Investigating models of human performance
Bibliographic Data
| ID | 9619772 |
|---|---|
| Authors | Patrick Rabbitt (University of Manchester, corresponding author), P M A Rabbitt, Elizabeth A Maylor (0000-0001-6351-3434, University of Manchester) |
| Year | 1991 |
| Volume | 82 |
| Issue | 3 |
| Pages | 259-290 |
| Publication date | 1991-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | British Journal of Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0007-1269 • E-ISSN: 2044-8295 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.2044-8295.1991.tb02400.x |
| OpenAlex | W2105944384 |
| Language | EN |
| Citations received | 3 |
In Decision and Stress , Broadbent (1971) highlighted the deficiencies of steady‐state information‐processing systems and recommended a methodology for studying change and individual variability in human performance. Some implications of his approach are considered here by reviewing studies of the ways in which performance in choice reaction time, visual search and simple memory tasks is affected by individual differences in age and intelligence, by alcohol and by practice. The results are discussed in terms of the successes and limitations of five types of model: (1) ‘box‐and‐arrow’ information flow models, (2) ‘control‐process’ models, (3) algebraic models of decision latencies, (4) ‘single‐factor’ models derived from psychometrics, and (5) connectionist‐network models
Cognition · Cognitive psychology · Cognitive science · Connectionism · Information processing · Machine learning · Process (computing) · Artificial Intelligence · Cognitive Science and Mapping · Complex Systems and Decision Making · Computer Science · Mental Health Research Topics · Neuroscience · Psychology
| Citations per year | 0.1 |
|---|---|
| Citation span | 1995 - 2017 (23) |
| Highly cited | No |