Robert Swain's research while affiliated with University of Vermont and other places

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Publications (2)

Table 1. Descriptive statistics of the three crowdsourced surveys.
Fig 1. The Crowdsourcing Algorithm. Illustration of the crowdsourced...
Fig 2. Number of Questions Submitted. Plots (a) and (b) use the...
Table 2. Childhood BMI: Top 5 Questions by Rank in a Stepwise Linear...
+12 Table 3. EnergyMinder: Top 5 Questions by Rank in a Stepwise Linear Model.
Participation and Contribution in Crowdsourced Surveys
Article
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  • Apr 2015
This paper identifies trends within and relationships between the amount of participation and the quality of contributions in three crowdsourced surveys. Participants were asked to perform a collective problem solving task that lacked any explicit incentive: they were instructed not only to respond to survey questions but also to pose new questions...
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Figure 1. Flow chart of a user’s interaction with the crowdsour- 
Table 1 . Participant characteristics.
Figure 2. Screenshot showing the landing page of the crowdsourcing...
Figure 3. Screenshot showing a question page on the crowdsourcing...
+3 Table 3 . What crowd-suggested childhood markers for adult BMI are...
Crowdsourcing Novel Childhood Predictors of Adult Obesity
Article
Full-text available
  • Feb 2014
Effective and simple screening tools are needed to detect behaviors that are established early in life and have a significant influence on weight gain later in life. Crowdsourcing could be a novel and potentially useful tool to assess childhood predictors of adult obesity. This exploratory study examined whether crowdsourcing could generate well-do...
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Citations

... The second set of studies all consider the non-expert design of predictive features, that is, crowdsourced feature engineering (Bongard et al., 2013;Bevelander et al., 2014;Swain et al., 2015;Wagy et al., 2017). This work studies the crowdsourcing of survey questions in multiple problem domains. ...
Reference: Democratizing AI: non-expert design of prediction tasks
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... Whereas experimental research shows that even short-term teasing can negatively alter one's mood (16), more intense and malicious verbal bullying could last for many years (17). It can lead to shame (18), stress (19), eating disorders (20), obesity (9), binge eating (21), and depression (22). This can affect all genders and is believed to be both more prevalent and more serious than in the past (1) due to the large prevalence of 24/7 social media (23). ...
Reference: Body Shaming vs. Body Positivity: Exploring What Words Hurt and What Words Heal
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