Card, Moran, and Newell keystroke-level model
E874569
The Card, Moran, and Newell keystroke-level model is a predictive human–computer interaction framework that estimates expert user task completion times by decomposing actions into low-level operations like keystrokes, mouse movements, and mental preparation.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Card, Moran, and Newell keystroke-level model canonical | 1 |
| Keystroke-Level Model | 1 |
| Keystroke-Level Model of user performance | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10602352 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Card, Moran, and Newell keystroke-level model Context triple: [Stuart K. Card, notableWork, Card, Moran, and Newell keystroke-level model]
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A.
An interactive activation model of context effects in letter perception
"An interactive activation model of context effects in letter perception" is a seminal cognitive psychology paper that introduced a computational model explaining how letter and word recognition are influenced by both bottom-up sensory input and top-down contextual information.
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B.
Human Behavior and the Principle of Least Effort
"Human Behavior and the Principle of Least Effort" is a seminal 1949 book by linguist George Kingsley Zipf that proposes people naturally minimize effort in language and behavior, helping explain patterns such as Zipf’s law in word frequencies.
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C.
Conversational Monitor System (CMS)
Conversational Monitor System (CMS) is an interactive, single-user operating environment and command shell within IBM's VM family, used primarily for program development, text editing, and running applications.
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D.
The Universal Computer
The Universal Computer is a book by mathematician and logician Martin Davis that traces the history and development of the concept of computation and the universal Turing machine.
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E.
Unified Theories of Cognition
Unified Theories of Cognition is a comprehensive cognitive science framework proposed by Allen Newell that seeks to explain diverse mental processes—such as problem solving, memory, and learning—within a single, unified theoretical architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Card, Moran, and Newell keystroke-level model Target entity description: The Card, Moran, and Newell keystroke-level model is a predictive human–computer interaction framework that estimates expert user task completion times by decomposing actions into low-level operations like keystrokes, mouse movements, and mental preparation.
-
A.
An interactive activation model of context effects in letter perception
"An interactive activation model of context effects in letter perception" is a seminal cognitive psychology paper that introduced a computational model explaining how letter and word recognition are influenced by both bottom-up sensory input and top-down contextual information.
-
B.
Human Behavior and the Principle of Least Effort
"Human Behavior and the Principle of Least Effort" is a seminal 1949 book by linguist George Kingsley Zipf that proposes people naturally minimize effort in language and behavior, helping explain patterns such as Zipf’s law in word frequencies.
-
C.
Conversational Monitor System (CMS)
Conversational Monitor System (CMS) is an interactive, single-user operating environment and command shell within IBM's VM family, used primarily for program development, text editing, and running applications.
-
D.
The Universal Computer
The Universal Computer is a book by mathematician and logician Martin Davis that traces the history and development of the concept of computation and the universal Turing machine.
-
E.
Unified Theories of Cognition
Unified Theories of Cognition is a comprehensive cognitive science framework proposed by Allen Newell that seeks to explain diverse mental processes—such as problem solving, memory, and learning—within a single, unified theoretical architecture.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
GOMS family model
ⓘ
human–computer interaction model ⓘ predictive model ⓘ |
| abbreviation | KLM NERFINISHED ⓘ |
| alsoKnownAs | Keystroke-Level Model NERFINISHED ⓘ |
| appliesTo |
command-based interfaces
ⓘ
form-filling tasks ⓘ graphical user interfaces ⓘ |
| assumes |
error-free performance
ⓘ
expert user ⓘ routine tasks ⓘ |
| basedOn | decomposition of tasks into low-level operators ⓘ |
| coreOperator |
H (homing between keyboard and pointing device)
ⓘ
K (keystroke or button press) ⓘ M (mental preparation) ⓘ P (pointing with a pointing device) ⓘ R (system response) ⓘ |
| creator |
Allen Newell
NERFINISHED
ⓘ
Stuart K. Card NERFINISHED ⓘ Thomas P. Moran NERFINISHED ⓘ |
| field |
cognitive ergonomics
ⓘ
human factors ⓘ human–computer interaction ⓘ |
| granularity | low-level motor and cognitive operations ⓘ |
| influenced |
later GOMS variants
ⓘ
model-based evaluation methods in HCI ⓘ |
| influencedBy |
cognitive psychology
ⓘ
human information processing models ⓘ |
| introducedInWorkBy | Card, Moran, and Newell NERFINISHED ⓘ |
| limitation |
best suited for expert, routine behavior
ⓘ
does not model errors ⓘ does not model learning ⓘ |
| operatorType |
drawing
ⓘ
homing ⓘ keystroke ⓘ mental preparation ⓘ pointing ⓘ system response time ⓘ |
| originatesFrom | The Psychology of Human-Computer Interaction NERFINISHED ⓘ |
| partOf | GOMS (Goals, Operators, Methods, and Selection rules) framework NERFINISHED ⓘ |
| publicationYear | 1983 ⓘ |
| purpose |
compare alternative interface designs
ⓘ
evaluate user interface efficiency ⓘ predict expert user task completion time ⓘ |
| requires | detailed task specification at the operator level ⓘ |
| timeEstimationMethod | sum of operator times ⓘ |
| timeUnit | seconds ⓘ |
| typicalUse | predicting time to execute a specific interaction method ⓘ |
| usedFor |
performance prediction
ⓘ
task analysis ⓘ usability engineering ⓘ |
How these facts were elicited
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You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Card, Moran, and Newell keystroke-level model Description of subject: The Card, Moran, and Newell keystroke-level model is a predictive human–computer interaction framework that estimates expert user task completion times by decomposing actions into low-level operations like keystrokes, mouse movements, and mental preparation.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.