Search (4 results, page 1 of 1)

  • × author_ss:"Nov, O."
  • × language_ss:"e"
  • × year_i:[2010 TO 2020}
  1. Nakayama, S.; Tolbert, T.J.; Nov, O.; Porfiri, M.: Social information as a means to enhance engagement in citizen science-based telerehabilitation (2019) 0.02
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    Abstract
    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.
  2. Nov, O.; Naaman, M.; Ye, C.: Analysis of participation in an online photo-sharing community : a multidimensional perspective (2010) 0.01
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    Abstract
    In recent years we have witnessed a significant growth of social-computing communities - online services in which users share information in various forms. As content contributions from participants are critical to the viability of these communities, it is important to understand what drives users to participate and share information with others in such settings. We extend previous literature on user contribution by studying the factors that are associated with various forms of participation in a large online photo-sharing community. Using survey and system data, we examine four different forms of participation and consider the differences between these forms. We build on theories of motivation to examine the relationship between users' participation and their motivations with respect to their tenure in the community. Amongst our findings, we identify individual motivations (both extrinsic and intrinsic) that underpin user participation, and their effects on different forms of information sharing; we show that tenure in the community does affect participation, but that this effect depends on the type of participation activity. Finally, we demonstrate that tenure in the community has a weak moderating effect on a number of motivations with regard to their effect on participation. Directions for future research, as well as implications for theory and practice, are discussed.
    Theme
    Social tagging
  3. Laut, J.; Cappa, F.; Nov, O.; Porfiri, M.: Increasing citizen science contribution using a virtual peer (2017) 0.01
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    Abstract
    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.
  4. Nov, O.; Laut, J.; Porfiri, M.: Using targeted design interventions to encourage extra-role crowdsourcing behavior (2016) 0.00
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    Date
    22. 1.2016 14:43:06