File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

OakleyIan

Oakley, Ian
Interactions Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace CN -
dc.citation.conferencePlace Toronto -
dc.citation.endPage 1848 -
dc.citation.startPage 1843 -
dc.citation.title 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014 -
dc.contributor.author Esteves, Augusto -
dc.contributor.author May, Aaron -
dc.contributor.author Bakker, Saskia -
dc.contributor.author Warren, Jillian -
dc.contributor.author Antle, Alissa -
dc.contributor.author Oakley, Ian -
dc.date.accessioned 2023-12-20T00:07:25Z -
dc.date.available 2023-12-20T00:07:25Z -
dc.date.created 2014-05-29 -
dc.date.issued 2014-04-26 -
dc.description.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. -
dc.identifier.bibliographicCitation 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014, pp.1843 - 1848 -
dc.identifier.doi 10.1145/2559206.2581185 -
dc.identifier.scopusid 2-s2.0-84900564399 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/46643 -
dc.identifier.url https://dl.acm.org/citation.cfm?doid=2559206.2581185 -
dc.language 영어 -
dc.publisher 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014 -
dc.title Classifying physical strategies in tangible tasks: A video-coding framework for epistemic actions -
dc.type Conference Paper -
dc.date.conferenceDate 2014-04-26 -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.