Community engagements with living sensing systems

Kuznetsov, Stacey; Harrigan-Anderson, Will; Faste, Haakon; Hudson, Scott E.; Paulos, Eric

doi:10.1145/2466627.2466638

Cited by 20 publications

(10 citation statements)

References 34 publications

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“…While researchers have studied many aspects of community sensing systems, including the influence of different design features on user engagement [16,26,18,48], data quality and reliability [40,43], novel forms of data visualisation [25,48], new perspectives on materiality [27], and the need to support orchestration for data gathering campaigns [12], there is little work exploring long term user participation with crowdfunded participatory sensing initiatives. As crowdfunding becomes a more common mechanism to fund and deploy tools for collaborative social action, there is a need to better understand: 1) how communities emerge around and appropriate the technologies they crowdfund in order to attempt to effect positive change; and 2) how these bottom-up approaches compare to more conventional ones such as those adopted in citizen science.…”

Section: Purposesmentioning

confidence: 99%

IoT Community Technologies: Leaving Users to Their Own Devices or Orchestration of Engagement?

Balestrini¹,

Díez²,

Marshall³

et al. 2015

EAI Endorsed Trans IoT

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Citizens are increasingly crowdfunding IoT based participatory sensing technologies that allow them to collect and share data about the environment. These initiatives are usually referred to as grassroots and are driven by a vision of widening access to tools for political action. In this paper we compare patterns of participation and user experience over 15 months in two distinct communities using 'Smart Citizen', a crowdfunded IoT participatory sensing tool. Our studies reveal that technology issues and a lack of reliability of the sensed data hindered user participation. However, in one of the communities, many of these challenges were overcome through orchestrated actions led by community champions. We discuss how crowdfunding doesn't necessarily translate into active participation and provide guidelines on how to achieve sustained engagement in crowdfunded IoT community sensing projects: enable distributed orchestration provided by local champions, encourage social interactions that embed skills and learning, and facilitate meaningful participation and reward mechanisms among community members.

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Section: Purposesmentioning

confidence: 99%

IoT Community Technologies: Leaving Users to Their Own Devices or Orchestration of Engagement?

Balestrini¹,

Díez²,

Marshall³

et al. 2015

EAI Endorsed Trans IoT

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“…Avoiding "opportunities that users might take to reflect on their actions" has even been described as a trick used by designers to maintain player engagement (Whitson et al 2008). It could be that slower forms of interaction are required to promote complex cognitive processes such as understanding (Kuznetsov et al 2013).…”

Section: Domains Of Knowledgementioning

confidence: 99%

Engagement in HCI

Doherty

2018

ACM Comput. Surv.

159

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Engaging users is a priority for designers of products and services of every kind. The need to understand users' experiences has motivated a focus on user engagement across computer science. However, to date, there has been limited review of how Human-Computer Interaction and computer science research interprets and employs the concept. Questions persist concerning its conception, abstraction, and measurement. This article presents a systematic review of engagement spanning a corpus of 351 articles and 102 definitions. We map the current state of engagement research, including the diverse interpretation, theory, and measurement of the concept. We describe the ecology of engagement and strategies for the design of engaging experiences, discuss the value of the concept and its relationship to other terms, and present a set of guidelines and opportunities for future research.

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“…Kuznetsov et al in 2011 [30] developed a monitoring system which involves low-cost air quality sensors and web-based visualizations. In 2013, Kuznetsov et al [31] designed a bio-electronic soil sensor to detect bacterial activities and visualized the data by using LED matrices and an LCD screen on a wooden enclosure. Kuznetsov et al in 2014 [32] presented a low-tech and low-cost paper sensor for collecting particulate pollution in the air.…”

Section: Gathering and Managing Sensor Datamentioning

confidence: 99%

Community-Empowered Air Quality Monitoring System

Hsu

Dille

Cross

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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Developing information technology to democratize scientific knowledge and support citizen empowerment is a challenging task. In our case, a local community suffered from air pollution caused by industrial activity. The residents lacked the technological fluency to gather and curate diverse scientific data to advocate for regulatory change. We collaborated with the community in developing an air quality monitoring system which integrated heterogeneous data over a large spatial and temporal scale. The system afforded strong scientific evidence by using animated smoke images, air quality data, crowdsourced smell reports, and wind data. In our evaluation, we report patterns of sharing smoke images among stakeholders. Our survey study shows that the scientific knowledge provided by the system encourages agonistic discussions with regulators, empowers the community to support policy making, and rebalances the power relationship between stakeholders.

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Community engagements with living sensing systems

Cited by 20 publications

References 34 publications

IoT Community Technologies: Leaving Users to Their Own Devices or Orchestration of Engagement?

IoT Community Technologies: Leaving Users to Their Own Devices or Orchestration of Engagement?

Engagement in HCI

Community-Empowered Air Quality Monitoring System

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