Structure, space and time: Some ways that diagrams affect inferences in a planning task

David L. Mason; James E. Corter; Barbara Tversky; Jeffrey V. Nickerson

doi:10.1007/978-3-642-31223-6_28

Structure, space and time: Some ways that diagrams affect inferences in a planning task

David L. Mason, James E. Corter, Barbara Tversky, Jeffrey V. Nickerson

School of Business

Columbia University

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

An efficient way to notify a set of people is to use a calling tree, where one person calls a few people who call others until everyone has been notified. Calling trees are typical of a large class of planning tasks that entail considering both the structure of agents and tasks in time. Participants were asked to choose the optimal diagram for a calling tree problem, and to compute the time needed to call everyone. Participants computed more accurately when the tree diagrams were scaled to represent elapsed time as well as the connection structure of the callers. In addition to efficiency, both gestalt factors and social equity considerations biased selection of the best diagram.

Original language	English
Pages (from-to)	277-290
Number of pages	14
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7352 LNAI
DOIs	https://doi.org/10.1007/978-3-642-31223-6_28
State	Published - 2012
Event	7th International Conference on the Theory and Application of Diagrams, Diagrams 2012 - Canterbury, United Kingdom Duration: 2 Jul 2012 → 6 Jul 2012

Keywords

comprehension
diagram understanding
inference
planning
representing time

Access to Document

10.1007/978-3-642-31223-6_28

Cite this

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abstract = "An efficient way to notify a set of people is to use a calling tree, where one person calls a few people who call others until everyone has been notified. Calling trees are typical of a large class of planning tasks that entail considering both the structure of agents and tasks in time. Participants were asked to choose the optimal diagram for a calling tree problem, and to compute the time needed to call everyone. Participants computed more accurately when the tree diagrams were scaled to represent elapsed time as well as the connection structure of the callers. In addition to efficiency, both gestalt factors and social equity considerations biased selection of the best diagram.",

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Structure, space and time: Some ways that diagrams affect inferences in a planning task. / Mason, David L.; Corter, James E.; Tversky, Barbara et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7352 LNAI, 2012, p. 277-290.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Structure, space and time

T2 - 7th International Conference on the Theory and Application of Diagrams, Diagrams 2012

AU - Mason, David L.

AU - Corter, James E.

AU - Tversky, Barbara

AU - Nickerson, Jeffrey V.

PY - 2012

Y1 - 2012

N2 - An efficient way to notify a set of people is to use a calling tree, where one person calls a few people who call others until everyone has been notified. Calling trees are typical of a large class of planning tasks that entail considering both the structure of agents and tasks in time. Participants were asked to choose the optimal diagram for a calling tree problem, and to compute the time needed to call everyone. Participants computed more accurately when the tree diagrams were scaled to represent elapsed time as well as the connection structure of the callers. In addition to efficiency, both gestalt factors and social equity considerations biased selection of the best diagram.

AB - An efficient way to notify a set of people is to use a calling tree, where one person calls a few people who call others until everyone has been notified. Calling trees are typical of a large class of planning tasks that entail considering both the structure of agents and tasks in time. Participants were asked to choose the optimal diagram for a calling tree problem, and to compute the time needed to call everyone. Participants computed more accurately when the tree diagrams were scaled to represent elapsed time as well as the connection structure of the callers. In addition to efficiency, both gestalt factors and social equity considerations biased selection of the best diagram.

KW - comprehension

KW - diagram understanding

KW - inference

KW - planning

KW - representing time

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DO - 10.1007/978-3-642-31223-6_28

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SN - 0302-9743

VL - 7352 LNAI

SP - 277

EP - 290

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Y2 - 2 July 2012 through 6 July 2012

ER -

Structure, space and time: Some ways that diagrams affect inferences in a planning task

Abstract

Keywords

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