The Experts below are selected from a list of 7086 Experts worldwide ranked by ideXlab platform
Richard D. Reina - One of the best experts on this subject based on the ideXlab platform.
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Sea turtle hatchling locomotor performance: incubation moisture effects, ontogeny and species-specific patterns
Journal of Comparative Physiology B, 2020Co-Authors: Christopher R. Gatto, Richard D. ReinaAbstract:Incubation conditions are critical in determining numerous traits in reptilian neonates. This is particularly significant in species with low offspring survival such as sea turtle species, because of the extremely high predation rates that hatchlings face during their initial dispersal from nesting beaches. Hatchlings that develop in suboptimal nest environments are likely to be smaller, slower and more susceptible to predation than hatchlings from optimal nest environments. Previous studies have focused on the effects of temperature on hatchling traits, but few have investigated the effects of moisture concentrations, despite moisture levels in nests influencing hatchling size, sex, incubation duration, and hatching success. Here, we incubated eggs of three sea turtle species at various moisture levels and tested the terrestrial and aquatic locomotor performance of the resultant hatchlings during the Frenzy and post-Frenzy period. We also compared and evaluated the ontogeny of early locomotor performance for each species over the first months of life. Drier incubation conditions produced hatchlings that crawled more slowly and took longer to self-right than hatchlings from wetter incubation conditions. There was no difference in swimming performance associated with moisture treatments. We suggest that moisture in the nest environment during incubation may influence hatchling performance via their initial hydration levels. Thus, nest moisture influences terrestrial performance (i.e., escaping from the nest and dispersing across the beach), although upon entering the ocean hatchlings have the opportunity to rehydrate by drinking and thus, differences in locomotor performance associated with moisture treatments cease.
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The ontogeny of sea turtle hatchling swimming performance
Biological Journal of the Linnean Society, 2020Co-Authors: Christopher R. Gatto, Richard D. ReinaAbstract:Abstract Sea turtle hatchlings experience high mortality rates during dispersal. To minimize time spent in predator-dense waters, hatchlings typically undergo a period of hyperactivity termed the ‘Frenzy’, characterized by almost continuous swimming for ~24 h. Research has focused on swimming performance during the Frenzy, but our understanding of changes in swimming performance post-Frenzy is limited. Thus, we measured green turtle (Chelonia mydas) hatchling swimming performance during the Frenzy and post-Frenzy when the turtles were 4, 12 and 24 weeks old. Using load cells, we recorded thrust production, stroke rates and the time turtles spent performing various swimming gaits. We found that the proportion of time spent powerstroking and the thrust generation per powerstroke were the main determinants of overall swimming performance. Older, larger turtles generated more thrust per stroke, but the proportion of time spent powerstroking throughout the entire swimming trial did not differ among age groups. Hatchlings have been thought mainly to use currents to reach nursery foraging grounds, and our findings suggest that hatchling swimming might also play an important role in directing hatchlings to optimal nursery habitats, supporting recent studies. Additionally, turtle size is positively related to swimming performance in post-Frenzy turtles, suggesting that faster-growing turtles might have fitness advantages over slower-growing turtles.
Lydia B. Chilton - One of the best experts on this subject based on the ideXlab platform.
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Frenzy collaborative data organization for creating conference sessions
Human Factors in Computing Systems, 2014Co-Authors: Lydia B. Chilton, Felicia Cordeiro, Daniel S. Weld, James A. Landay, Juho Kim, Paul André, Steven Dow, Robert C. Miller, Haoqi ZhangAbstract:Organizing conference sessions around themes improves the experience for attendees. However, the session creation process can be difficult and time-consuming due to the amount of expertise and effort required to consider alternative paper groupings. We present a collaborative web application called Frenzy to draw on the efforts and knowledge of an entire program committee. Frenzy comprises (a) interfaces to support large numbers of experts working collectively to create sessions, and (b) a two-stage process that decomposes the session-creation problem into meta-data elicitation and global constraint satisfaction. Meta-data elicitation involves a large group of experts working simultaneously, while global constraint satisfaction involves a smaller group that uses the meta-data to form sessions. We evaluated Frenzy with 48 people during a deployment at the CSCW 2014 program committee meeting. The session making process was much faster than the traditional process, taking 88 minutes instead of a full day. We found that meta-data elicitation was useful for session creation. Moreover, the sessions created by Frenzy were the basis of the CSCW 2014 schedule.
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CHI - Frenzy: collaborative data organization for creating conference sessions
Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14, 2014Co-Authors: Lydia B. Chilton, Felicia Cordeiro, Daniel S. Weld, James A. Landay, Juho Kim, Paul André, Steven Dow, Robert C. Miller, Haoqi ZhangAbstract:Organizing conference sessions around themes improves the experience for attendees. However, the session creation process can be difficult and time-consuming due to the amount of expertise and effort required to consider alternative paper groupings. We present a collaborative web application called Frenzy to draw on the efforts and knowledge of an entire program committee. Frenzy comprises (a) interfaces to support large numbers of experts working collectively to create sessions, and (b) a two-stage process that decomposes the session-creation problem into meta-data elicitation and global constraint satisfaction. Meta-data elicitation involves a large group of experts working simultaneously, while global constraint satisfaction involves a smaller group that uses the meta-data to form sessions. We evaluated Frenzy with 48 people during a deployment at the CSCW 2014 program committee meeting. The session making process was much faster than the traditional process, taking 88 minutes instead of a full day. We found that meta-data elicitation was useful for session creation. Moreover, the sessions created by Frenzy were the basis of the CSCW 2014 schedule.
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HCOMP (Works in Progress / Demos) - Frenzy: A Platform for Friendsourcing
2013Co-Authors: Lydia B. Chilton, Felicia Cordeiro, Daniel S. Weld, James A. LandayAbstract:Although micro-task crowdwork was popularized by the Mechanical Turk (MTurk) labor-market platform, it is useful in many other contexts and communities as well. Unfortunately, several MTurk design choices, such as worker anonymity and isolation, are problematic in other environments. This paper introduces Frenzy, a platform for friendsourcing. Frenzy helps people who are closely connected in a community complete crowdsourcing tasks on a platform that affords more user control and freedom than traditional crowdsourcing platforms. Our evaluation of Frenzy shows that friendworkers can find meaningful work to do, effectively use discussion to reduce uncertainty, and finish the task. Most importantly, they are happy with the quality of the output and indicate a desire to use Frenzy for their own tasks such as: creating wedding albums, coding social science data, and creating sessions of accepted conference papers.
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Frenzy a platform for friendsourcing
National Conference on Artificial Intelligence, 2013Co-Authors: Lydia B. Chilton, Felicia Cordeiro, Daniel S. Weld, James A. LandayAbstract:Although micro-task crowdwork was popularized by the Mechanical Turk (MTurk) labor-market platform, it is useful in many other contexts and communities as well. Unfortunately, several MTurk design choices, such as worker anonymity and isolation, are problematic in other environments. This paper introduces Frenzy, a platform for friendsourcing. Frenzy helps people who are closely connected in a community complete crowdsourcing tasks on a platform that affords more user control and freedom than traditional crowdsourcing platforms. Our evaluation of Frenzy shows that friendworkers can find meaningful work to do, effectively use discussion to reduce uncertainty, and finish the task. Most importantly, they are happy with the quality of the output and indicate a desire to use Frenzy for their own tasks such as: creating wedding albums, coding social science data, and creating sessions of accepted conference papers.
Christopher R. Gatto - One of the best experts on this subject based on the ideXlab platform.
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Sea turtle hatchling locomotor performance: incubation moisture effects, ontogeny and species-specific patterns
Journal of Comparative Physiology B, 2020Co-Authors: Christopher R. Gatto, Richard D. ReinaAbstract:Incubation conditions are critical in determining numerous traits in reptilian neonates. This is particularly significant in species with low offspring survival such as sea turtle species, because of the extremely high predation rates that hatchlings face during their initial dispersal from nesting beaches. Hatchlings that develop in suboptimal nest environments are likely to be smaller, slower and more susceptible to predation than hatchlings from optimal nest environments. Previous studies have focused on the effects of temperature on hatchling traits, but few have investigated the effects of moisture concentrations, despite moisture levels in nests influencing hatchling size, sex, incubation duration, and hatching success. Here, we incubated eggs of three sea turtle species at various moisture levels and tested the terrestrial and aquatic locomotor performance of the resultant hatchlings during the Frenzy and post-Frenzy period. We also compared and evaluated the ontogeny of early locomotor performance for each species over the first months of life. Drier incubation conditions produced hatchlings that crawled more slowly and took longer to self-right than hatchlings from wetter incubation conditions. There was no difference in swimming performance associated with moisture treatments. We suggest that moisture in the nest environment during incubation may influence hatchling performance via their initial hydration levels. Thus, nest moisture influences terrestrial performance (i.e., escaping from the nest and dispersing across the beach), although upon entering the ocean hatchlings have the opportunity to rehydrate by drinking and thus, differences in locomotor performance associated with moisture treatments cease.
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The ontogeny of sea turtle hatchling swimming performance
Biological Journal of the Linnean Society, 2020Co-Authors: Christopher R. Gatto, Richard D. ReinaAbstract:Abstract Sea turtle hatchlings experience high mortality rates during dispersal. To minimize time spent in predator-dense waters, hatchlings typically undergo a period of hyperactivity termed the ‘Frenzy’, characterized by almost continuous swimming for ~24 h. Research has focused on swimming performance during the Frenzy, but our understanding of changes in swimming performance post-Frenzy is limited. Thus, we measured green turtle (Chelonia mydas) hatchling swimming performance during the Frenzy and post-Frenzy when the turtles were 4, 12 and 24 weeks old. Using load cells, we recorded thrust production, stroke rates and the time turtles spent performing various swimming gaits. We found that the proportion of time spent powerstroking and the thrust generation per powerstroke were the main determinants of overall swimming performance. Older, larger turtles generated more thrust per stroke, but the proportion of time spent powerstroking throughout the entire swimming trial did not differ among age groups. Hatchlings have been thought mainly to use currents to reach nursery foraging grounds, and our findings suggest that hatchling swimming might also play an important role in directing hatchlings to optimal nursery habitats, supporting recent studies. Additionally, turtle size is positively related to swimming performance in post-Frenzy turtles, suggesting that faster-growing turtles might have fitness advantages over slower-growing turtles.
James A. Landay - One of the best experts on this subject based on the ideXlab platform.
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Frenzy collaborative data organization for creating conference sessions
Human Factors in Computing Systems, 2014Co-Authors: Lydia B. Chilton, Felicia Cordeiro, Daniel S. Weld, James A. Landay, Juho Kim, Paul André, Steven Dow, Robert C. Miller, Haoqi ZhangAbstract:Organizing conference sessions around themes improves the experience for attendees. However, the session creation process can be difficult and time-consuming due to the amount of expertise and effort required to consider alternative paper groupings. We present a collaborative web application called Frenzy to draw on the efforts and knowledge of an entire program committee. Frenzy comprises (a) interfaces to support large numbers of experts working collectively to create sessions, and (b) a two-stage process that decomposes the session-creation problem into meta-data elicitation and global constraint satisfaction. Meta-data elicitation involves a large group of experts working simultaneously, while global constraint satisfaction involves a smaller group that uses the meta-data to form sessions. We evaluated Frenzy with 48 people during a deployment at the CSCW 2014 program committee meeting. The session making process was much faster than the traditional process, taking 88 minutes instead of a full day. We found that meta-data elicitation was useful for session creation. Moreover, the sessions created by Frenzy were the basis of the CSCW 2014 schedule.
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CHI - Frenzy: collaborative data organization for creating conference sessions
Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14, 2014Co-Authors: Lydia B. Chilton, Felicia Cordeiro, Daniel S. Weld, James A. Landay, Juho Kim, Paul André, Steven Dow, Robert C. Miller, Haoqi ZhangAbstract:Organizing conference sessions around themes improves the experience for attendees. However, the session creation process can be difficult and time-consuming due to the amount of expertise and effort required to consider alternative paper groupings. We present a collaborative web application called Frenzy to draw on the efforts and knowledge of an entire program committee. Frenzy comprises (a) interfaces to support large numbers of experts working collectively to create sessions, and (b) a two-stage process that decomposes the session-creation problem into meta-data elicitation and global constraint satisfaction. Meta-data elicitation involves a large group of experts working simultaneously, while global constraint satisfaction involves a smaller group that uses the meta-data to form sessions. We evaluated Frenzy with 48 people during a deployment at the CSCW 2014 program committee meeting. The session making process was much faster than the traditional process, taking 88 minutes instead of a full day. We found that meta-data elicitation was useful for session creation. Moreover, the sessions created by Frenzy were the basis of the CSCW 2014 schedule.
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HCOMP (Works in Progress / Demos) - Frenzy: A Platform for Friendsourcing
2013Co-Authors: Lydia B. Chilton, Felicia Cordeiro, Daniel S. Weld, James A. LandayAbstract:Although micro-task crowdwork was popularized by the Mechanical Turk (MTurk) labor-market platform, it is useful in many other contexts and communities as well. Unfortunately, several MTurk design choices, such as worker anonymity and isolation, are problematic in other environments. This paper introduces Frenzy, a platform for friendsourcing. Frenzy helps people who are closely connected in a community complete crowdsourcing tasks on a platform that affords more user control and freedom than traditional crowdsourcing platforms. Our evaluation of Frenzy shows that friendworkers can find meaningful work to do, effectively use discussion to reduce uncertainty, and finish the task. Most importantly, they are happy with the quality of the output and indicate a desire to use Frenzy for their own tasks such as: creating wedding albums, coding social science data, and creating sessions of accepted conference papers.
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Frenzy a platform for friendsourcing
National Conference on Artificial Intelligence, 2013Co-Authors: Lydia B. Chilton, Felicia Cordeiro, Daniel S. Weld, James A. LandayAbstract:Although micro-task crowdwork was popularized by the Mechanical Turk (MTurk) labor-market platform, it is useful in many other contexts and communities as well. Unfortunately, several MTurk design choices, such as worker anonymity and isolation, are problematic in other environments. This paper introduces Frenzy, a platform for friendsourcing. Frenzy helps people who are closely connected in a community complete crowdsourcing tasks on a platform that affords more user control and freedom than traditional crowdsourcing platforms. Our evaluation of Frenzy shows that friendworkers can find meaningful work to do, effectively use discussion to reduce uncertainty, and finish the task. Most importantly, they are happy with the quality of the output and indicate a desire to use Frenzy for their own tasks such as: creating wedding albums, coding social science data, and creating sessions of accepted conference papers.
Haoqi Zhang - One of the best experts on this subject based on the ideXlab platform.
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Frenzy collaborative data organization for creating conference sessions
Human Factors in Computing Systems, 2014Co-Authors: Lydia B. Chilton, Felicia Cordeiro, Daniel S. Weld, James A. Landay, Juho Kim, Paul André, Steven Dow, Robert C. Miller, Haoqi ZhangAbstract:Organizing conference sessions around themes improves the experience for attendees. However, the session creation process can be difficult and time-consuming due to the amount of expertise and effort required to consider alternative paper groupings. We present a collaborative web application called Frenzy to draw on the efforts and knowledge of an entire program committee. Frenzy comprises (a) interfaces to support large numbers of experts working collectively to create sessions, and (b) a two-stage process that decomposes the session-creation problem into meta-data elicitation and global constraint satisfaction. Meta-data elicitation involves a large group of experts working simultaneously, while global constraint satisfaction involves a smaller group that uses the meta-data to form sessions. We evaluated Frenzy with 48 people during a deployment at the CSCW 2014 program committee meeting. The session making process was much faster than the traditional process, taking 88 minutes instead of a full day. We found that meta-data elicitation was useful for session creation. Moreover, the sessions created by Frenzy were the basis of the CSCW 2014 schedule.
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CHI - Frenzy: collaborative data organization for creating conference sessions
Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14, 2014Co-Authors: Lydia B. Chilton, Felicia Cordeiro, Daniel S. Weld, James A. Landay, Juho Kim, Paul André, Steven Dow, Robert C. Miller, Haoqi ZhangAbstract:Organizing conference sessions around themes improves the experience for attendees. However, the session creation process can be difficult and time-consuming due to the amount of expertise and effort required to consider alternative paper groupings. We present a collaborative web application called Frenzy to draw on the efforts and knowledge of an entire program committee. Frenzy comprises (a) interfaces to support large numbers of experts working collectively to create sessions, and (b) a two-stage process that decomposes the session-creation problem into meta-data elicitation and global constraint satisfaction. Meta-data elicitation involves a large group of experts working simultaneously, while global constraint satisfaction involves a smaller group that uses the meta-data to form sessions. We evaluated Frenzy with 48 people during a deployment at the CSCW 2014 program committee meeting. The session making process was much faster than the traditional process, taking 88 minutes instead of a full day. We found that meta-data elicitation was useful for session creation. Moreover, the sessions created by Frenzy were the basis of the CSCW 2014 schedule.