2009
Alissa N. Antle, Milena Droumeva, Daniel Ha. 2009. Hands on What? Comparing Children's Mouse-Based and Tangible-Based Interaction Proceedings Article . In Proceedings of the 8th International Conference on Interaction Design and Children, IDC '09 Association for Computing Machinery, Como, Italy, 80–88, .
Abstract | BibTeX | Tags: children, comparative experiment, digital tabletop, embodied interaction, evaluation, input methods, interaction styles, jigsaw puzzle, Methodology, object manipulation, tangible computing, tangible interaction, video analysis
@inproceedings{10.1145/1551788.1551803,
title = {Hands on What? Comparing Children's Mouse-Based and Tangible-Based Interaction},
author = {Alissa N. Antle and Milena Droumeva and Daniel Ha},
url = {https://doi-org.proxy.lib.sfu.ca/10.1145/1551788.1551803},
doi = {10.1145/1551788.1551803},
isbn = {9781605583952},
year = {2009},
date = {2009-01-01},
booktitle = {Proceedings of the 8th International Conference on Interaction Design and Children},
pages = {80–88},
publisher = {Association for Computing Machinery},
address = {Como, Italy},
series = {IDC '09},
abstract = {We investigate the similarities and differences -- in terms of quantitative performance and qualitative behaviors -- between how children solve an object manipulation task using mouse-based input versus tangible-based input. This work examines the assumption common in tangible computing that direct physical manipulation is beneficial for certain spatial tasks. We describe an ecologically valid comparison of mouse-based versus tangible-based input for a jigsaw puzzle task in order to better understand the tradeoffs in choosing input and interaction styles. We include a traditional cardboard puzzle for comparative purposes. The results of an experiment with 132 children indicate children are more successful and faster at solving puzzles using a tangible-based approach. Detailed temporal analysis indicates that pairs in the tangible group spend most of their time using a combination of epistemic and pragmatic actions which support mental problem solving. Conversely, pairs in the mouse group use an ineffective trial and error strategy.},
keywords = {children, comparative experiment, digital tabletop, embodied interaction, evaluation, input methods, interaction styles, jigsaw puzzle, Methodology, object manipulation, tangible computing, tangible interaction, video analysis},
pubstate = {published},
tppubtype = {inproceedings}
}
We investigate the similarities and differences -- in terms of quantitative performance and qualitative behaviors -- between how children solve an object manipulation task using mouse-based input versus tangible-based input. This work examines the assumption common in tangible computing that direct physical manipulation is beneficial for certain spatial tasks. We describe an ecologically valid comparison of mouse-based versus tangible-based input for a jigsaw puzzle task in order to better understand the tradeoffs in choosing input and interaction styles. We include a traditional cardboard puzzle for comparative purposes. The results of an experiment with 132 children indicate children are more successful and faster at solving puzzles using a tangible-based approach. Detailed temporal analysis indicates that pairs in the tangible group spend most of their time using a combination of epistemic and pragmatic actions which support mental problem solving. Conversely, pairs in the mouse group use an ineffective trial and error strategy.
Alissa N. Antle, Milena Droumeva, Daniel Ha. 2009. 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, CHI EA '09 Association for Computing Machinery, Boston, MA, USA, 4027–4032, .
Abstract | 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.