2009
Antle, Alissa N., Droumeva, Milena, Ha, Daniel
Thinking with Hands: An Embodied Approach to the Analysis of Children's Interaction with Computational Objects Proceedings Article
In: CHI '09 Extended Abstracts on Human Factors in Computing Systems, pp. 4027–4032, Association for Computing Machinery, Boston, MA, USA, 2009, ISBN: 9781605582474.
Abstract | Links | BibTeX | Tags: children, complementary actions, epistemic actions, input methods, physical interaction, video analysis
@inproceedings{10.1145/1520340.1520612,
title = {Thinking with Hands: An Embodied Approach to the Analysis of Children's Interaction with Computational Objects},
author = {Alissa N. Antle and Milena Droumeva and Daniel Ha},
url = {https://doi.org/10.1145/1520340.1520612},
doi = {10.1145/1520340.1520612},
isbn = {9781605582474},
year = {2009},
date = {2009-01-01},
booktitle = {CHI '09 Extended Abstracts on Human Factors in Computing Systems},
pages = {4027–4032},
publisher = {Association for Computing Machinery},
address = {Boston, MA, USA},
series = {CHI EA '09},
abstract = {We present the theory and mixed methods approach for analyzing how children's hands can help them think during interaction with computational objects. The approach was developed for a study investigating the benefits of different input methods for object manipulation activities in digitally supported problem solving. We propose a classification scheme based on the notions of complementary and epistemic actions in spatial problem solving. In order to overcome inequities in number of access points when comparing different input methods, we develop a series of relative measures based on our classification scheme.},
keywords = {children, complementary actions, epistemic actions, input methods, physical interaction, video analysis},
pubstate = {published},
tppubtype = {inproceedings}
}
We present the theory and mixed methods approach for analyzing how children's hands can help them think during interaction with computational objects. The approach was developed for a study investigating the benefits of different input methods for object manipulation activities in digitally supported problem solving. We propose a classification scheme based on the notions of complementary and epistemic actions in spatial problem solving. In order to overcome inequities in number of access points when comparing different input methods, we develop a series of relative measures based on our classification scheme.