It's really hard to design products by focus groups. A lot of times, people don't know what they want until you show it to them.
-- Steve Jobs, 1998
Read the fascinating history of Wearable Computing, told by its father, Steve Mann
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Publications by Jungwoo Kim (bibliography)
Park, Souneil, Ko, Minsam, Kim, Jungwoo, Liu, Ying and Song, Junehwa (2011): The politics of comments: predicting political orientation of news stories with commenters' sentiment patterns. In: Proceedings of ACM CSCW11 Conference on Computer-Supported Cooperative Work 2011. pp. 113-122.
Political views frequently conflict in the coverage of contentious political issues, potentially causing serious social problems. We present a novel social annotation analysis approach for identification of news articles' political orientation. The approach focuses on the behavior of individual commenters. It uncovers commenters' sentiment patterns towards political news articles, and predicts the political orientation from the sentiments expressed in the comments. It takes advantage of commenters' participation as well as their knowledge and intelligence condensed in the sentiment of comments, thereby greatly reduces the high complexity of political view identification. We conduct extensive study on commenters' behaviors, and discover predictive commenters showing a high degree of regularity in their sentiment patterns. We develop and evaluate sentiment pattern-based methods for political view identification.
© All rights reserved Park et al. and/or their publisher
Newman, Mark W., Ackerman, Mark S., Kim, Jungwoo, Prakash, Atul, Hong, Zhenan, Mandel, Jacob and Dong, Tao (2010): Bringing the field into the lab: supporting capture and replay of contextual data for the design of context-aware applications. In: Proceedings of the 2010 ACM Symposium on User Interface Software and Technology 2010. pp. 105-108.
When designing context-aware applications, it is difficult to for designers in the studio or lab to envision the contextual conditions that will be encountered at runtime. Designers need a tool that can create/re-create naturalistic contextual states and transitions, so that they can evaluate an application under expected contexts. We have designed and developed RePlay: a system for capturing and playing back sensor traces representing scenarios of use. RePlay contributes to research on ubicomp design tools by embodying a structured approach to the capture and playback of contextual data. In particular, RePlay supports: capturing naturalistic data through Capture Probes, encapsulating scenarios of use through Episodes, and supporting exploratory manipulation of scenarios through Transforms. Our experiences using RePlay in internal design projects illustrate its potential benefits for ubicomp design.
© All rights reserved Newman et al. and/or their publisher
Ackerman, Mark S., Dong, Tao, Gifford, Scott, Kim, Jungwoo, Newman, Mark W., Prakash, Atul, Qidwai, Sarah, Garcia, David, Villegas, Paulo, Cadenas, Alejandro, Sánchez-Esguevillas, Antonio, Aguiar, Javier, Carro, Belén, Mailander, Sean, Schroeter, Ronald, Foth, Marcus and Bhattacharya, Amiya (2009): Location-Aware Computing, Virtual Networks. In IEEE Pervasive Computing, 8 (4) pp. 28-32.
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