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Computer-Supported Career Development in The Future of Work

Published: 30 October 2018 Publication History

Abstract

As people increasingly work different jobs, the respon-sibility of building long-term career satisfaction and stability increasingly falls more on the workers rather than individual employers. With technologies playing a central role in how people choose and access employ-ment opportunities, it is necessary to understand how online technologies are shaping career development. We bring together leading human-computer interaction researchers, industry members, and community organ-izers, who have worked with systems and people across the socio-economic spectrum during the career devel-opment process. We will discuss research on the role of online technologies in career development, including but not limited to topics in crowd work, social media sites, and freelance work sites.

References

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Tawanna R. Dillahunt, Nishan Bose, Suleman Diwan, and Asha Chen-Phang. 2016. Designing for disadvantaged job seekers: Insights from early investigations. In Proc. of the ACM Conference on Designing Interactive Systems, 905--910.
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Lynn Dombrowski, Adriana Alvarado Garcia, and Jessica Despard. 2017. Low-wage precarious workers' sociotechnical practices working towards addressing wage theft. In Proc. of the ACM Conference on Human Factors in Computing Systems, 4585--4598.
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Daniel Haas, Jason Ansel, Lydia Gu, and Adam Marcus. 2015. Argonaut: macrotask crowdsourcing for complex data processing. Proceedings of the VLDB Endowment 8, 12: 1642--1653.
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Julie Hui and Elizabeth M. Gerber. 2018. IntroAssist: A Tool to Support Writing Introductory Help Requests. In Proc. of the ACM Conference on Human Factors in Computing Systems.
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Lilly C. Irani and M. Silberman. 2013. Turkopticon: Interrupting worker invisibility in amazon mechanical turk. In Proc. of the Conference on Human Factors in Computing Systems, 611--620.
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Robert W. Lent and Steven D. Brown. 2013. Understanding and facilitating career development in the 21st century. Career development and counseling: Putting theory and research to work 2: 1--26.
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Niloufar Salehi, Lilly C. Irani, Michael S. Bernstein, Ali Alkhatib, Eva Ogbe, Kristy Milland, and others. 2015. We are dynamo: Overcoming stalling and friction in collective action for crowd workers. In Proc. of the Conference on Human Factors in Computing Systems, 1621--1630.

Cited By

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  • (2022)What Quality Control Mechanisms do We Need for High-Quality Crowd Work?IEEE Access10.1109/ACCESS.2022.320729210(99709-99723)Online publication date: 2022

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Published In

cover image ACM Conferences
CSCW '18 Companion: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing
October 2018
518 pages
ISBN:9781450360180
DOI:10.1145/3272973
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 October 2018

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Author Tags

  1. artificial intelligence
  2. career development
  3. crowd work
  4. free-lance work
  5. future of work
  6. gig work
  7. moocs
  8. online technologies

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CSCW '18
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CSCW '18 Companion Paper Acceptance Rate 105 of 385 submissions, 27%;
Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

View all
  • (2022)What Quality Control Mechanisms do We Need for High-Quality Crowd Work?IEEE Access10.1109/ACCESS.2022.320729210(99709-99723)Online publication date: 2022

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