{"title":"为了健康多做手势!理解手势作为微任务众包输入方式的使用","authors":"Garrett Allen, Andrea Hu, U. Gadiraju","doi":"10.1609/hcomp.v10i1.21984","DOIUrl":null,"url":null,"abstract":"Human input is pivotal in building reliable and robust artificial intelligence systems. By providing a means to gather diverse, high-quality, representative, and cost-effective human input on demand, microtask crowdsourcing marketplaces have thrived. Despite the unmistakable benefits available from online crowd work, the lack of health provisions and safeguards, along with existing work practices threatens the sustainability of this paradigm. Prior work has investigated worker engagement and mental health, yet no such investigations into the effects of crowd work on the physical health of workers have been undertaken. Crowd workers complete their work in various sub-optimal work environments, often using a conventional input modality of a mouse and keyboard. The repetitive nature of microtask crowdsourcing can lead to stress-related injuries, such as the well-documented carpal tunnel syndrome. It is known that stretching exercises can help reduce injuries and discomfort in office workers. Gestures, the act of using the body intentionally to affect the behavior of an intelligent system, can serve as both stretches and an alternative form of input for microtasks. To better understand the usefulness of the dual-purpose input modality of ergonomically-informed gestures across different crowdsourced microtasks, we carried out a controlled 2 x 3 between-subjects study (N=294). Considering the potential benefits of gestures as an input modality, our results suggest a real trade-off between worker accuracy in exchange for potential short to long-term health benefits.","PeriodicalId":87339,"journal":{"name":"Proceedings of the ... AAAI Conference on Human Computation and Crowdsourcing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Gesticulate for Health's Sake! Understanding the Use of Gestures as an Input Modality for Microtask Crowdsourcing\",\"authors\":\"Garrett Allen, Andrea Hu, U. Gadiraju\",\"doi\":\"10.1609/hcomp.v10i1.21984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Human input is pivotal in building reliable and robust artificial intelligence systems. By providing a means to gather diverse, high-quality, representative, and cost-effective human input on demand, microtask crowdsourcing marketplaces have thrived. Despite the unmistakable benefits available from online crowd work, the lack of health provisions and safeguards, along with existing work practices threatens the sustainability of this paradigm. Prior work has investigated worker engagement and mental health, yet no such investigations into the effects of crowd work on the physical health of workers have been undertaken. Crowd workers complete their work in various sub-optimal work environments, often using a conventional input modality of a mouse and keyboard. The repetitive nature of microtask crowdsourcing can lead to stress-related injuries, such as the well-documented carpal tunnel syndrome. It is known that stretching exercises can help reduce injuries and discomfort in office workers. Gestures, the act of using the body intentionally to affect the behavior of an intelligent system, can serve as both stretches and an alternative form of input for microtasks. To better understand the usefulness of the dual-purpose input modality of ergonomically-informed gestures across different crowdsourced microtasks, we carried out a controlled 2 x 3 between-subjects study (N=294). Considering the potential benefits of gestures as an input modality, our results suggest a real trade-off between worker accuracy in exchange for potential short to long-term health benefits.\",\"PeriodicalId\":87339,\"journal\":{\"name\":\"Proceedings of the ... AAAI Conference on Human Computation and Crowdsourcing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ... 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引用次数: 2
摘要
人的输入是建立可靠和强大的人工智能系统的关键。通过提供一种方法来收集多样化、高质量、具有代表性和成本效益的人力投入,微任务众包市场蓬勃发展。尽管在线人群工作带来了明显的好处,但缺乏卫生规定和保障,加上现有的工作做法,威胁着这种模式的可持续性。先前的工作调查了工人的敬业度和心理健康,但没有对群体工作对工人身体健康的影响进行过此类调查。群体工作者在各种次优的工作环境中完成工作,通常使用鼠标和键盘的传统输入方式。微任务众包的重复性会导致与压力相关的伤害,比如有充分证据的腕管综合征。众所周知,伸展运动可以帮助办公室职员减少受伤和不适。手势是一种有意使用身体来影响智能系统行为的行为,可以作为微任务的延伸和另一种输入形式。为了更好地理解人机工程学手势在不同众包微任务中的双重输入方式的有用性,我们进行了一项对照2 x 3的受试者间研究(N=294)。考虑到手势作为一种输入方式的潜在好处,我们的研究结果表明,工人的准确性与潜在的短期和长期健康益处之间存在真正的权衡。
Gesticulate for Health's Sake! Understanding the Use of Gestures as an Input Modality for Microtask Crowdsourcing
Human input is pivotal in building reliable and robust artificial intelligence systems. By providing a means to gather diverse, high-quality, representative, and cost-effective human input on demand, microtask crowdsourcing marketplaces have thrived. Despite the unmistakable benefits available from online crowd work, the lack of health provisions and safeguards, along with existing work practices threatens the sustainability of this paradigm. Prior work has investigated worker engagement and mental health, yet no such investigations into the effects of crowd work on the physical health of workers have been undertaken. Crowd workers complete their work in various sub-optimal work environments, often using a conventional input modality of a mouse and keyboard. The repetitive nature of microtask crowdsourcing can lead to stress-related injuries, such as the well-documented carpal tunnel syndrome. It is known that stretching exercises can help reduce injuries and discomfort in office workers. Gestures, the act of using the body intentionally to affect the behavior of an intelligent system, can serve as both stretches and an alternative form of input for microtasks. To better understand the usefulness of the dual-purpose input modality of ergonomically-informed gestures across different crowdsourced microtasks, we carried out a controlled 2 x 3 between-subjects study (N=294). Considering the potential benefits of gestures as an input modality, our results suggest a real trade-off between worker accuracy in exchange for potential short to long-term health benefits.