The impact of image descriptions on user tagging behavior: A study of the nature and functionality of crowdsourced tags

et al. 2018

Advancements in computer‐mediated exercise put forward the feasibility of telerehabilitation, but it remains a challenge to retain patients' engagement in exercises. Building on our previous study demonstrating enhanced engagement in citizen science through social information about others' contributions, we propose a novel framework for effective telerehabilitation that integrates citizen science and social information into physical exercise. We hypothesized that social information about others' contributions would augment engagement in physical activity by encouraging people to invest more effort toward discovery of novel information in a citizen science context. We recruited healthy participants to monitor the environment of a polluted canal by tagging images using a haptic device toward gathering environmental information. Along with the images, we displayed the locations of the tags created by the previous participants. We found that participants increased both the amount and duration of physical activity when presented with a larger number of the previous tags. Further, they increased the diversity of tagged objects by avoiding the locations tagged by the previous participants, thereby generating richer information about the environment. Our results suggest that social information is a viable means to augment engagement in rehabilitation exercise by incentivizing the contribution to scientific activities.

Section: Discussionsupporting

confidence: 83%

Social Information as a Means to Enhance Engagement in Citizen Science‐Based Telerehabilitation

Nakayama

Tolbert

et al. 2018

“…When collaborating as a group in an online project, diversity in experience has been shown to increase productivity and member retention (Chen, Ren, & Riedl, ; Arazy et al, ). In image tagging for digital libraries and other collections, providing a description along with the image can affect diversity and specificity of tags (Lin, Trattner, Brusilovsky, & He, ). In social media participation, lack of attention has been correlated with a decrease in level of contribution (Wu, Wilkinson, & Huberman, ), whereas in the context of content creation, productivity has been linked to the level of attention received (Huberman, Romero, & Wu, ).…”

Section: Introductionmentioning

confidence: 99%

Increasing citizen science contribution using a virtual peer

Laut

Cappa

et al. 2016

Online participation is becoming an increasingly common means for individuals to contribute to citizen science projects, yet such projects often rely on only a small fraction of participants to make the majority of contributions. Here, we investigate a means for influencing the performance of citizen scientists toward enhancing overall participation. Building on past social comparison research, we pair citizen scientists with a software-based virtual peer in an environmental monitoring project. Through a series of experiments in which virtual peers outperform, underperform, or perform similarly to human participants, we investigate the influence of their presence on citizen science participation. To offer insight into the psychological determinants to the response to this intervention, we propose a new dynamic model describing the bidirectional interaction between humans and virtual peers. Our results demonstrate that participant contribution can be enhanced through the presence of a virtual peer, creating a feedback loop where participants tend to increase or decrease their contribution in response to their peers' performance. By including virtual peers that systematically outperform the participants, we demonstrate a fourfold increase in their contribution to the citizen science project.

“…Amazon Mechanical Turk is a crowdsourcing marketplace for online tasks widely used for experimental research in various fields, including information science (Lin, Trattner, Brusilovsky, & He, 2015) and human-computer interaction (Komarov, Reinecke, & Gajos, 2013). Amazon Mechanical Turk is a crowdsourcing marketplace for online tasks widely used for experimental research in various fields, including information science (Lin, Trattner, Brusilovsky, & He, 2015) and human-computer interaction (Komarov, Reinecke, & Gajos, 2013).…”

Section: Participants and Reward Mechanismmentioning

confidence: 99%

“…We recruited participants via Amazon Mechanical Turk and limited participation to U.S. users with a record of at least 100 tasks at an approval rate above 99%. Amazon Mechanical Turk is a crowdsourcing marketplace for online tasks widely used for experimental research in various fields, including information science (Lin, Trattner, Brusilovsky, & He, 2015) and human-computer interaction (Komarov, Reinecke, & Gajos, 2013). We relied on U.S. participants to increase the validity of the study and make it reflective of what participants may encounter throughout their saving careers.…”

Section: Participants and Reward Mechanismmentioning

confidence: 99%

Using interactive “Nutrition labels” for financial products to assist decision making under uncertainty

Gunaratne

2017

Product information labels can help users understand complex information, leading them to make better decisions. One area where consumers are particularly prone to make costly decision-making errors is long-term saving, which requires understanding of complex concepts such as uncertainty and trade-offs. Although most people are poorly equipped to deal with such concepts, interactive design can potentially help users make better decisions. We developed an interactive information label to assist consumers with retirement saving decision-making. To evaluate it, we exposed 450 users to one of four user interface conditions in a retirement saving simulator where they made 35 yearly decisions under changing circumstances. We found a significantly better ability of users to reach their goals with the information label. Furthermore, users who interacted with the label made better decisions than those who were presented with a static information label. Lastly, we found the label particularly effective in helping novice savers.