Embodied Learning in Immersive Smart Spaces

Gelsomini, Mirko; Leonardi, Giulia; Garzotto, Franca

doi:10.1145/3313831.3376667

Cited by 26 publications

(24 citation statements)

References 59 publications

(56 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In these cases, it is required to train the users, since performing actions with the face is not a natural form of interaction. Using RGB and RGB-D camera sensors, it is also possible to determine the users' body location in space and use that information to select menu items or objects that are closer to users [48] or in front of the users [33]. Two studies used the users' feet to control a platform that acted like a mouse depending on the direction and angle of the feet on the platform, allowing the control of the direction of a virtual pointer [4,75].…”

Section: Interaction Interfacesmentioning

confidence: 99%

Hands-free interaction in immersive virtual reality: A systematic review

Monteiro

Gonçalves

Coelho

et al. 2021

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Hands are the most important tool to interact with virtual environments, and they should be available to perform the most critical tasks. For example, a surgeon in VR should keep his/her hands on the instruments and be able to do secondary tasks without performing a disruptive event to the operative task. In this common scenario, one can observe that hands are not available for interaction. The goal of this systematic review is to survey the literature and identify which hands-free interfaces are used, the performed interaction tasks, what metrics are used for interface evaluation, and the results of such evaluations. From 80 studies that met the eligibility criteria, the voice is the most studied interface, followed by the eye and head gaze. Some novel interfaces were brain interfaces and face expressions. System control and selection represent most of the interaction tasks studied and most studies evaluate interfaces for usability. Despite the best interface depending on the task and study, the voice was found to be versatile and showed good results amongst the studies. More research is recommended to improve the practical use of the interfaces and to evaluate the interfaces more formally.

show abstract

Section: Interaction Interfacesmentioning

confidence: 99%

Hands-free interaction in immersive virtual reality: A systematic review

Monteiro

Gonçalves

Coelho

et al. 2021

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

show abstract

“…A large body of research focused on encouraging students' participation through whole-body movements [29,31,46,49,52]. These efforts were supported by an embodied perspective of cognition, which asserts that human cognition is affected by the body's interaction with the physical world [49,67].…”

Section: Interactive Technology For Learningmentioning

confidence: 99%

HoloBoard: a Large-format Immersive Teaching Board based on pseudo HoloGraphics

Gong

Han

Guo

et al. 2021

The 34th Annual ACM Symposium on User Interface Software and Technology

View full text Add to dashboard Cite

show abstract

“…ese small and customizable networks are termed as Smart Spaces in the real world [22,23]. e connected devices in such Smart Spaces are known as nodes in the networking terminology [2,24]. For its smooth connectivity, opportunistic network is the best suited due to its inherent traits.…”

Section: Role Of Opportunistic Network In Smart Spacesmentioning

confidence: 99%

Impact of Node Density on the QoS Parameters of Routing Protocols in Opportunistic Networks for Smart Spaces

Garg

Dixit

Sethi

et al. 2020

Mobile Information Systems

View full text Add to dashboard Cite

The need and importance of Smart Spaces have been potentially realized by the researchers due to its applicability in the current lifestyle. Opportunistic network, a successor of mobile ad hoc networks and a budding technology of network, is a best-suited technology for implementing Smart Spaces due to its wide range of applications in real-life scenarios ranging from building smart cities to interplanetary communication. There are numerous routing protocols which are available in opportunistic network, each having their pros and cons; however, no research till the time of listing has been done which can quantitatively demonstrate the maximum performance of these protocols and standardize the comparison of opportunistic routing protocols which has been a major cause of ambiguous performance evaluation studies. The work here presents a categorical view of the opportunistic routing protocol family and thereby compares and contrasts the various simulators suited for their simulation. Thereafter, the most popular protocols (selecting at least one protocol from each category) are compared based on node density on as many as 8 standard performance metrics using ONE simulator to observe their scalability, realism, and comparability. The work concludes by presenting the merits and demerits of each of the protocols discussed as well as specifying the best routing protocol among all the available protocols for Smart Spaces with maximum output. It is believed that the results achieved by the implemented methodology will help future researchers to choose appropriate routing protocol to delve into their research under different scenarios.

show abstract

Embodied Learning in Immersive Smart Spaces

Cited by 26 publications

References 59 publications

Hands-free interaction in immersive virtual reality: A systematic review

Hands-free interaction in immersive virtual reality: A systematic review

HoloBoard: a Large-format Immersive Teaching Board based on pseudo HoloGraphics

Impact of Node Density on the QoS Parameters of Routing Protocols in Opportunistic Networks for Smart Spaces

Contact Info

Product

Resources

About