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Author: 1149
12 results

Explaining Decision-Making Algorithms through UI: Strategies to Help Non-Expert Stakeholders

Increasingly, algorithms are used to make important decisions across society. However, these algorithms are usually poorly understood, which can reduce transparency and evoke negative emotions. In this research, we seek to learn design principles for explanation interfaces that communicate how decision-making algorith…

HC
Hao-Fei Cheng et al.University of Minnesota

Understanding Relationship Overlapping on Social Network Sites: A Case Study of Weibo and Douban

Nowadays people have many overlapping relationships across different social network sites. Will the communication frequency of a relationship on a focal SNS increase or decrease after the corresponding parties begin interacting with each other on a new SNS? What kinds of relationships and parties on the focal SNS are…

PZ
Peng Zhang et al.Fudan University
Relationships across Platforms

Workshop: The Changing Contours of “Participation” in Data-driven, Algorithmic ...

Who? – Who are stakeholders in algorithmic ecosystems? What are the “stakes” held in data-driven, algorithmic ecosystems and what are the politics and power dynamics amongst stakeholders? What? – What does it mean to “participate” in algorithmic ecosystems? Has the nature of “participation” changed, particularly in la…

CW
Christine Wolf et al.IBM
Workshop: The Changing Contours of “Participation” in Data-driven, Algorithmic ...

The Sharing Economy in Computing: A Systematic Literature Review

The sharing economy has quickly become a very prominent subject of research in the broader computing literature and the in human-computer interaction (HCI) literature more specifically. When other computing research areas have experienced similarly rapid growth (e.g. human computation, eco-feedback technology), early…

TD
Tawanna R. Dillahunt et al.University of Michigan
Sharing Economy
AdRecommended

Learn AI Coding at CodeNow

Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

Explore Nowopen_in_new

[Un]breaking News: Design Opportunities for Enhancing Collaboration in Scientific Media Production

Contemporary scientific media production requires a complex socio-technical infrastructure we call the "Media Production Pipeline" (MPP). Media professionals engage with researchers along the MPP to disseminate science news to the lay public. However, differing incentive structures and professional contexts frequently…

CS
C. Estelle Smith et al.Colorado School of Mines

Never Too Old, Cold or Dry to Watch the Sky: A Survival Analysis of Citizen Science Volunteerism

CoCoRaHS is a multinational citizen science project for observing precipitation. Like many citizen science projects, volunteer retention is a key measure of engagement and data quality. Through survival analysis, we found that participant age (self-reported at account creation) is a significant predictor of retention.…

SS
S. Andrew Sheppard et al.
University of Minnesota
Citizen Science and Scientific Research

The Effect of Emotional Cues from the NFL on Wikipedia Contributions

Exploiting evidence that sporting results affect fans’ mood, we analyze whether National Football League game outcomes can affect the contributions of Wikipedia editors who identify as fans of a specific team. We find that the day after a team loses, their fans decrease their contributions towards football-related pag…

WL
Weiwen Leung et al.
University of Minnesota
Wikipedia

Quality Standards, Service Orientation, and Power in Airbnb and Couchsurfing

Although Couchsurfing and Airbnb are both online communities that help users host strangers in their homes, they differ in an important sense: Couchsurfing prohibits monetary payment while Airbnb is built around it.We conducted interviews with users experienced on both Couchsurfing and Airbnb (``dual-users'') to bette…

MK
Maximilian A Klein et al.University of Minnesota
Sharing Economy

Content is King, Leadership Lags: Effects of Prior Experience on Newcomer Retention and Productivity in Online Production Groups

Organizers of online groups often struggle to recruit members who can most effectively carry out the group's activities and remain part of the group over time. In a study of a sample of 30,000 new editors belonging to 1,054 English WikiProjects, we empirically examine the effects of generalized prior work-productivity…

RK
Raghav Pavan Karumur et al.University of Minnesota

Out With The Old, In With The New? Unpacking Member Turnover in Online Production Groups

Nearly any group is subject to \textit{turnover}: some people leave, while others join. Turnover can be especially high in online groups, since participation typically is strictly voluntary. We investigated the effects of member turnover in online groups, specifically in Wikipedia's WikiProjects. We based our studies…

BY
Bowen Yu et al.University of Minnesota
Production and Productivity

Value-Sensitive Algorithm Design: Method, Case Study, and Lessons

Most commonly used approaches to developing automated or artificially intelligent algorithmic systems are Big Data-driven and machine learning-based. However, these approaches can fail, for two notable reasons: (1) they may lack critical engagement with users and other stakeholders; (2) they rely largely on historical…

HZ
Haiyi Zhu et al.University of Minnesota
Wikipedia

T-Cal: Understanding Team Conversational Data with Calendar-based Visualization

Understanding team communication and collaboration patterns is critical for improving work efficiency in organizations. This paper presents an interactive visualization system, T-Cal, that supports the analysis of conversation data from modern team messaging platforms (e.g., Slack). T-Cal employs a user-familiar visua…

SF
Siwei Fu et al.Hong Kong University of Science and Technology
Paper TitleAuthorsResearch TopicsPaper DatabaseYear

Explaining Decision-Making Algorithms through UI: Strategies to Help Non-Expert Stakeholders

Increasingly, algorithms are used to make important decisions across society. However, these algorithms are usually poorly understood, which can reduce transparency and evoke negative emotions. In this research, we seek to learn design principles for explanation interfaces that communicate how decision-making algorith…

HC
Hao-Fei Cheng et al.University of Minnesota

Understanding Relationship Overlapping on Social Network Sites: A Case Study of Weibo and Douban

Nowadays people have many overlapping relationships across different social network sites. Will the communication frequency of a relationship on a focal SNS increase or decrease after the corresponding parties begin interacting with each other on a new SNS? What kinds of relationships and parties on the focal SNS are…

PZ
Peng Zhang et al.Fudan University
Relationships across Platforms

Workshop: The Changing Contours of “Participation” in Data-driven, Algorithmic ...

Who? – Who are stakeholders in algorithmic ecosystems? What are the “stakes” held in data-driven, algorithmic ecosystems and what are the politics and power dynamics amongst stakeholders? What? – What does it mean to “participate” in algorithmic ecosystems? Has the nature of “participation” changed, particularly in la…

CW
Christine Wolf et al.IBM
Workshop: The Changing Contours of “Participation” in Data-driven, Algorithmic ...

The Sharing Economy in Computing: A Systematic Literature Review

The sharing economy has quickly become a very prominent subject of research in the broader computing literature and the in human-computer interaction (HCI) literature more specifically. When other computing research areas have experienced similarly rapid growth (e.g. human computation, eco-feedback technology), early…

TD
Tawanna R. Dillahunt et al.University of Michigan
Sharing Economy
AdRecommended

Learn AI Coding at CodeNow

Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

Explore Nowopen_in_new
emoji_events

[Un]breaking News: Design Opportunities for Enhancing Collaboration in Scientific Media Production

Contemporary scientific media production requires a complex socio-technical infrastructure we call the "Media Production Pipeline" (MPP). Media professionals engage with researchers along the MPP to disseminate science news to the lay public. However, differing incentive structures and professional contexts frequently…

CS
C. Estelle Smith et al.Colorado School of Mines

Never Too Old, Cold or Dry to Watch the Sky: A Survival Analysis of Citizen Science Volunteerism

CoCoRaHS is a multinational citizen science project for observing precipitation. Like many citizen science projects, volunteer retention is a key measure of engagement and data quality. Through survival analysis, we found that participant age (self-reported at account creation) is a significant predictor of retention.…

SS
S. Andrew Sheppard et al.University of Minnesota
Citizen Science and Scientific Research

The Effect of Emotional Cues from the NFL on Wikipedia Contributions

Exploiting evidence that sporting results affect fans’ mood, we analyze whether National Football League game outcomes can affect the contributions of Wikipedia editors who identify as fans of a specific team. We find that the day after a team loses, their fans decrease their contributions towards football-related pag…

WL
Weiwen Leung et al.University of Minnesota
Wikipedia

Quality Standards, Service Orientation, and Power in Airbnb and Couchsurfing

Although Couchsurfing and Airbnb are both online communities that help users host strangers in their homes, they differ in an important sense: Couchsurfing prohibits monetary payment while Airbnb is built around it.We conducted interviews with users experienced on both Couchsurfing and Airbnb (``dual-users'') to bette…

MK
Maximilian A Klein et al.University of Minnesota
Sharing Economy

Content is King, Leadership Lags: Effects of Prior Experience on Newcomer Retention and Productivity in Online Production Groups

Organizers of online groups often struggle to recruit members who can most effectively carry out the group's activities and remain part of the group over time. In a study of a sample of 30,000 new editors belonging to 1,054 English WikiProjects, we empirically examine the effects of generalized prior work-productivity…

RK
Raghav Pavan Karumur et al.University of Minnesota

Out With The Old, In With The New? Unpacking Member Turnover in Online Production Groups

Nearly any group is subject to \textit{turnover}: some people leave, while others join. Turnover can be especially high in online groups, since participation typically is strictly voluntary. We investigated the effects of member turnover in online groups, specifically in Wikipedia's WikiProjects. We based our studies…

BY
Bowen Yu et al.University of Minnesota
Production and Productivity

Value-Sensitive Algorithm Design: Method, Case Study, and Lessons

Most commonly used approaches to developing automated or artificially intelligent algorithmic systems are Big Data-driven and machine learning-based. However, these approaches can fail, for two notable reasons: (1) they may lack critical engagement with users and other stakeholders; (2) they rely largely on historical…

HZ
Haiyi Zhu et al.University of Minnesota
Wikipedia

T-Cal: Understanding Team Conversational Data with Calendar-based Visualization

Understanding team communication and collaboration patterns is critical for improving work efficiency in organizations. This paper presents an interactive visualization system, T-Cal, that supports the analysis of conversation data from modern team messaging platforms (e.g., Slack). T-Cal employs a user-familiar visua…

SF
Siwei Fu et al.Hong Kong University of Science and Technology