Meta AI literacy scale: Further validation and development of a short version.

The concept of AI literacy, its promotion, and measurement are important topics as they prepare society for the steadily advancing spread of AI technology. The first purpose of the current study is to advance the measurement of AI literacy by collecting evidence regarding the validity of the Meta AI Literacy Scale (MAILS) by Carolus and colleagues published in 2023: a self-assessment instrument for AI literacy and additional psychological competencies conducive for the use of AI. For this purpose, we first formulated the intended measurement purposes of the MAILS.

From Avatars to Agents: Self-Related Cues Through Embodiment and Personalization Affect Body Perception in Virtual Reality.

Our work investigates the influence of self-related cues in the design of virtual humans on body perception in virtual reality. In a $2\times 2$ mixed design, 64 participants faced photorealistic virtual humans either as a motion-synchronized embodied avatar or as an autonomous moving agent, appearing subsequently with a personalized and generic texture. Our results unveil that self-related cues through embodiment and personalization yield an individual and complemented increase in participants' sense of embodiment and self-identification towards the virtual human.

Handwriting for Text Input and the Impact of XR Displays, Surface Alignments, and Sentence Complexities.

Text input is desirable across various eXtended Reality (XR) use cases and is particularly crucial for knowledge and office work. This article compares handwriting text input between Virtual Reality (VR) and Video See-Through Augmented Reality (VST AR), facilitated by physically aligned and mid-air surfaces when writing simple and complex sentences. In a $2\times 2\times 2$ experimental design, 72 participants performed two ten-minute handwriting sessions, each including ten simple and ten complex sentences representing text input in real-world scenarios.

Assessing Depth Perception in VR and Video See-Through AR: A Comparison on Distance Judgment, Performance, and Preference.

Spatial User Interfaces along the Reality-Virtuality continuum heavily depend on accurate depth perception. However, current display technologies still exhibit shortcomings in the simulation of accurate depth cues, and these shortcomings also vary between Virtual or Augmented Reality (VR, AR: eXtended Reality (XR) for short). This article compares depth perception between VR and Video See-Through (VST) AR.

Visual Indicators Representing Avatars' Authenticity in Social Virtual Reality and Their Impacts on Perceived Trustworthiness.

Photorealistic avatars show great potential in social VR and VR collaboration. However, identity and privacy issues are threatening avatars' authenticity in social VR. In addition to the necessary authentication and protection, effective solutions are needed to convey avatars' authenticity status to users and thereby enhance the overall trustworthiness.