Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/103134
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCurmi, Franco-
dc.contributor.authorFerrario, Maria Angela-
dc.contributor.authorWhittle, Jon-
dc.date.accessioned2022-10-28T05:10:58Z-
dc.date.available2022-10-28T05:10:58Z-
dc.date.issued2015-
dc.identifier.citationCurmi, F., Ferrario, M. A., & Whittle, J. (2015). Sharing the quantified self as an economic transaction: Social capital pro spectator support. 33rd Annual ACM Conference on Human Factors in Computing Systems SIGCHI, Seoul.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/103134-
dc.description.abstractMany quantified-self applications that encourage the use of data ‘beyond the self’ are emerging. Increasingly, quantified-self users are sharing logged data with relatives, friends and sometimes even publicly. Reasons for sharing vary – from an intrinsic need of showing off accomplishments in home energy efficiency, to sharing daily steps in exchange of health insurance discounts. These scenarios are bringing new opportunities and ethical concerns that are still underexplored. Over the last three years, we developed and tested HeartLink, a system that allows athletes to log and broadcast personal data, including locative and biometric data, in exchange of real-time social support from distributed online crowds. Through an ad-hoc 5k race with 5 athletes and 140 online controlled spectators, we studied the effects on the data-sharing athlete and the online spectators. At the workshop we are keen to present emerging insights and discuss future scenarios where quantified-self data could be used in exchange of valued goods, services or social dynamics.en_GB
dc.language.isoenen_GB
dc.publisherAssociation for Computing Machinery (ACM)en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectBiometric identificationen_GB
dc.subjectHeart beaten_GB
dc.subjectSocial networks -- Case studiesen_GB
dc.subjectSportsen_GB
dc.subjectSports spectatorsen_GB
dc.subjectBroadcast journalismen_GB
dc.subjectData structures (Computer science)en_GB
dc.subjectDatabase managementen_GB
dc.titleSharing the quantified self as an economic transaction : social capital pro spectator supporten_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencename33rd Annual ACM Conference on Human Factors in Computing Systems SIGCHIen_GB
dc.bibliographicCitation.conferenceplaceSeoul, Republic of Korea. 18-23/04/2015.en_GB
dc.description.reviewedpeer-revieweden_GB
Appears in Collections:Scholarly Works - FacEMAMar

Files in This Item:
File Description SizeFormat 
Sharing_the_quantified_self_as_an_economic_transaction.pdf
  Restricted Access
886.17 kBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.