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Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
Introducing People With Asd To Crowd Work, Kotaro Hara, Jeffrey P. Bigham
Introducing People With Asd To Crowd Work, Kotaro Hara, Jeffrey P. Bigham
Research Collection School Of Computing and Information Systems
Adults with Autism Spectrum Disorders (ASD) are unemployed at a high rate, in part because the constraints and expectations of traditional employment can be difficult for them. In this paper, we report on our work in introducing people with ASD to remote work on a crowdsourcing platform and a prototype tool we developed by working with participants. We conducted a six-week long user-centered design study with three participants with ASD. The early stage of the study focused on assessing the abilities of our participants to search and work on micro-tasks available on the crowdsourcing market. Based on our preliminary findings, …
Crowdsourcing: A New Tool For Policy-Making?, Araz Taeihagh
Crowdsourcing: A New Tool For Policy-Making?, Araz Taeihagh
Research Collection School of Social Sciences
Crowdsourcing is rapidly evolving and applied in situations where ideas, labour, opinion or expertise of large groups of people is used. Crowdsourcing is now used in various policy-making initiatives; however, this use has usually focused on open collaboration platforms and specific stages of the policy process, such as agenda-setting and policy evaluations. Other forms of crowdsourcing have been neglected in policy-making, with a few exceptions. This article examines crowdsourcing as a tool for policy-making and explores the nuances of the technology and its use and implications for different stages of the policy process. The article addresses questions surrounding the role …
Measuring Fine-Grained Metro Interchange Time Via Smartphones, Weixi Gu, Kai Zhang, Zimu Zhou, Ming Jin, Yuxun Zhou, Xi Liu, Costas J. Spanos, Zuo-Jun (Max) Shen, Wei-Hua Lin, Lin Zhang
Measuring Fine-Grained Metro Interchange Time Via Smartphones, Weixi Gu, Kai Zhang, Zimu Zhou, Ming Jin, Yuxun Zhou, Xi Liu, Costas J. Spanos, Zuo-Jun (Max) Shen, Wei-Hua Lin, Lin Zhang
Research Collection School Of Computing and Information Systems
High variability interchange times often significantly affect the reliability of metro travels. Fine-grained measurements of interchange times during metro transfers can provide valuable insights on the crowdedness of stations, usage of station facilities and efficiency of metro lines. Measuring interchange times in metro systems is challenging since agentoperated systems like automatic fare collection systems only provide coarse-grained trip information and popular localization services like GPS are often inaccessible underground. In this paper, we propose a smartphone-based interchange time measuring method from the passengers’ perspective. It leverages low-power sensors embedded in modern smartphones to record ambient contextual features, and utilizes a …
Smartphone Sensing Meets Transport Data: A Collaborative Framework For Transportation Service Analytics, Yu Lu, Archan Misra, Wen Sun, Huayu Wu
Smartphone Sensing Meets Transport Data: A Collaborative Framework For Transportation Service Analytics, Yu Lu, Archan Misra, Wen Sun, Huayu Wu
Research Collection School Of Computing and Information Systems
We advocate for and introduce TRANSense, a framework for urban transportation service analytics that combines participatory smartphone sensing data with city-scale transportation-related transactional data (taxis, trains etc.). Our work is driven by the observed limitations of using each data type in isolation: (a) commonly-used anonymous city-scale datasets (such as taxi bookings and GPS trajectories) provide insights into the aggregate behavior of transport infrastructure, but fail to reveal individual-specific transport experiences (e.g., wait times in taxi queues); while (b) mobile sensing data can capture individual-specific commuting-related activities, but suffers from accuracy and energy overhead challenges due to usage artefacts and lack …
Examination Of Crowdsourcing As A Tool For Policy Making, Araz Taeihagh
Examination Of Crowdsourcing As A Tool For Policy Making, Araz Taeihagh
Research Collection School of Social Sciences
Crowdsourcing is rapidly evolving and applied in situations where ideas, labour, opinion or expertise of large groups of people are used. Crowdsourcing is now used in various policy making initiatives; however, this use has usually been focused on open collaboration platforms and specific stages of the policy process such as agenda- setting and policy evaluations. Moreover, other forms of crowdsourcing have been neglected in policy making with a few exceptions. This article examines crowdsourcing as a tool for policy making and explores the nuances of the technology and its use and implications for different stages of the policy process. The …
Crowdsourcing, Sharing Economy And Development, Araz Taeihagh
Crowdsourcing, Sharing Economy And Development, Araz Taeihagh
Research Collection School of Social Sciences
What are the similarities and differences betweencrowdsourcing and sharing economy? What factors influence their use indeveloping countries? In light of recent developments in the use of IT-mediatedtechnologies, such as crowdsourcing and the sharing economy, this manuscriptexamines their similarities and differences, and the challenges regarding theireffective use in developing countries. We first examine each individually andhighlight different forms of each IT-mediated technology. Given that crowdsourcingand sharing economy share aspects such as the use of IT, a reliance on crowds,monetary exchange, and the use of reputation systems, we systematically comparethe similarities and differences of different types of crowdsourcing with the sharingeconomy, thus …