Does being good at using cues help you learn new skills faster?
Students who were better at picking up and using meaningful cues in driving scenarios learned to land a simulated aircraft and fly a simulated drone more successfully.
Source
Trait-based cue Utilization and initial skill acquisition: implications for models of the progression to expertise
Study at a glance
- Design
- Cross-sectional — Two predictive correlational studies: a driving-based cue-utilization test followed in the same session by novel flight-simulator (Study 1) or UAV-simulator (Study 2) learning tasks.
- N
- Study 1: 51 students recruited, three excluded for missing data (15 higher and 33 lower cue users analysed); Study 2: 50 students.
- Population
- Licensed-driver university psychology students with no flight-simulator or remote-control aircraft experience
- Outcome
- Study 1: distance from runway target on the fourth landing; Study 2: proportion of successful UAV take-offs and landings and trials to criterion
Structured fields used in claim comparison tables when every cited study has a complete layer.
What they did
Novice students first completed EXPERTise, a computer test of how well they use driving-related cues (judging how strongly features relate to events, spotting a target in a busy scene, and rating which features matter in a scenario). In Study 1 they then made repeated landings in a light-aircraft simulator; in Study 2 they spent 15 minutes practising take-offs and landings of a simulated unmanned aerial vehicle (UAV), and also completed scales of sensory processing sensitivity and attentional control.
What they found
In Study 1, students classified as higher cue users landed closer to the target on the fourth trial than lower cue users, even after controlling for driving experience. In Study 2, higher cue utilization together with lower sensory processing sensitivity explained 30.3% of the variance in successful take-offs and 26.2% in successful landings; cue utilization alone predicted how quickly the take-off criterion was reached and whether the landing criterion was achieved. Video-game use, driving experience and attentional control did not add predictive value.
The limits
What it doesn't show
Both studies are correlational and short, measuring only a single session of early learning, so they cannot show that cue utilization causes faster skill acquisition or predicts eventual expertise. The samples were modest groups of young psychology students, and Study 1 grouped people into only two clusters (15 higher vs 33 lower). The authors note that without neurological evidence, the claim that EXPERTise measures cue use remains speculative, and the report is slightly inconsistent about whether four or five landing trials were run.
Key terms
- Cue utilization
- Using learned associations between features of a situation and likely events or objects to recognise situations and respond quickly.
- EXPERTise
- A situational judgement test battery that assesses cue utilization with paired association, feature identification and feature discrimination tasks.
- Skill acquisition
- The process of improving performance on a new task with practice, from novice toward competence and expertise.
- Sensory processing sensitivity
- A trait describing how strongly a person is affected by sensory input such as lights, sounds and busy environments.
- Trials to criterion
- The number of attempts needed before a learner reaches a preset standard, here three consecutive successful take-offs or landings.
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Quiz yourself
In which domain was cue utilization measured?
Common questions
Why measure cue use with driving if the task is flying?
The authors wanted to test whether cue utilization is a trait that transfers across related domains, so they measured it in a familiar context (driving) and used it to predict learning in an unfamiliar one.
Does this mean cue utilization tests should be used for pilot selection?
The authors suggest it could help selection and training, but the evidence comes from brief simulator sessions with students, so it would need validation with real trainees over longer periods.
Why control for driving experience?
Cue utilization should grow with exposure to a domain, so controlling for years of driving helps show that the cue measure predicts learning beyond simple experience.
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