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Bjoern Hartmann
Researcher at University of California, Berkeley
Publications - 21
Citations - 673
Bjoern Hartmann is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: The Internet & Debugging. The author has an hindex of 10, co-authored 21 publications receiving 507 citations.
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Proceedings Article
MobileWorks: a mobile crowdsourcing platform for workers at the bottom of the pyramid
TL;DR: MobileWorks provides human optical character recognition (OCR) tasks that can be completed by workers on low-end mobile phones through a web browser and finds that workers using Mobile Works average 120 tasks per hour at an accuracy rate of 99% using a multiple entry solution.
Journal ArticleDOI
MobileWorks: Designing for Quality in a Managed Crowdsourcing Architecture
Anand Kulkarni,Philipp Gutheim,Prayag Narula,David Rolnitzky,Tapan S. Parikh,Bjoern Hartmann +5 more
TL;DR: MobileWorks as mentioned in this paper is a crowd platform that departs from the marketplace model to provide robust, high-accuracy results using three new techniques: dynamic work-routing, peer-management and social interaction.
Proceedings ArticleDOI
Loki: Facilitating Remote Instruction of Physical Tasks Using Bi-Directional Mixed-Reality Telepresence
Balasaravanan Thoravi Kumaravel,Fraser Anderson,George Fitzmaurice,Bjoern Hartmann,Tovi Grossman +4 more
TL;DR: Loki leverages video, audio and spatial capture along with mixed-reality presentation methods to allow users to explore and annotate the local and remote environments, and record and review their own performance as well as their peer's.
Proceedings Article
MobileWorks: Designing for Quality in a Managed Crowdsourcing Architecture (Extended Abstract).
Anand Kulkarni,David Rolnitzky,Philipp Gutheim,Prayag Narula,Tapan S. Parikh,Bjoern Hartmann +5 more
TL;DR: MobileWorks is a crowd platform that departs from the marketplace model to provide robust, high-accuracy results using three new techniques that allow the crowd to collaboratively learn how to solve new tasks.
Proceedings ArticleDOI
DemoCut: generating concise instructional videos for physical demonstrations
TL;DR: DemoCut is introduced, a semi-automatic video editing system that improves the quality of amateur instructional videos for physical tasks and asks users to mark key moments in a recorded demonstration using a set of marker types derived from a formative study.