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Dive into the research topics where Casey Dugan is active.

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Featured researches published by Casey Dugan.


conference on computer supported cooperative work | 2008

Motivations for social networking at work

Joan Morris DiMicco; David R. Millen; Werner Geyer; Casey Dugan; Beth Brownholtz; Michael Muller

The introduction of a social networking site inside of a large enterprise enables a new method of communication between colleagues, encouraging both personal and professional sharing inside the protected walls of a company intranet. Our analysis of user behavior and interviews presents the case that professionals use internal social networking to build stronger bonds with their weak ties and to reach out to employees they do not know. Their motivations in doing this include connecting on a personal level with coworkers, advancing their career with the company, and campaigning for their projects.


human factors in computing systems | 2008

Results from deploying a participation incentive mechanism within the enterprise

Rosta Farzan; Joan Morris DiMicco; David R. Millen; Casey Dugan; Werner Geyer; Elizabeth A. Brownholtz

Success and sustainability of social networking sites is highly dependent on user participation. To encourage contribution to an opt-in social networking site designed for employees, we have designed and implemented a feature that rewards contribution with points. In our evaluation of the impact of the system, we found that employees are initially motivated to add more content to the site. This paper presents the analysis and design of the point system, the results of our experiment, and our insights regarding future directions derived from our post-experiment user interviews.


hawaii international conference on system sciences | 2009

People Sensemaking and Relationship Building on an Enterprise Social Network Site

Joan Morris DiMicco; Werner Geyer; David R. Millen; Casey Dugan; Beth Brownholtz

This paper describes a social network site designed to support employees within an enterprise in connecting and learning about each other through personal and professional sharing. We introduce the design concepts and provide a detailed account of the first three months of usage, involving nearly 300 users. Our findings suggest that employees find the site particularly useful as a way to perform people sensemaking of individuals and to connect and maintain relationships with others on the site.


human factors in computing systems | 2008

Use and reuse of shared lists as a social content type

Werner Geyer; Casey Dugan; Joan Morris DiMicco; David R. Millen; Beth Brownholtz; Michael Muller

Social networking sites support a variety of shared content types such as photos, videos, or music. More structured or form-based social content types are not mainstream but we have started seeing sites evolve that support them. This paper describes the design and use of structured lists in an enterprise social networking system. As a major feature of our shared lists, we introduced the ability to reuse someone elses list. We report the results on the use and reuse of shared lists based on three months of usage data from 285 users and interviews with 9 users. Our findings suggest that despite the structured nature of lists, our users socialize more around lists than photos, and use lists as a medium for self-representation.


human factors in computing systems | 2010

Lessons learned from blog muse: audience-based inspiration for bloggers

Casey Dugan; Werner Geyer; David R. Millen

Blogging in the enterprise is increasingly popular and recent research has shown that there are numerous benefits for both individuals and the organization, e.g. developing reputation or sharing knowledge. However, participation is very low, blogs are often abandoned and few users realize those benefits. We have designed and implemented a novel system -- called Blog Muse -- whose goal is to inspire potential blog writers by connecting them with their audience through a topic-suggestion system. We describe our system design and report results from a 4-week study with 1004 users who installed our tool. Our data indicate that topics requested by users are effective at inspiring bloggers to write and lead to more social interactions around the resulting entries.


european conference on computer supported cooperative work | 2009

Return On Contribution (ROC): A Metric for Enterprise Social Software

Michael Muller; Jill Freyne; Casey Dugan; David R. Millen; Jennifer Thom-Santelli

The value of enterprise social media applications, components, and users is difficult to quantify in formal economic terms such as Return On Investment. In this work we propose a different approach, based on human service to other humans. We describe a family of metrics, Return On Contribution (ROC), to assist in managing social software systems. ROC focuses on human collaboration, namely the creation and consumption of information and knowledge among employees. We show how ROC can be used to track the performance of several types of social media applications, and how ROC can help to understand the usage patterns of items within those applications, and the performance of employees who use those applications. Design implications include the importance of “lurkers” in organizational knowledge exchange, and specific types of measurements that may be of value to employees, managers, and system administrators.


conference on computer supported cooperative work | 2008

It's all 'about you': diversity in online profiles

Casey Dugan; Werner Geyer; Michael Muller; Joan Morris DiMicco; Beth Brownholtz; David R. Millen

User profiles on todays social networking sites support only a small set of predefined questions. We report on an alternative way for users to richly describe themselves, by entering not only responses, but their own questions as well. Data from 10 months of usage shows that users of a social networking site created thousands of diverse questions and reused existing questions from other users. Our findings suggest that those with highly diverse user profiles have a higher number of friends.


human factors in computing systems | 2011

An open, social microcalender for the enterprise: timely?

Werner Geyer; Casey Dugan; Beth Brownholtz; Mikhil Masli; Elizabeth M. Daly; David R. Millen

We present the system design and rational for a novel social microcalendar called Timely. Our system has been inspired by previous research on calendaring and popular social network applications, in particular microblogging. Timely provides an open, social space for enterprise users to share their events, socialize, and discover what else is going on in their network and beyond. A detailed analysis of the events shared by users during the sites first 47 days reveals that users willingly share their time commitments despite an existing culture of restricted calendars.


conference on computer supported cooperative work | 2010

Inspired by the audience: a topic suggestion system for blog writers and readers

Werner Geyer; Casey Dugan

Employee blogging has benefits both for individuals and the organization. In order to inspire the creation of blog posts, we developed a novel topic suggestion system that connects blog readers with blog writers through sharing topics of interest. We describe our system and the results from an employee survey that informed its design.


conference on computer supported cooperative work | 2014

Understanding employee social media chatter with enterprise social pulse

N. Sadat Shami; Jiang Yang; Laura Panc; Casey Dugan; Tristan Ratchford; Jamie C. Rasmussen; Yannick Assogba; Tal Steier; Todd Soule; Stela Lupushor; Werner Geyer; Ido Guy; Jonathan Ferrar

The rise of social media in the enterprise has enabled new ways for employees to speak up and communicate openly with colleagues. This rich textual data can potentially be mined to better understand the opinions and sentiment of employees for the benefit of the organization. In this paper, we introduce Enterprise Social Pulse (ESP) -- a tool designed to support analysts whose job involves understanding employee chatter. ESP aggregates and analyzes data from internal and external social media sources while respecting employee privacy. It surfaces the data through a user interface that supports organic results and keyword search, data segmentation and filtering, and several analytics and visualization features. An evaluation of ESP was conducted with 19 Human Resources professionals. Results from a survey and interviews with participants revealed the value and willingness to use ESP, but also surfaced challenges around deploying an employee social media listening solution in an organization.

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