Browsing by Author "Wang, Boyuan"

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    The Effects of Incorrect Occlusion Cues on the Understanding of Barehanded Referencing in Collaborative Augmented Reality
    Li, Yuan; Hu, Donghan; Wang, Boyuan; Bowman, Douglas A.; Lee, Sang Won (Frontiers, 2021-07-01)
    In many collaborative tasks, the need for joint attention arises when one of the users wants to guide others to a specific location or target in space. If the collaborators are co-located and the target position is in close range, it is almost instinctual for users to refer to the target location by pointing with their bare hands. While such pointing gestures can be efficient and effective in real life, performance will be impacted if the target is in augmented reality (AR), where depth cues like occlusion may be missing if the pointer’s hand is not tracked and modeled in 3D. In this paper, we present a study utilizing head-worn AR displays to examine the effects of incorrect occlusion cues on spatial target identification in a collaborative barehanded referencing task. We found that participants’ performance in AR was reduced compared to a real-world condition, but also that they developed new strategies to cope with the limitations of AR. Our work also identified mixed results of the effect of spatial relationships between users.
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    Why Did You Post That GIF? Understanding Relationship between User Identity and Self Expression through GIFs on Social Media
    Wang, Boyuan (Virginia Tech, 2023-08-02)
    GIFs afford a great degree of personalization as they are often created from popular movie and video clips, with diverse and real characters, each expressing a nuanced affect state through a combination of characters' own unique bodily gesture and distinctive visual background. This highly personalized and embodied property gave us an unique window to explore how individuals represent and express themselves on social media, through the lens of GIFs they use. In this study, we explore how do Twitter users express their gender and racial identities through that of characters in gifs. We conducted a behavioral study (n=398) to simulate a series of tweeting and gif picking scenario and we found that gender and race identities have significant impact on users' choice of GIFs and that source familiarity and perceived audience also have significant impacts on whether a user will choose race and gender matching GIFs.