Perceptual (Re)learning: A Leverage Point for Human-Centered Computing

At least since Adrianus Dingeman de Groot conducted his pioneering work on the reasoning of chess masters, perceptual skill has been regarded as key to the advantage of experts. Here we explore the conjunction of two facts: 1. experts can perceive things that are invisible to the novice; 2. it takes...

Full description

Saved in:
Bibliographic Details
Published in:IEEE intelligent systems 2007-05, Vol.22 (3), p.79-83
Main Authors: Hoffman, R.R., Fiore, S.M.
Format: Article
Language:English
Subjects:
Amplification
Artificial intelligence
Chemicals
Chess
Cognition
Computation
Decontamination
Educational theory
Experts
Heart
Human
Human computer interaction
human-centered computing
Information technology
Microorganisms
Perceptions
Perceptual learning
perceptual relearning
Reasoning
Skills
Vegetation mapping
Vehicles
Weapons
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:At least since Adrianus Dingeman de Groot conducted his pioneering work on the reasoning of chess masters, perceptual skill has been regarded as key to the advantage of experts. Here we explore the conjunction of two facts: 1. experts can perceive things that are invisible to the novice; 2. it takes a decade or more for someone to become an expert in most significant domains; 3. this conjunction represents a leverage point for intelligent systems - not from the Turing Test perspective of building machines that emulate humans but from the human-centered computing (HCC) perspective of amplifying and extending human capabilities.
ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2007.59