Modelling alternative strategies for mental rotation

David Peebles

Modelling alternative strategies for mental rotation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

I present two models of mental rotation created within the ACT-R theory of cognition, each of which implements one of the two main strategies identified in the literature. A holistic strategy rotates mental images as a whole unit whereas piecemeal strategy decomposes the mental image into pieces and rotates them individually. Both models provide a close fit to human response time data from a recent study of mental rotation strategies conducted by Khooshabeh, Hegarty, and Shipley (2013). This work provides an account of human mental rotation data and in so doing, tests a new proposal for representing and processing spatial information to model mental imagery in ACT-R.

Original language	English
Title of host publication	Proceedings of the ICCM 2019
Subtitle of host publication	17th International Conference on Cognitive Modelling
Editors	Terrance C. Stewart
Publisher	Applied Cognitive Science Lab
Number of pages	6
ISBN (Print)	9780998508238
Publication status	Published - Oct 2019
Event	17th International Conference on Cognitive Modelling - Montreal, Canada Duration: 19 Jul 2019 → 22 Jul 2019 Conference number: 17 http://iccm-conference.org/

Conference

Conference	17th International Conference on Cognitive Modelling
Abbreviated title	ICCM2019
Country/Territory	Canada
City	Montreal
Period	19/07/19 → 22/07/19
Internet address	http://iccm-conference.org/

Access to Document

act-r-mental-rotationFinal published version, 274 KBLicence: Unspecified

Cite this

@inproceedings{6875490f0eec46bbbc4ecaed3e256f19,

title = "Modelling alternative strategies for mental rotation",

abstract = "I present two models of mental rotation created within the ACT-R theory of cognition, each of which implements one of the two main strategies identified in the literature. A holistic strategy rotates mental images as a whole unit whereas piecemeal strategy decomposes the mental image into pieces and rotates them individually. Both models provide a close fit to human response time data from a recent study of mental rotation strategies conducted by Khooshabeh, Hegarty, and Shipley (2013). This work provides an account of human mental rotation data and in so doing, tests a new proposal for representing and processing spatial information to model mental imagery in ACT-R.",

keywords = "Mental imagery, Cognitive architectures, ACT-R, Mental rotation",

author = "David Peebles",

year = "2019",

month = oct,

language = "English",

isbn = "9780998508238",

editor = "Stewart, {Terrance C.}",

booktitle = "Proceedings of the ICCM 2019",

publisher = "Applied Cognitive Science Lab",

address = "United States",

note = "17th International Conference on Cognitive Modelling, ICCM2019 ; Conference date: 19-07-2019 Through 22-07-2019",

url = "http://iccm-conference.org/",

}

TY - GEN

T1 - Modelling alternative strategies for mental rotation

AU - Peebles, David

N1 - Conference code: 17

PY - 2019/10

Y1 - 2019/10

N2 - I present two models of mental rotation created within the ACT-R theory of cognition, each of which implements one of the two main strategies identified in the literature. A holistic strategy rotates mental images as a whole unit whereas piecemeal strategy decomposes the mental image into pieces and rotates them individually. Both models provide a close fit to human response time data from a recent study of mental rotation strategies conducted by Khooshabeh, Hegarty, and Shipley (2013). This work provides an account of human mental rotation data and in so doing, tests a new proposal for representing and processing spatial information to model mental imagery in ACT-R.

AB - I present two models of mental rotation created within the ACT-R theory of cognition, each of which implements one of the two main strategies identified in the literature. A holistic strategy rotates mental images as a whole unit whereas piecemeal strategy decomposes the mental image into pieces and rotates them individually. Both models provide a close fit to human response time data from a recent study of mental rotation strategies conducted by Khooshabeh, Hegarty, and Shipley (2013). This work provides an account of human mental rotation data and in so doing, tests a new proposal for representing and processing spatial information to model mental imagery in ACT-R.

KW - Mental imagery

KW - Cognitive architectures

KW - ACT-R

KW - Mental rotation

UR - http://mathpsych.org/conferences/2019/

UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085478432&partnerID=40&md5=3c2f04f4f76eb7cb729870d8f1c79576

UR - http://iccm-conference.org/

M3 - Conference contribution

SN - 9780998508238

BT - Proceedings of the ICCM 2019

A2 - Stewart, Terrance C.

PB - Applied Cognitive Science Lab

T2 - 17th International Conference on Cognitive Modelling

Y2 - 19 July 2019 through 22 July 2019

ER -

Modelling alternative strategies for mental rotation

Abstract

Conference

Access to Document

Other files and links

Fingerprint