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Browsing by Author "Bautista Isaza, Carlos Augusto"

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    OtherTube: Facilitating Content Discovery and Reflection by Exchanging YouTube Recommendations with Strangers
    Bhuiyan, Md Momen; Bautista Isaza, Carlos Augusto; Mitra, Tanushree; Lee, Sang Won (ACM, 2022-04-29)
    To promote engagement, recommendation algorithms on platforms like YouTube increasingly personalize users’ feeds, limiting users’ exposure to diverse content and depriving them of opportunities to refect on their interests compared to others’. In this work, we investigate how exchanging recommendations with strangers can help users discover new content and refect.We tested this idea by developing OtherTube—a browser extension for YouTube that displays strangers’ personalized YouTube recommendations. OtherTube allows users to (i) create an anonymized profle for social comparison, (ii) share their recommended videos with others, and (iii) browse strangers’ YouTube recommendations.We conducted a 10-day-long user study (n = 41) followed by a post-study interview (n = 11). Our results reveal that users discovered and developed new interests from seeing OtherTube recommendations. We identifed user and content characteristics that afect interaction and engagement with exchanged recommendations; for example, younger users interacted more with OtherTube, while the perceived irrelevance of some content discouraged users from watching certain videos. Users refected on their interests as well as others’, recognizing similarities and diferences. Our work shows promise for designs leveraging the exchange of personalized recommendations with strangers.
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    Understanding Multi-user, Handheld Mixed Reality for Group-based MR Games
    Bautista Isaza, Carlos Augusto; Enriquez, Daniel; Moon, Hayoun; Jeon, Myounghoon; Lee, Sang Won (ACM, 2024-04-23)
    Research has identified applications of handheld-based VR, which utilizes handheld displays or mobile devices, for developing systems that involve users in mixed reality (MR) without the need for head-worn displays (HWDs). Such systems can potentially accommodate large groups of users participating in MR. However, we lack an understanding of how group sizes and interaction methods affect the user experience.} In this paper, we aim to advance our understanding of handheld-based MR in the context of multiplayer, co-located games. We conducted a study (N = 38) to understand how user experiences vary by group size (2, 4, and 8) and interaction method (proximity-based or pointing-based). For our experiment, we implemented a multiuser experience for up to ten users. We found that proximity-based interaction that encouraged dynamic movement positively affected social presence and physical/temporal workload. In bigger group settings, participants felt less challenged and less positive. Individuals had varying preferences for group size and interaction type. The findings of the study will advance our understanding of the design space for handheld-based MR in terms of group sizes and interaction schemes. To make our contributions explicit, we conclude our paper with design implications that can inform user experience design in handheld-based mixed reality contexts.