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Classifying physical strategies in tangible tasks: a video-coding framework for epistemic actions

Esteves, Augusto; Bakker, Saskia; Antle, Alissa N.; May, Aaron; Warren, Jillian; Oakley, Ian

Authors

Augusto Esteves

Saskia Bakker

Alissa N. Antle

Aaron May

Jillian Warren

Ian Oakley



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.

Citation

Esteves, A., Bakker, S., Antle, A. N., May, A., Warren, J., & Oakley, I. (2014, April). Classifying physical strategies in tangible tasks: a video-coding framework for epistemic actions. Presented at 32nd annual ACM conference on Human factors in computing systems - CHI EA '14, Toronto, Ontario, Canada

Presentation Conference Type Conference Paper (published)
Conference Name 32nd annual ACM conference on Human factors in computing systems - CHI EA '14
Start Date Apr 26, 2014
End Date May 1, 2014
Online Publication Date Apr 1, 2014
Publication Date 2014
Deposit Date Jul 21, 2017
Publisher Association for Computing Machinery (ACM)
Pages 1843-1848
Book Title Proceeding CHI EA '14 CHI '14 Extended Abstracts on Human Factors in Computing Systems
ISBN 9781450324748
DOI https://doi.org/10.1145/2559206.2581185
Keywords Classifying, tangible tasks, video-coding, framework,
Public URL http://researchrepository.napier.ac.uk/Output/964913