2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT) 2016
DOI: 10.1109/icalt.2016.69
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From Tabletops to Multi-Tablet Environments in Educational Scenarios: A Lightweight and Inexpensive Alternative

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Cited by 1 publication
(3 citation statements)
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“…Regular-shaped MDEs usually are for the purpose of extending the visualization space and often present the typical rectangular form of a planar single screen Bardram et al, 2010), or the classic "L" shape of heterogeneous environments with a wall screen next to a tabletop . Irregular shapes, on the other hand, allow flexible configurations where the users can place the surfaces arbitrarily, and are present in many environments involving mobile devices that are not aimed at extending the visualization space, since they can be moved around and placed wherever the user pleases (Mandryk et al, 2001;Iwai and Sato, 2009); or in environments with a mechanism to track all the surfaces in real time (Rekimoto and Saitoh, 1999;Maciel et al, 2010;Garcia-Sanjuan et al, 2016b), so that all of them can maintain the coupling regardless of where they are placed. There are other examples of MDEs with irregular shapes that do try to extend the visualization space and rely on proximity sensors to keep the devices coupled (Goh et al, 2012;Ohta and Tanaka, 2012).…”
Section: Regularity Of Shapementioning
confidence: 99%
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“…Regular-shaped MDEs usually are for the purpose of extending the visualization space and often present the typical rectangular form of a planar single screen Bardram et al, 2010), or the classic "L" shape of heterogeneous environments with a wall screen next to a tabletop . Irregular shapes, on the other hand, allow flexible configurations where the users can place the surfaces arbitrarily, and are present in many environments involving mobile devices that are not aimed at extending the visualization space, since they can be moved around and placed wherever the user pleases (Mandryk et al, 2001;Iwai and Sato, 2009); or in environments with a mechanism to track all the surfaces in real time (Rekimoto and Saitoh, 1999;Maciel et al, 2010;Garcia-Sanjuan et al, 2016b), so that all of them can maintain the coupling regardless of where they are placed. There are other examples of MDEs with irregular shapes that do try to extend the visualization space and rely on proximity sensors to keep the devices coupled (Goh et al, 2012;Ohta and Tanaka, 2012).…”
Section: Regularity Of Shapementioning
confidence: 99%
“…In our opinion, performing the interface distribution is a secondary step after performing the coupling between the devices; hence, combining the previous classifications, we classify the different ways of establishing the coupling into four broad categories, depending on the degree of involvement of the user: implicit, manual, assisted, and automatic. An implicit creation of the coupling means that the devices are completely unaware of one another, but the activity being carried out involves working with several surfaces at the same time as if they were exchanging information (Yuill et al, 2013;Garcia-Sanjuan et al, 2015b), hence, it is a sort of coupling that do not involve any link whatsoever among the surfaces but still provides the illusion of being connected; manual creation requires the user to explicitly set which devices are going to be part of the environment and where they are going to be located in the physical space (Grudin, 2001;Lyons et al, 2006); an assisted one also requires the action of the user, but they are only required to perform a gesture indicating they want to couple two or more devices together Hunter et al, 2010); and, finally, an automatic creation is completely transparent to the user and relies on a discovery service to determine which devices should be coupled (Maciel et al, 2010;Marquardt et al, 2012;Garcia-Sanjuan et al, 2016b). Whereas the first and the last methods may be more comfortable for the user, the other two involve a component of intentionality that can be useful in some contexts.…”
Section: Creationmentioning
confidence: 99%
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