Evaluating Mixed and Augmented Reality: A Systematic Literature Review (2009-2019)

Merino, Leonel; Schwarzl, Magdalena; Kraus, Matthias; Sedlmair, Michael; Schmalstieg, Dieter; Weiskopf, Daniel

doi:10.48550/arxiv.2010.05988

Cited by 2 publications

(2 citation statements)

References 74 publications

(120 reference statements)

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“…Over the last decade, user-related studies have been conducted on immersive systems spanning various fields, considering usability, emotion, cognitive load, attention, learnability, decision making, etc. [22][23][24]. It can be summarized that there are challenges to overcome for AR technology as an interface between humans and machines.…”

Section: Related Workmentioning

confidence: 99%

Impact of Industrial Noise on Speech Interaction Performance and User Acceptance when Using the MS HoloLens 2

Rosilius,

Spiertz,

Wirsing

et al. 2024

MTI

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Even though assistance systems offer more potential due to the increasing maturity of the inherent technologies, Automatic Speech Recognition faces distinctive challenges in the industrial context. Speech recognition enables immersive assistance systems to handle inputs and commands hands-free during two-handed operative jobs. The results of the conducted study (with n = 22 participants) based on the counterbalanced within-subject design demonstrated the performance (word error rate and information transfer rate) of the HMD HoloLens 2 as a function of the sound pressure level of industrial noise. The negative influence of industrial noise was higher on the word error rate of dictation than on the information transfer rate of the speech command. Contrary to expectations, no statistically significant difference in performance was found between the stationary and non-stationary noise. Furthermore, this study confirmed the hypothesis that user acceptance was negatively influenced by erroneous speech interactions. Furthermore, the erroneous speech interaction had no statistically significant influence on the workload or physiological parameters (skin conductance level and heart rate). It can be summarized that Automatic Speech Recognition is not yet a capable interaction paradigm in an industrial context.

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Section: Related Workmentioning

confidence: 99%

Impact of Industrial Noise on Speech Interaction Performance and User Acceptance when Using the MS HoloLens 2

Rosilius,

Spiertz,

Wirsing

et al. 2024

MTI

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show abstract

“…VR is indeed used in industries [20,195], healthcare [103], or in gaming. In gaming, the concerns are mainly regarding the evaluation protocols [102], ie the presence [130] and its related questionnaires [131,163]. Surveys for instance compare the results whenever the questionnaires are asked in VR or in the real world [9,116].…”

Section: Introductionmentioning

confidence: 99%

“Can I Touch This?”: Survey of Virtual Reality Interactions via Haptic Solutions

Bouzbib¹,

Bailly²,

Haliyo³

et al. 2021

32e Conférence Francophone Sur l'Interaction Homme-Machine

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Haptic feedback has become crucial to enhance the user experiences in Virtual Reality (VR). This justifies the sudden burst of novel haptic solutions proposed these past years in the HCI community. This article is a survey of Virtual Reality interactions, relying on haptic devices. We propose two dimensions to describe and compare the current haptic solutions: their degree of physicality, as well as their degree of actuation. We depict a compromise between the user and the designer, highlighting how the range of required or proposed stimulation in VR is opposed to the haptic interfaces flexibility and their deployment in real-life use-cases. This paper (1) outlines the variety of haptic solutions and provides a novel perspective for analysing their associated interactions, (2) highlights the limits of the current evaluation criteria regarding these interactions, and finally (3) reflects the interaction, operation and conception potentials of "encountered-type of haptic devices". CCS CONCEPTS• Human-centered computing → Virtual reality; Haptic devices; Interaction design theory, concepts and paradigms.

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Evaluating Mixed and Augmented Reality: A Systematic Literature Review (2009-2019)

Cited by 2 publications

References 74 publications

Impact of Industrial Noise on Speech Interaction Performance and User Acceptance when Using the MS HoloLens 2

Impact of Industrial Noise on Speech Interaction Performance and User Acceptance when Using the MS HoloLens 2

“Can I Touch This?”: Survey of Virtual Reality Interactions via Haptic Solutions

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