This dissertation investigates how businesses are able to align the collective actions of a disconnected crowd with the strategic goals of the organization. I examined this questions within the ...context of the business review website Yelp through a quantitative analysis of nearly 60,000 business reviews, 17 in-depth qualitative interviews with reviewers, and a two-year ethnography. Interpreting the results of this data within the framework of the collective action space (Bimber, Flanagin, & Stohl, 2012) indicates that Yelp is able to manage the contributions of a relatively small subset of reviewers through the Yelp Elite Squad. Rather than simply motivating more reviews, the Elite Squad encouraged reviewers to interact more personally with other reviewers and accept increased institutional engagement with Yelp. In encouraging members of the crowd to produce online reviews within this context, Yelp was able to use organizational culture as a control strategy for encouraging Elite reviewers to adopt a pre-mediated reviewing approach to their reviews. This increased the frequency of moderate reviews and decreased the frequency of extreme reviews. This behavior ultimately furthers the organizational goals of Yelp, as moderate reviews are considered to be more helpful for reviews of businesses. Finally, implications for crowdsourcing, big data analysis, and theory are discussed.
Artificial Swarm Intelligence (ASI) is a method for amplifying the collective intelligence of human groups by connecting networked participants into real-time systems modeled after natural swarms and ...moderated by AI algorithms. ASI has been shown to amplify performance in a wide range of tasks, from forecasting financial markets to prioritizing conflicting objectives. This study explores the ability of ASI systems to amplify the social intelligence of small teams. A set of 61 teams, each of 3 to 6 members, was administered a standard social sensitivity test -"Reading the Mind in the Eyes" or RME. Subjects took the test both as individuals and as ASI systems (i.e. "swarms"). The average individual scored 24 of 35 correct (32% error) on the RME test, while the average ASI swarm scored 30 of 35 correct (15% error). Statistical analysis found that the groups working as ASI swarms had significantly higher social sensitivity than individuals working alone or groups working together by plurality vote (p<O.OOI). This suggests that when groups reach decisions as real-time ASI swarms, they make better use of their social intelligence than when working alone or by traditional group vote.
Measuring Group Personality with Swarm AI Willcox, Gregg; Askay, David; Rosenberg, Louis ...
2019 First International Conference on Transdisciplinary AI (TransAI),
2019-Sept.
Conference Proceeding
Odprti dostop
The aggregation of individual personality tests to predict team performance is widely accepted in management theory but has significant limitations: the isolated nature of individual personality ...surveys fails to capture much of the team dynamics that drive real-world team performance. Artificial Swarm Intelligence (ASI), a technology that enables networked teams to think together in real-time and answer questions as a unified system, promises a solution to these limitations by enabling teams to take personality tests together, whereby the team uses ASI to converge upon answers that best represent the group's disposition. In the present study, the group personality of 94 small teams was assessed by having teams take a standard Big Five Inventory (BFI) test both as individuals, and as a real-time system enabled by an ASI technology known as Swarm AI. The predictive accuracy of each personality assessment method was assessed by correlating the BFI personality traits to a range of real-world performance metrics. The results showed that assessments of personality generated using Swarm AI were far more predictive of team performance than the traditional survey-based method, showing a significant improvement in correlation with at least 25% of performance metrics, and in no case showing a significant decrease in predictive performance. This suggests that Swarm AI technology may be used as a highly effective team personality assessment tool that more accurately predicts future team performance than traditional survey approaches.
This dissertation investigates how businesses are able to align the collective actions of a disconnected crowd with the strategic goals of the organization. I examined this questions within the ...context of the business review website Yelp through a quantitative analysis of nearly 60,000 business reviews, 17 in-depth qualitative interviews with reviewers, and a two-year ethnography. Interpreting the results of this data within the framework of the collective action space (Bimber, Flanagin, & Stohl, 2012) indicates that Yelp is able to manage the contributions of a relatively small subset of reviewers through the Yelp Elite Squad. Rather than simply motivating more reviews, the Elite Squad encouraged reviewers to interact more personally with other reviewers and accept increased institutional engagement with Yelp. In encouraging members of the crowd to produce online reviews within this context, Yelp was able to use organizational culture as a control strategy for encouraging Elite reviewers to adopt a pre-mediated reviewing approach to their reviews. This increased the frequency of moderate reviews and decreased the frequency of extreme reviews. This behavior ultimately furthers the organizational goals of Yelp, as moderate reviews are considered to be more helpful for reviews of businesses. Finally, implications for crowdsourcing, big data analysis, and theory are discussed.
Virtual reality hypnosis Askay, Shelley Wiechman; Patterson, David R.; Sharar, Sam R.
Contemporary hypnosis : the journal of the British Society of Experimental and Clinical Hypnosis,
March 2009, 2009-Mar, 2009-03-00, 20090301, Letnik:
26, Številka:
1
Journal Article
PDF
