La recherche présentée concerne la compréhension qu'ont les enfants d'une variété d'objets-stimulus présentant différentes caractéristiques anthropomorphiques: une personne, un robot, un ordinateur et une poupée. On a sollicité les jugements attributifs de 60 enfants âgés de 5 à 11 ans et comparé ces jugements à ceux d'un groupe d'adultes. On a demandé aux enfants de juger (avec justifications) la capacité des objets ci-dessus à avoir toute une série de comportements regroupés en six catégories principales (par ex. agir involontairement). Les données montrent que, d'une façon générale, les différents objets ne sont pas à l'origine de différences substantielles dans les patterns de justifications. On observe cependant une nette évolution liée à l'âge de la compréhension de la nature des “artefacts” intelligents. Les résultats sont discutés en termes de différentes formes de raisonnement causal. La nature spécifique des actes de programmation est discutée en termes d'accroissement de la compréhension du comportement des artefacts intelligents.

[1]  P. Kroonenberg,et al.  The relative effects of maternal and child problems on the quality of attachment: a meta-analysis of attachment in clinical samples. , 1992, Child development.

[2]  M. Scaife,et al.  How do children represent intelligent technology? , 1995 .

[3]  G. Hatano,et al.  Young children's understanding of the mind-body distinction. , 1993, Child development.

[4]  I. Contento Children's thinking about food and eating—A piagetian-based study , 1981 .

[5]  M. Boden Arti cial Intelligence and Natural Man , 1977 .

[6]  R. Gelman,et al.  Preschooler's Ability to Decide Whether a Photographed Unfamiliar Object Can Move Itself. , 1988 .

[7]  Mike van Duuren,et al.  Do computers have brains ? What children believe about intelligent artifacts , 1995 .

[8]  C N Johnson,et al.  Children's developing conceptions of the mind and brain. , 1982, Child development.

[9]  J. Piaget,et al.  The Child's Conception of the World , 1971 .

[10]  H. Wimmer,et al.  Beliefs about beliefs: Representation and constraining function of wrong beliefs in young children's understanding of deception , 1983, Cognition.

[11]  E GELLERT,et al.  Children's conceptions of the content and functions of the human body. , 1962, Genetic psychology monographs.

[12]  S. Carey Conceptual Change in Childhood , 1985 .

[13]  Pieter M. Kroonenberg,et al.  Cross-cultural patterns of attachment: A meta-analysis of the strange situation. , 1988 .

[14]  Jacob Cohen,et al.  Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. , 1968 .

[15]  Mike Van Duuren The use of intelligent technology at home and at school: what do parents think? , 1994, Br. J. Educ. Technol..

[16]  R. E. Schutz,et al.  Rethinking evaluation design for nutrition education programs , 1981 .

[17]  D. Frye,et al.  Object-person discrimination and communication at 3 and 10 months , 1983 .

[18]  J. Searle,et al.  Is the brain's mind a computer program? , 1990, Scientific American.

[19]  G. Hatano,et al.  Young children's naive theory of biology , 1994, Cognition.

[20]  M. Legerstee A review of the animate-inanimate distinction in infancy: Implications for models of social and cognitive knowing , 1992 .

[21]  J. Piaget The construction of reality in the child , 1954 .

[22]  S. Gelman,et al.  Preschoolers' Ability to Distinguish Living Kinds as a Function of Regrowth , 1993 .

[23]  E. Spelke,et al.  The development of thoughts about animate and inanimate objects: Implications for research in social cognition , 1981 .

[24]  R. Clarke,et al.  Theory and Applications of Correspondence Analysis , 1985 .

[25]  F. Keil Concepts, Kinds, and Cognitive Development , 1989 .