Daisuke Sakamoto

In this paper, we designed the augmented reality (AR) -based visualization of metaphor that instructors in an Aikido community of practice use in everyday teaching to explain techniques. We deployed these AR-based visual metaphors in regular Aikido club training over a two-month period and examined their use through ethnographic observations and interviews. Our findings reveal three key points. First, instructors felt AR metaphors reduced misunderstandings and stress, although using metaphors created by others diminished agency unless they incorporated their own interpretations. Second, learners grasped successful techniques more quickly, increasing motivation, yet some felt anxious about teaching others later because they had not reasoned through the mechanics. Third, AR metaphors strengthened ties to the originating instructor while weakening connections with on-site members. Based on these findings, we present three design takeaways for deploying AR-based visual metaphors into communities of practice in the real-world.

Online music videos on video-sharing platforms offer video comments that viewers can read to enjoy their social-viewing experience. However, because these comments rely on visual elements through texts, they are not accessible to eyes-free listeners, such as those who listen to music videos while jogging, commuting, or showering. To address this gap, we explore Auditory Comment Display (ACD), which offers text comments via text-to-speech (TTS) synthesis, enabling eyes-free listeners to enjoy a social-viewing experience while listening to music videos. We used music concert videos as example content and prototyped varying comment-to-speech styles in this context. We conducted a formative study (N = 8), prototyping (N = 10), and a user study (N = 12). The results indicated that ACD enhanced eyes-free listeners' social-viewing experience, although it may not be appropriate for specific situations and users. We discuss the design implications and future directions for the eyes-free social-viewing experience via comment-to-speech synthesis.