Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1180
Title: Interactions in Augmented and Mixed Reality: An Overview
Authors: Papadopoulos, Theofilos
Evangelidis, Konstantinos
Kaskalis, Theodore H.
Evangelidis, Georgios
Sylaiou, Stella
Type: Article
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: augmented reality
mixed reality
human-computer interactions
taxonomy
modalities
modality-based classification
Issue Date: 2021
Source: Applied Sciences
Volume: 11
Issue: 18
First Page: 8752
Abstract: “Interaction” represents a critical term in the augmented and mixed reality ecosystem. Today, in mixed reality environments and applications, interaction occupies the joint space between any combination of humans, physical environment, and computers. Although interaction methods and techniques have been extensively examined in recent decades in the field of human-computer interaction, they still should be reidentified in the context of immersive realities. The latest technological advancements in sensors, processing power and technologies, including the internet of things and the 5G GSM network, led to innovative and advanced input methods and enforced computer environmental perception. For example, ubiquitous sensors under a high-speed GSM network may enhance mobile users’ interactions with physical or virtual objects. As technological advancements emerge, researchers create umbrella terms to define their work, such as multimodal, tangible, and collaborative interactions. However, although they serve their purpose, various naming trends overlap in terminology, diverge in definitions, and lack modality and conceptual framework classifications. This paper presents a modality-based interaction-oriented diagram for researchers to position their work and defines taxonomy ground rules to expand and adjust this diagram when novel interaction approaches emerge.
URI: https://doi.org/10.3390/app11188752
https://ruomo.lib.uom.gr/handle/7000/1180
ISSN: 2076-3417
Other Identifiers: 10.3390/app11188752
Appears in Collections:Department of Applied Informatics

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