Number of co-authors:15
Number of publications with 3 favourite co-authors:Steven Dow:3Anand Kulkarni:2Björn Hartmann:2
Scott Klemmer's 3 most productive colleagues in number of publications:Björn Hartmann:27Steven Dow:16Anand Kulkarni:4
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Publications by Scott Klemmer (bibliography)
Dow, Steven, Kulkarni, Anand, Klemmer, Scott and Hartmann, Björn (2012): Shepherding the crowd yields better work. In: Proceedings of ACM CSCW12 Conference on Computer-Supported Cooperative Work 2012. pp. 1013-1022.
Micro-task platforms provide massively parallel, on-demand labor. However, it can be difficult to reliably achieve high-quality work because online workers may behave irresponsibly, misunderstand the task, or lack necessary skills. This paper investigates whether timely, task-specific feedback helps crowd workers learn, persevere, and produce better results. We investigate this question through Shepherd, a feedback system for crowdsourced work. In a between-subjects study with three conditions, crowd workers wrote consumer reviews for six products they own. Participants in the None condition received no immediate feedback, consistent with most current crowdsourcing practices. Participants in the Self-assessment condition judged their own work. Participants in the External assessment condition received expert feedback. Self-assessment alone yielded better overall work than the None condition and helped workers improve over time. External assessment also yielded these benefits. Participants who received external assessment also revised their work more. We conclude by discussing interaction and infrastructure approaches for integrating real-time assessment into online work.
© All rights reserved Dow et al. and/or ACM Press
Dow, Steven, Fortuna, Julie, Schwartz, Dan, Altringer, Beth, Schwartz, Daniel and Klemmer, Scott (2011): Prototyping dynamics: sharing multiple designs improves exploration, group rapport, and results. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 2807-2816.
Prototypes ground group communication and facilitate decision making. However, overly investing in a single design idea can lead to fixation and impede the collaborative process. Does sharing multiple designs improve collaboration? In a study, participants created advertisements individually and then met with a partner. In the Share Multiple condition, participants designed and shared three ads. In the Share Best condition, participants designed three ads and selected one to share. In the Share One condition, participants designed and shared one ad. Sharing multiple designs improved outcome, exploration, sharing, and group rapport. These participants integrated more of their partner's ideas into their own subsequent designs, explored a more divergent set of ideas, and provided more productive critiques of their partner's designs. Furthermore, their ads were rated more highly and garnered a higher click-through rate when hosted online.
© All rights reserved Dow et al. and/or their publisher
Dow, Steven, Kulkarni, Anand, Bunge, Brie, Nguyen, Truc, Klemmer, Scott and Hartmann, Björn (2011): Shepherding the crowd: managing and providing feedback to crowd workers. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 1669-1674.
Micro-task platforms provide a marketplace for hiring people to do short-term work for small payments. Requesters often struggle to obtain high-quality results, especially on content-creation tasks, because work cannot be easily verified and workers can move to other tasks without consequence. Such platforms provide little opportunity for workers to reflect and improve their task performance. Timely and task-specific feedback can help crowd workers learn, persist, and produce better results. We analyze the design space for crowd feedback and introduce Shepherd, a prototype system for visualizing crowd work, providing feedback, and promoting workers into shepherding roles. This paper describes our current progress and our plans for system development and evaluation.
© All rights reserved Dow et al. and/or their publisher
Wu, Leslie, Cirimele, Jesse, Card, Stuart, Klemmer, Scott, Chu, Larry and Harrison, Kyle (2011): Maintaining shared mental models in anesthesia crisis care with nurse tablet input and large-screen displays. In: Proceedings of the 2011 ACM Symposium on User Interface Software and Technology 2011. pp. 71-72.
In an effort to reduce medical errors, doctors are beginning to embrace cognitive aids, such as paper-based checklists. We describe the early stage design process of an interactive cognitive aid for crisis care teams. This process included collaboration with anesthesia professors in the school of medicine and observation of medical students practicing in simulated scenarios. Based on these insights, we identify opportunities to employ large-screen displays and coordinated tablets to support team performance. We also propose a system design for interactive cognitive aids intended to encourage a shared mental model amongst crisis care staff.
© All rights reserved Wu et al. and/or ACM Press
Klemmer, Scott and Landay, James (2009): Toolkit Support for Integrating Physical and Digital Interactions. In Human-Computer Interaction, 24 (3) pp. 315-366.
There is great potential in enabling users to interact with digital information by integrating it with everyday physical objects. However, developing these interfaces requires programmers to acquire and abstract physical input. This is difficult, is time-consuming, and requires a high level of technical expertise in fields very different from user interface development -- especially in the case of computer vision. Based on structured interviews with researchers, a literature review, and our own experience building physical interfaces, we created Papier-Mâché, a toolkit for integrating physical and digital interactions. Its library supports computer vision, electronic tags, and barcodes. Papier-Mâché introduces high-level abstractions for working with these input technologies that facilitate technology portability. We evaluated this toolkit through a laboratory study and longitudinal use in course and research projects, finding the input abstractions, technology portability, and monitoring facilities to be highly effective.
© All rights reserved Klemmer and Landay and/or Taylor and Francis
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