Search results for "Crowds"
showing 10 items of 107 documents
SMART SfM: SALINAS ARCHAEOLOGICAL MUSEUM
2017
Abstract. In these last years, there has been an increasing use of the Structure from Motion (SfM) techniques applied to Cultural Heritage. The accessibility of SfM software can be especially advantageous to users in non-technical fields or to those with limited resources. Thanks to SfM using, everyone can make with a digital camera a 3D model applied to an object of both Cultural Heritage, and physically Environment, and work arts, etc. One very interesting and useful application can be envisioned into museum collection digitalization. In the last years, a social experiment has been conducted involving young generation to live a social museum using their own camera to take pictures and vid…
3D #DigitalInvasions: a crowdsourcing project for mobile user generated content
2015
This paper introduces the #InvasioniDigitali project which is an online crowdsourcing initiative started in Italy in 2013 with the aim to promote the value of and engagement with local heritage. The paper focuses on two case studies of pilot ‘invasions’ using 3D data capture by students at museums and heritage sites in Sicily.
Crowdboard: Augmenting in-person idea generation with real-time crowds
2017
Online crowds can help infuse creativity into the design process, but traditional strategies for leveraging them, such as large-scale ideation platforms, require time and organizational effort in order to obtain results. We propose a new method for crowd-based ideation that simplifies the process by having smaller crowds join in-person ideators during synchronous creative sessions. Our system Crowdboard allows online crowds to provide real-time creative input during early-stage design activities, such as brainstorming or concept mapping. The system enables in-person ideators to develop ideas on a physical or digital whiteboard which is augmented with real-time creative input from online par…
Factors influencing tourists’ intention to use COVID-19 contact tracing app
2020
AbstractThe purpose of this study was to develop and test a model that explores the antecedents of tourists’ acceptance of COVID-19 contact tracing app (CTA). Data was obtained from a crowdsourcing platform (Pollfish), in which 400 respondents answered the questionnaire. We used SmartPLS to analyse the data. Results reveal that trust and structural assurance have the strongest relationship. Furthermore, the relationship between trust and destination safety was positive. Finally, self-efficacy moderated the relationship between trust and intention, implying that trust was stronger for tourists who have higher levels of self-efficacy. Recommendations are offered.
The role of sense of community in harnessing the wisdom of crowds and creating collaborative knowledge during the COVID-19 pandemic
2021
Abstract This study investigates the role of sense of community in harnessing the wisdom of the crowd and creating collaborative knowledge during the COVID-19 pandemic. It also explores the impact of collaborative knowledge creation on the perceived value of social media crowdsourcing in such crises. PLS-SEM was used to analyze the data and test the research model. The results show that sense of community has a significant role in harnessing the wisdom of the crowd and creating collaborative knowledge. The results confirm a significant impact of sense of community, the wisdom of the crowd, and collaborative knowledge creation on the perceived value of social media crowdsourcing in respondin…
The role of Intellectual Property Rights in the value capturing of crowdsourcing for innovation contests
2017
In this study, we investigate the role of IPR arrangements in crowdsourcing for innovation challenges. Integrating Property Rights Theory and the open innovation literature, we propose that specific challenge attributes affect the seekers organizations’ choice between alternative IPR arrangements and how this choice, in turn, affects the self-selection of external solvers into solving the challenge. We collected multi-source, interview data with open innovation directors and we built a unique data set of 729 awarded challenges broadcasted on InnoCentive platform from 2010 to 2016. Our findings contribute to the emerging literature on open innovation and crowdsourcing literature by bringing …
Using crowdsourcing for a safer society: When the crowd rules
2020
Neighbours sharing information about robberies in their district through social networking platforms, citizens and volunteers posting about the irregularities of political elections on the Internet, and internauts trying to identify a suspect of a crime: in all these situations, people who share different degrees of relationship collaborate through the Internet and other technologies to try to help with or solve an offence. The crowd, which is sometimes seen as a threat, in these cases becomes an invaluable resource that can complement law enforcement through collective intelligence. Owing to the increasing growth of such initiatives, this article conducts a systematic review of the litera…
The role of IPR arrangements in the crowdsourcing for innovation contest: an empirical investigation of the Innocentive challenges
2017
In this study, we identify three different Intellectual Property Right arrangements- strong IPR (acquiring an IP), weak IPR (licensing agreement) and flexible IPR. Integrating Property Rights Theory and the open innovation literature, we propose that specific challenge attributes affect the seekers organizations’ choice between alternative IPR arrangements and how this choice, in turn, affects the self-selection of external solvers into solving the problem. We collected multi-source, interview data with open innovation directors and a unique data set of 819 closed and awarded challenges broadcasted on InnoCentive platform from 2010 to 2016. Our findings contribute to the emerging literature…
FIRST
2018
Thanks to the collective action of participating smartphone users, mobile crowdsensing allows data collection at a scale and pace that was once impossible. The biggest challenge to overcome in mobile crowdsensing is that participants may exhibit malicious or unreliable behavior, thus compromising the accuracy of the data collection process. Therefore, it becomes imperative to design algorithms to accurately classify between reliable and unreliable sensing reports. To address this crucial issue, we propose a novel Framework for optimizing Information Reliability in Smartphone-based participaTory sensing (FIRST) that leverages mobile trusted participants (MTPs) to securely assess the reliabil…
A fog-assisted system to defend against Sybils in vehicular crowdsourcing
2022
Technological advancements in vehicular transportation systems have led to the growth of novel paradigms, in which vehicles and infrastructures collaborate to infer high-level knowledge about phenomena of interest. Vehicular Social Network (VSN) is one such paradigm in which vehicular network entities are considered as part of an Online Social Network (OSN), paving the way for new services derived from social context. Although vehicular crowdsourcing has tremendous benefits, its deployment in real systems requires to solve important challenges including defense against Sybil attacks. This paper proposes a novel fog-assisted system that uses SybilDriver to minimize the presence of Sybil enti…