Rodrigo de Oliveira
Rodrigo de Oliveira is a research lead for search in all Google Workspace products (Gmail, Drive, Chat, and more). Previously, he was a research scientist at Telefonica Research in Barcelona, Spain. He received his Ph.D. in Computer Science from State University of Campinas, supported by the Microsoft Research fellowship. Rodrigo published over 40 peer reviewed papers in top-tier conferences and journals in Human-Computer Interaction, and received several best paper awards and honorable mentions, including two ACM 10-year impact awards. His work is usually applied to ubiquitous and mobile computing, user modeling, video sharing systems, e-health, e-learning, online privacy and multimedia.
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Methods, systems, and media for presenting a user interface customized for a predicted user activity
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Methods, systems, and media for presenting a user interface customized for a predicted user activity are provided. In some embodiments, the method comprises: selecting users of a content delivery service, causing user devices to prompt the associated users to provide subjective data related to the user's intent when requesting media content items, training a predictive model to identify a user's subjective intent in requesting a media content item based on objective data received from a user device associated with the user and the subjective data received from the user devices, wherein the predictive model is trained to identify whether to present the user with a first user interface associated with a first user intent or a second user interface associated with a second user intent, causing the first user interface or the second user interface to be presented.
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Watching online videos on mobile devices has been massively present in people’s daily activities. However, different users can watch the same video for different purposes, and hence develop different expectations for their experience. Understanding people’s motivations for watching videos on mobile can help address this problem by giving designers the information needed to craft the whole watching journey better adapting to user’s expectations. To obtain this understanding, a comprehensive framework of viewer motivations is necessary. We present research that provides several contributions to understanding mobile video watchers: a thorough framework of user motivations to watch videos on mobile devices, a detailed procedure for collecting and categorizing these motivations, a set of challenges that viewers experience to address each motivation, insights on usage of mobile and non-mobile devices, and design recommendations for video sharing systems.
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Interface for Exploring Videos
Chris Pentoney
Anshuman Kumar
Mary Cassin
Joshua Lewandowski
Technical Disclosure Commons (2017)
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Searching and browsing for videos is a common task. Search engines attempt to provide a quality user experience by showing the most relevant results at the top of a results page. However, efficiency and relevancy can sometimes be less of a concern, e.g., when browsing for interesting content, such as videos, e.g., without entering a search query. When users browse or search for videos, showing a hierarchical list of search results does not enable easy discovery of other content that they may enjoy.
This disclosure describes techniques to improve user enjoyment when browsing videos, e.g., directly, or after performing a video search. Clusters of videos from various sources are displayed, e.g., in a virtual reality user interface. The distance between the clusters represents the overlap of viewer audience from respective video sources.
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Challenges on the Journey to Co-Watching YouTube
Emily Sun
Joshua Lewandowski
CSCW: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, ACM, New York, NY, USA, pp. 783-793
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In order to better understand social aspects of the short-form video watching experience, we investigated the journey to co-watching, from searching and discovering content, to choosing and experiencing videos with others. After identifying, through a large-scale survey, some of the most typical situations that bring people to YouTube, we deployed a one week-long diary study with 12 participants in which they performed a set of frequent video tasks at their leisure, half by themselves, and half with someone else. Following the diary study, we had participants reenact the diary study tasks remotely with the experimenter. We observed that users face multiple challenges on the journey to co-watching a video. They must share a device designed for an individual, use different methods for selecting videos than when by themselves, negotiate or turn-take in order to make a decision, and potentially watch a video that they do not enjoy. Along this journey, users must engage in impression management to consider how their choices might make them appear to others. We present design recommendations for remote and collocated co-watching to improve the social video watching experience.
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