Details
| Original language | English |
|---|---|
| Pages (from-to) | 267-280 |
| Number of pages | 14 |
| Journal | Ecological psychology |
| Volume | 25 |
| Issue number | 3 |
| Publication status | Published - Jul 2013 |
Abstract
One of the main challenges of writing research has been its generative nature. As a production task, writing cannot be controlled as easily as other psychological laboratory tasks, such as reading. In this article, we present an analysis of 3 writing tasks, ranging from a simplified typing task to an ecological writing task. We show that multiple nonlinear metrics can be used to systematically characterize open, complex writing tasks. Moreover, we demonstrate that, when writing performance is quantified in such a way, a continuum of complexity can be identified on which increasingly complex writing performances can be placed.
ASJC Scopus subject areas
- Psychology(all)
- Social Psychology
- Computer Science(all)
- General Computer Science
- Agricultural and Biological Sciences(all)
- Ecology, Evolution, Behavior and Systematics
- Psychology(all)
- Experimental and Cognitive Psychology
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In: Ecological psychology, Vol. 25, No. 3, 07.2013, p. 267-280.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Typewriting Dynamics
T2 - What Distinguishes Simple From Complex Writing Tasks?
AU - Wallot, Sebastian
AU - Grabowski, Joachim
N1 - Funding information: Sebastian Wallot acknowledges funding by the Marie-Curie Initial Training Network, “TESIS: Towards an Embodied Science of InterSubjectivity” (FP7-PEOPLE-2010-ITN, 264828).
PY - 2013/7
Y1 - 2013/7
N2 - One of the main challenges of writing research has been its generative nature. As a production task, writing cannot be controlled as easily as other psychological laboratory tasks, such as reading. In this article, we present an analysis of 3 writing tasks, ranging from a simplified typing task to an ecological writing task. We show that multiple nonlinear metrics can be used to systematically characterize open, complex writing tasks. Moreover, we demonstrate that, when writing performance is quantified in such a way, a continuum of complexity can be identified on which increasingly complex writing performances can be placed.
AB - One of the main challenges of writing research has been its generative nature. As a production task, writing cannot be controlled as easily as other psychological laboratory tasks, such as reading. In this article, we present an analysis of 3 writing tasks, ranging from a simplified typing task to an ecological writing task. We show that multiple nonlinear metrics can be used to systematically characterize open, complex writing tasks. Moreover, we demonstrate that, when writing performance is quantified in such a way, a continuum of complexity can be identified on which increasingly complex writing performances can be placed.
UR - http://www.scopus.com/inward/record.url?scp=84880810572&partnerID=8YFLogxK
U2 - 10.1080/10407413.2013.810512
DO - 10.1080/10407413.2013.810512
M3 - Article
AN - SCOPUS:84880810572
VL - 25
SP - 267
EP - 280
JO - Ecological psychology
JF - Ecological psychology
SN - 1040-7413
IS - 3
ER -