Rajan Vaish

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To lower the threshold to participation in crowdsourcing, we present twitch crowdsourcing: crowdsourcing via quick contributions that can be completed in one or two seconds. We introduce Twitch, a mobile phone application that asks users to make a micro-contribution each time they unlock their phone. Twitch takes advantage of the common habit of turning to(More)
3D displays are increasingly popular in consumer and commercial applications. Many such displays show 3D images to viewers wearing special glasses, while showing an incomprehensible double image to viewers without glasses. We demonstrate a simple method that provides those with glasses a 3D experience, while viewers without glasses see a 2D image without(More)
—Microwork in cybercafés is a promising tool for poverty alleviation. For those who cannot afford a computer, cybercafés can serve as a simple payment channel and as a platform to work. However, there are questions about whether workers are interested in working in cybercafés, whether cybercafé owners are willing to host such a set up, and whether workers(More)
When crowdsourcing systems are used in combination with machine inference systems in the real world, they benefit the most when the machine system is deeply integrated with the crowd workers. However, if researchers wish to integrate the crowd with " off-the-shelf " machine classifiers, this deep integration is not always possible. This work explores two(More)
Crowdsourcing marketplaces provide opportunities for autonomous and collaborative professional work as well as social engagement. However, in these marketplaces, workers feel disrespected due to unreasonable rejections and low payments, whereas requesters do not trust the results they receive. The lack of trust and uneven distribution of power among workers(More)
—Currently, Reflectance Transformation Imaging (RTI) technology is restricted to desktop and high performance computing devices. In recent years, mobile devices and tablets have become ubiquitous due to their increased performance. However, the size of RTI files (≈100 MB) limits the range of portable devices capable of displaying RTI files. In this paper,(More)
While there has been a surge of interest in mobilizing the crowd to solve large-scale time-critical challenges, to date such work has focused on high-income countries and Internet-based solutions. In developing countries, approaches for crowd mobilization are often broader and more diverse, utilizing not only the Internet but also face-to-face and mobile(More)
Object detection is a key component of many computer vision systems. This paper investigates human computation as a platform for object detection. We investigate and report on the quality of raw labels obtained from several sources of human labor. We find that the performance is not the same in all cases. We investigate and report on the quality of a simple(More)
Crowdsourcing systems leverage short bursts of focused attention from many contributors to achieve a goal. By requiring people's full attention, existing crowdsourcing systems fail to leverage people's cognitive surplus in the many settings for which they may be distracted, performing or waiting to perform another task, or barely paying attention. In this(More)