Number of co-authors:12
Number of publications with 3 favourite co-authors:Wendy A. Kellogg:2Mark Bailey:1Robert G. Farrell:1
Catalina M. Danis's 3 most productive colleagues in number of publications:W. Keith Edwards:62Thomas Erickson:52Wendy A. Kellogg:34
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Catalina M. Danis
Publications by Catalina M. Danis (bibliography)
Dantec, Christopher A. Le, Christensen, Jim E., Bailey, Mark, Farrell, Robert G., Ellis, Jason B., Danis, Catalina M., Kellogg, Wendy A. and Edwards, W. Keith (2010): A tale of two publics: democratizing design at the margins. In: Proceedings of DIS10 Designing Interactive Systems 2010. pp. 11-20.
The design and use of Information and Communication Technology (ICT) has now evolved beyond its workplace origins to the wider public, expanding to people who live at the margins of contemporary society. Through field work and participatory co-design with homeless shelter residents and care providers we have explored design at the common boundary of these two "publics." We describe the design of the Community Resource Messenger (CRM), an ICT that supports both those in need and those attempting to provide care in a challenging environment. The CRM consists of three components: 1) a message center that pools messages to and from mobile users into a shared, persistent forum; 2) a text and voice messaging gateway linking the mobile phones of the homeless with the web-enabled computer facilities of the care providers; 3) a shared message display accessible from mobile texting, voice, e-mail, and the web, helping the two groups communicate and coordinate for mutual good. By democratizing design and use of technology at the margins of society, we aim to engage an entire "urban network," enabling shared awareness and collective action in each public.
© All rights reserved Dantec et al. and/or their publisher
Danis, Catalina M., Viégas, Fernanda B., Wattenberg, Martin and Kriss, Jesse (2008): Your place or mine?: visualization as a community component. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 275-284.
Many Eyes is a web site that provides collaborative visualization services, allowing users to upload data sets, visualize them, and comment on each other's visualizations. This paper describes a first interview-based study of Many Eyes users, which sheds light on user motivation for creating public visualizations. Users talked about data for many reasons, from scientific research to political advocacy to hobbies. One consistent theme across these different scenarios is the use of visualizations in communication and collaborative practices. Collaboration and conversation, however, often took place outside the site, leaving no traces on Many Eyes itself. In other words, despite spurring significant social activity, Many Eyes is not so much an online community as a "community component" which users insert into pre-existing online social systems.
© All rights reserved Danis et al. and/or ACM Press
Erickson, Thomas, Danis, Catalina M., Kellogg, Wendy A. and Helander, Mary E. (2008): Assistance: the work practices of human administrative assistants and their implications for it and organizations. In: Proceedings of ACM CSCW08 Conference on Computer-Supported Cooperative Work 2008. pp. 609-618.
Assistance -- work carried out by one entity in support of another -- is a concept of long-standing interest, both as a type of human work common in organizations and as a model of how computational systems might interact with humans. Surprisingly, the perhaps most paradigmatic form of assistance -- the work of administrative assistants or secretaries -- has received almost no attention. This paper reports on a study of assistants, and their principals and managers, laying out a model of their work, the skills and competencies they need to function effectively, and reflects on implications for the design of systems and organizations.
© All rights reserved Erickson et al. and/or ACM Press
Danis, Catalina M. (1991): Methods for Formatting Text Produced with a Speech-Based Editor. In: Proceedings of the Human Factors Society 35th Annual Meeting 1991. pp. 364-368.
The large number of typists and secretaries in the work force who type documents for others are evidence that a substantial segment of the population can not or will not produce their own documents. There are, however, significant pressures in the work place for shifting some or all of the responsibility for document production to the producer of the document content. Automatic speech recognition systems would make this possible if they were to provide a means for handling formatting operations as well as transcribing content accurately. This study investigated user reactions to six formatting methods (e.g., for creation of a list structure, for beginning a paragraph) in a simulated "document creation by voice" application. The results of this study indicate that subjects preferred the method in which a spoken command was used to produce formatting and immediate recognition feedback was received. The second highest ranked condition was one which required that, in addition, the spoken command be preceded by a mouse click. An argument is made in favor of implementing the second-most favored method because it would allow for the inclusion of a number of additional features requested by users.
© All rights reserved Danis and/or Human Factors Society
Danis, Catalina M. (1989): Developing Successful Speakers for an Automatic Speech Recognition System. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 301-304.
This paper reports on a study of recognition performance for a group of new users during their first month of experience with the Tangora systems. Tangora is a 20,000 work, speaker dependent, isolated-word system which transcribes speech input into text in real-time. Twelve users, six males and six females, participated in 21 sessions each, during which they read aloud unrelated sentences selected from a corpus of office correspondence. Their goal was to develop a speaking style which minimized Tangora's recognition error. To this end, starting with the third session, the experimenter generated hypotheses about each users' speech habits which may have resulted in high recognition error and made suggestions to the user on how to modify his/her speaking style. In addition, each user produced a new speech sample each of the four weeks of the experiment which was used to "train" the system to recognize the speaker. On average, recognition error decreased by 33% from the first to the fourth week. This improvement was attributable to "retraining" the system with, apparently, more representative speech samples. A number of speech habits brought by users to the recognition task were identified as contributing to poor recognition performance by Tangora. These included: (a) a too fast speech rate, (b) failure to pause between words, (c) hyper-correct articulation of the final phoneme in words. Feedback relating to these speech habits was used successfully by a majority of the users to modify their speaking style into one more successfully recognized by the Tangora system.
© All rights reserved Danis and/or Human Factors Society
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