Robertson, Toni, and Ina Wagner. “CSCW and the Internet of Things.” ECSCW 2015: Proceedings of the 14th European Conference on Computer Supported Cooperative Work, 19-23 September 2015, Oslo, Norway. Springer, Cham, 2015. Summary: This paper casts a Computer Supported-Cooperative Work (CSCW) light onto the Internet of Things (IoT) domain.Through the themes of coordination mechanisms, differences…
Shuyi Sun – Trust Me, You’ve Met Me
Trust is difficult to establish over the internet. This paper states that trust in a group is best established beforehand through in person meetings. However, it is possible to mitigate the lack of trust through prior computer mediated communication strategies too. This follows the common belief that having prior social interaction, or at least knowledge…
Where does Truth sit? Mini-Reflection on Trust for Health Care and Beyond (Blog 8)
Zheng, Jun, et al. “Trust without touch: jumpstarting long-distance trust with initial social activities.” Proceedings of the SIGCHI conference on human factors in computing systems. ACM, 2002. Summary: This paper examines trust through computer-mediated communication (CMC). Specifically, does focusing on social interaction, visual identification, and personal information sharing show higher levels of trusts over not…
Reflection on “Soylent: A Word Processor with a Crowd Inside”
Summary: Soylent, proposed by Michael S. Bernstein et al. , is a word processing interface that utilizes crowd contributions to aid complex writing tasks ranging from error prevention and paragraph shortening to automation of tasks like citation searches and tense changes. Soylent aids the writing process by combining Amazon’s Mechanical Turk workers and Microsoft Word….
Shuyi Sun – Soylent: Proofreadinception?
Soylent is a word processing tool used for proofreading. It goes through many contributors sourced through Amazon Mechanical Turk, and produces crowdsourced edited documents for writers. Soylent consists of three main tasks: shorten, proofread, and format. This paper believes that crowdsourcing the task of proofreading allows writers to gather a holistic and advanced final draft…
Reflection #6 – [11/07] – Viral Pasad
Michael S. Bernstein, Greg Little, Robert C. Miller, Björn Hartmann, Mark S. Ackerman, David R. Karger, David Crowell, and Katrina Panovich. 2015. Soylent: a word processor with a crowd inside. Commun. ACM 58, 8 (July 2015), 85-94. DOI: https://doi.org/10.1145/2791285 “Next week’s reading is on Soylent”, I tell my roommate, who often consumes Soylent as one of his…
Soylent: not the beverage, the MS Word add-in
Moderate googling did not reveal any mention of Soylent data being used to train AIs, which surprises me… The fact that I hadn’t heard of Soylent before this paper also surprised me—why isn’t it so popular that “Soylent” is a household name? (Well, it kind of is, but it’s in reference to the soy-based beverage…
Soylent: A Word Processor with a Crowd Inside: Reflection
The authors here talk about Soylent, a word processing interface that enabled writers to call upon crowdworkers to help shorten proof read and edit parts of their documents on demand. The authors hypothesized that crowd workers with a basic knowledge of written English can support both novice and expert writers. More importantly, the authors discuss…
Soylent and the Introduced Perspectives to Influence Time and Cost, Ownership, and Knowledge (Blog 7)
Bernstein, Michael S., et al. “Soylent: a word processor with a crowd inside.” Proceedings of the 23nd annual ACM symposium on User interface software and technology. ACM, 2010. Summary: This paper introduces Soylent, a crowdsourced word processing interface, with three main components: shortn, crowdproof, and the human macro. Shortn focuses on shortening written pieces with…
The Benefits of Facebook “Friends:” Social Capital and College Students’ Use of Online Social Network Site – Setor
This paper focused on examining how Facebook assess and bridges social capital. They also explore ways in which users on Facebook maintain these social capitals. In the end they found it that users of Facebook would benefit for people who have low self-esteem and low life satisfaction. The research method the authors used was a…