Community-based crowdsourcing

Brambilla, Marco; Ceri, Stefano; Mauri, Andrea; Volonterio, Riccardo

doi:10.1145/2567948.2578835

Cited by 10 publications

(12 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We focus on eliciting visual feedback from unpaid community members of an operational website. As such, our approach uses community-based crowdsourcing [6] or community sourcing [20]. The feedback requester in our system is the web designer or the web developer.…”

Section: Design Feedback From the Non-expert Crowdmentioning

confidence: 99%

CrowdUI: Supporting Web Design with the Crowd

Oppenlaender

Tiropanis

Hosio

2020

Proc. ACM Hum.-Comput. Interact.

View full text Add to dashboard Cite

Web design is a complex and challenging task. It involves making many design decisions that materialise preconceived notions of user needs that may or may not be true. In this paper, we investigate supporting the co-design of a website with visual feedback elicited from the website's community of users. Website users can express their needs by rearranging and modifying the website's layout and design. To explore and validate this idea, we present CrowdUI, a web-based tool that enables members of the community of a website to visually express their design improvement ideas, frustrations and needs, and to send this feedback to the person in charge of designing or maintaining the website. CrowdUI is validated in a study with 45 users of a popular social media and networking website. Second, our qualitative evaluation with 60 experienced web developers shows that CrowdUI is able to elicit diverse and meaningful feedback. Put together, our results suggest that CrowdUI's approach constitutes a productive setting for eliciting visual feedback from the user community as a complement to traditional ways of eliciting feedback and participatory design. Finally, based on our experiences, we discuss a design space for crowdsourced web design and provide design recommendations for similar future tools. CCS Concepts: • Human-centered computing → Human computer interaction (HCI); User studies; User interface toolkits; • Information systems → Crowdsourcing.

show abstract

Section: Design Feedback From the Non-expert Crowdmentioning

confidence: 99%

CrowdUI: Supporting Web Design with the Crowd

Oppenlaender

Tiropanis

Hosio

2020

Proc. ACM Hum.-Comput. Interact.

View full text Add to dashboard Cite

show abstract

“…[15] reported that crowd-sourcing can be expensive or unreliable as it requires no or little expertise from participants and no supervision of participants [16]. Similarly, [17][18][19][20] contend that crowd-sourcing is a powerful mechanism for outsourcing tasks which are traditionally performed by a specialist or small group of experts for a large group of community. Crowdsourcing has long been recognized as a potential of solving problems that require humans (i.e., where technology either cannot complete the task or where people can do it better).…”

Section: Obstacle Annotation and Crowdsourcingmentioning

confidence: 99%

Developing an Intelligent PostGIS Database to Support Accessibility Tools for Urban Pedestrians

et al. 2018

View full text Add to dashboard Cite

People with mobility impairment must travel through cities with extra care. An intelligent database of Maps for Easy Paths (MEP) project for storing and retrieving accessibility information about a particular path by using PostGIS may enable the public to enjoy the privilege of the technology that alleviates the problem of city accessibility through the Web or, more recently, through smartphones/tablet applications. The methods and techniques for intelligent database to storeand retrieve accessibility information by using a relational intelligent PostGIS database are described. The conceptual data model is designed for an intelligent database (PostGIS). Users will be able to actively participate in the process of taking pictures of obstacles, uploading them to the MEP server and giving some comments on the attributes of the picture of the barrier. The resulting data will help others to locate and evaluate paths. This paper presents the conceptual data model design as well as a review of features of the data of the existing systems. Therefore, the novelty of this approach lies in developing an intelligent database for the enrichment of geographical maps with information about the accessibility of urban pedestrian areas for people with mobility problems.

show abstract

“…al. [32] in the form of a control-mart for dynamic adaptations during task executions. recognized as services.KM-P has different tasks, which a knowledge space tries to execute.…”

Section: Findings and Challengesmentioning

confidence: 99%

Human Computations in Citizen Crowds: A Knowledge Management Solution Framework

Khan

Shaikh²,

Shaikh³

2018

Mehran Univ. res. j. eng. technol.

View full text Add to dashboard Cite

In this paper, we present an attempt to create a framework by implementing a simple solution, called ExamCheck, to focus on the generation of knowledge, feedback on that knowledge and recording the results of that knowledge in academic settings. Our solution, based on HC, shows that a structured KM framework can address a complex problem in a context that is important for participants themselves. KM in citizen crowds makes use of inbuilt human habits of participatory problem-solving to externalize human cognition and memory, including machine-centric argumentation through information management and strategy encapsulated in process workflows [7]. In general, communities seek innovative outcomes when a large number of their members face similar problems, which we call PCI (Problems of Common Interest). These problems mainly relate to people such that they face and solve them using collaboration and collective intelligence. In terms of crowdsourced HC, both requestors and workers share problem and solution domains. We believe that the core underlying problem is in selecting one out of many solutions, thus the need to expressed the problem as a KM process. This paper is organized in seven sections: this introduction, background and related work, the scanrio-

show abstract

Community-based crowdsourcing

Cited by 10 publications

References 15 publications

CrowdUI: Supporting Web Design with the Crowd

CrowdUI: Supporting Web Design with the Crowd

Developing an Intelligent PostGIS Database to Support Accessibility Tools for Urban Pedestrians

Human Computations in Citizen Crowds: A Knowledge Management Solution Framework

Contact Info

Product

Resources

About