Tailor Twist: Assessing Rotational Mid-Air Interactions for Augmented Reality

Schön, Dominik; Kosch, Thomas; Müller, Florian; Schmitz, Martin; Günther, Sebastian; Bommhardt, Lukas; Mühlhäuser, Max

doi:10.1145/3544548.3581461

Cited by 9 publications

(1 citation statement)

References 72 publications

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“…They determined the well-established topics of security, safety, and privacy in general computer science to be relevant for the MR research. These aspects become more important since they proliferate into other research areas for wider adoption, including MR support at production lines [6,58], education [23,47], or transportation [41,42,49] while changing the perception and interaction capacities of users [22,67,70]. With such growth in MR, privacy concerns encompass two main viewpoints: that of the user and that of bystanders.…”

Section: Security Safety and Privacy: Commonmentioning

confidence: 99%

Assessing User Apprehensions About Mixed Reality Artifacts and Applications: The Mixed Reality Concerns (MRC) Questionnaire

Katins,

Woźniak,

Chen

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Current research in Mixed Reality (MR) presents a wide range of novel use cases for blending virtual elements with the real world. This yet-to-be-ubiquitous technology challenges how users currently work and interact with digital content. While offering many potential advantages, MR technologies introduce new security, safety, and privacy challenges. Thus, it is relevant to understand users' apprehensions towards MR technologies, ranging from security concerns to social acceptance. To address this challenge, we present the Mixed Reality Concerns (MRC) Questionnaire, designed to assess users' concerns towards MR artifacts and applications systematically. The development followed a structured process considering previous work, expert interviews, iterative refinements, and confirmatory tests to analytically validate the questionnaire. The MRC Questionnaire offers a new method of assessing users' critical opinions to compare and assess novel MR artifacts and applications regarding security, privacy, social implications, and trust. CCS CONCEPTS• Human-centered computing → HCI design and evaluation methods.

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