2015
Esteves, Augusto, Bakker, Saskia, Antle, Alissa N., May, Aaron, Warren, Jillian, Oakley, Ian
The ATB Framework: Quantifying and Classifying Epistemic Strategies in Tangible Problem-Solving Tasks Proceedings Article
In: Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction, pp. 13–20, Association for Computing Machinery, Stanford, California, USA, 2015, ISBN: 9781450333054.
Abstract | Links | BibTeX | Tags: epistemic actions, event table, tangible interaction, video-coding
@inproceedings{10.1145/2677199.2680546,
title = {The ATB Framework: Quantifying and Classifying Epistemic Strategies in Tangible Problem-Solving Tasks},
author = {Augusto Esteves and Saskia Bakker and Alissa N. Antle and Aaron May and Jillian Warren and Ian Oakley},
url = {https://doi-org.proxy.lib.sfu.ca/10.1145/2677199.2680546},
doi = {10.1145/2677199.2680546},
isbn = {9781450333054},
year = {2015},
date = {2015-01-01},
urldate = {2015-01-01},
booktitle = {Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction},
pages = {13–20},
publisher = {Association for Computing Machinery},
address = {Stanford, California, USA},
series = {TEI '15},
abstract = {In task performance, pragmatic actions refer to behaviors that make direct progress, while epistemic actions involve altering the world so that cognitive processes are faster, more reliable or less taxing. Epistemic actions are frequently presented as a beneficial consequence of interacting with tangible systems. However, we currently lack tools to measure epistemic behaviors, making substantiating such claims highly challenging. This paper addresses this problem by presenting ATB, a video-coding framework that enables the identification and measurement of different epistemic actions during problem-solving tasks. The framework was developed through a systematic literature review of 78 papers, and analyzed through a study involving a jigsaw puzzle -- a classical spatial problem -- involving 60 participants. In order to assess the framework's value as a metric, we analyze the study with respect to its reliability, validity and predictive power. The broadly supportive results lead us to conclude that the ATB framework enables the use of observed epistemic behaviors as a performance metric for tangible systems. We believe that the development of metrics focused explicitly on the properties of tangible interaction are currently required to gain insight into the genuine and unique benefits of tangible interaction. The ATB framework is a step towards this goal.},
keywords = {epistemic actions, event table, tangible interaction, video-coding},
pubstate = {published},
tppubtype = {inproceedings}
}
In task performance, pragmatic actions refer to behaviors that make direct progress, while epistemic actions involve altering the world so that cognitive processes are faster, more reliable or less taxing. Epistemic actions are frequently presented as a beneficial consequence of interacting with tangible systems. However, we currently lack tools to measure epistemic behaviors, making substantiating such claims highly challenging. This paper addresses this problem by presenting ATB, a video-coding framework that enables the identification and measurement of different epistemic actions during problem-solving tasks. The framework was developed through a systematic literature review of 78 papers, and analyzed through a study involving a jigsaw puzzle -- a classical spatial problem -- involving 60 participants. In order to assess the framework's value as a metric, we analyze the study with respect to its reliability, validity and predictive power. The broadly supportive results lead us to conclude that the ATB framework enables the use of observed epistemic behaviors as a performance metric for tangible systems. We believe that the development of metrics focused explicitly on the properties of tangible interaction are currently required to gain insight into the genuine and unique benefits of tangible interaction. The ATB framework is a step towards this goal.
2014
Esteves, Augusto, Bakker, Saskia, Antle, Alissa N., May, Aaron, Warren, Jillian, Oakley, Ian
Classifying Physical Strategies in Tangible Tasks: A Video-Coding Framework for Epistemic Actions Proceedings Article
In: CHI '14 Extended Abstracts on Human Factors in Computing Systems, pp. 1843–1848, Association for Computing Machinery, Toronto, Ontario, Canada, 2014, ISBN: 9781450324748.
Abstract | Links | BibTeX | Tags: epistemic action, tangible interaction, video coding
@inproceedings{10.1145/2559206.2581185,
title = {Classifying Physical Strategies in Tangible Tasks: A Video-Coding Framework for Epistemic Actions},
author = {Augusto Esteves and Saskia Bakker and Alissa N. Antle and Aaron May and Jillian Warren and Ian Oakley},
url = {https://doi.org/10.1145/2559206.2581185},
doi = {10.1145/2559206.2581185},
isbn = {9781450324748},
year = {2014},
date = {2014-01-01},
booktitle = {CHI '14 Extended Abstracts on Human Factors in Computing Systems},
pages = {1843–1848},
publisher = {Association for Computing Machinery},
address = {Toronto, Ontario, Canada},
series = {CHI EA '14},
abstract = {Tangible interaction is a compelling interface paradigm that elegantly merges the fluency of physical manipulation with the flexibility of digital content. However, it is currently challenging to understand the real benefits and advantages of tangible systems. To address this problem, this paper argues that we need new evaluation techniques capable of meaningfully assessing how users perform with tangible, physical objects. Working towards this aim, it presents a video-coding framework that supports the granular identification of epistemic actions (physical actions that are made to simplify cognitive work) during tangible tasks. The framework includes 20 epistemic actions, identified through a systematic literature review of 77 sources. We argue that data generated by applying this process will help us better understand epistemic behavior and, ultimately, lead to the generation of novel, grounded design insights to support physically-grounded cognitive strategies in tangible tasks.},
keywords = {epistemic action, tangible interaction, video coding},
pubstate = {published},
tppubtype = {inproceedings}
}
Tangible interaction is a compelling interface paradigm that elegantly merges the fluency of physical manipulation with the flexibility of digital content. However, it is currently challenging to understand the real benefits and advantages of tangible systems. To address this problem, this paper argues that we need new evaluation techniques capable of meaningfully assessing how users perform with tangible, physical objects. Working towards this aim, it presents a video-coding framework that supports the granular identification of epistemic actions (physical actions that are made to simplify cognitive work) during tangible tasks. The framework includes 20 epistemic actions, identified through a systematic literature review of 77 sources. We argue that data generated by applying this process will help us better understand epistemic behavior and, ultimately, lead to the generation of novel, grounded design insights to support physically-grounded cognitive strategies in tangible tasks.