2017 IEEE Global Engineering Education Conference (EDUCON) 2017
DOI: 10.1109/educon.2017.7943028
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Explaining multi-threaded task scheduling using tangible user interfaces in higher educational contexts

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Cited by 8 publications
(2 citation statements)
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“…Whilst the adoption of this visual-recognition toolkit facilitated the development of tabletop implementations, construction and setup of TUI architectures still require the costly procurement of specialized cameras and projectors to obtain a suitable educational setup [21]. Furthermore, the inherent nature of tabletop architectures poses a limit on the number of students that can collaboratively interact with the TUI system, thus constraining usability to only small cohorts of students [24]. This audience limitation was partially addressed using vertical peripherals in TUI setups.…”
Section: Tangible User Interfacesmentioning
confidence: 99%
“…Whilst the adoption of this visual-recognition toolkit facilitated the development of tabletop implementations, construction and setup of TUI architectures still require the costly procurement of specialized cameras and projectors to obtain a suitable educational setup [21]. Furthermore, the inherent nature of tabletop architectures poses a limit on the number of students that can collaboratively interact with the TUI system, thus constraining usability to only small cohorts of students [24]. This audience limitation was partially addressed using vertical peripherals in TUI setups.…”
Section: Tangible User Interfacesmentioning
confidence: 99%
“…This concept improves the interaction domain between human and computing machines by enabling users of TUI systems to take advantage of innate spatial and environmental skills [29], whilst interacting with and configuring physical objects [33]. Moreover, substituting real-life familiar objects instead of digital controlling options enables TUI systems to increase an application's intuitiveness which eases out the understanding of the concepts explained.…”
Section: Introductionmentioning
confidence: 99%