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Pervasive Computing Support for Market Trading

Pervasive Computing Support for Market Trading
为市场交易提供普适计算支持
批准号:
EP/D07696X/1
负责人:
Stephen Hailes
金额:
$44.58万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2006
资助国家:
英国
项目状态:
已结题
起止时间:
2006 至 --

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中文摘要
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英文摘要
Outside the high-street shopping experience many goods are traded in market places where the arrangement andpricing of goods is rather more flexible, such as street markets, farmers' markets, car boot sales, collectors' fairs, andauctions / both physical, ranging from organised events for fine art, livestock etc. to occasional events and marketstalls operating as auctions; and virtual, such as eBay. It is obvious that pervasive computing technology has much tooffer the organisation and running of such markets: using RFIDs to track inventory, and offer electronic catalogues;the use of wireless handhelds to browse and discover desired objects; providing electronic identities, so that evidencecan be collected to build reputations and so on. It is less clear how such technology should be designed so as to beaccepted and enhance the market.Our approach is to undertake a detailed ethnographic study of the functioning of exemplar markets, and to createappropriate theories and technologies based on this understanding. A key factor in any market transaction is thefunctioning of trust, and we believe that ensuring that we build technology embodying trust is the most likely route tosuccess. This embodiment of trust will be based on a well-defined theoretical model, which submits to analysis, anditself supports trust and confidence in the system, over ad-hoc engineering. The pervasive computing environmentmust both be and show itself to be worthy of trust as it carries out tasks on our behalf. To be trustworthy, theunderlying software must have a valid model of human trust, based on the multiplicity of elements that go to constructtrust. To show itself worthy of trust, the systems must work within the current processes by which people constructtrust, providing transparency and appropriate feedback to the various users based on their level of engagement.
期刊论文(10)
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科研奖励(0)
会议论文
DOI: 10.1145/1374718.1374735
发表时间: 2008-05
期刊:
影响因子: --
作者: [Lu Yan;S. Hailes]
通讯作者: Lu Yan;S. Hailes
Private distributed collaborative filtering using estimated concordance measures
使用估计一致性度量的私有分布式协同过滤
DOI: 10.1145/1297231.1297233
发表时间: 2007
期刊:
影响因子: --
作者: [Lathia N]
通讯作者: Lathia N
Temporal diversity in recommender systems
推荐系统中的时间多样性
DOI: 10.1145/1835449.1835486
发表时间: 2010
期刊:
影响因子: --
作者: [Lathia N]
通讯作者: Lathia N
The wisdom of the few
少数人的智慧
DOI: 10.1145/1571941.1572033
发表时间: 2009
期刊:
影响因子: --
作者: [Amatriain X]
通讯作者: Amatriain X
UKRI-India Future Networks Initiative
  • 批准号:
    EP/W016699/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $4.83万
  • 财政年份:
    2021
  • 负责人:
    Stephen Hailes
  • 依托单位:
The UKRI ExCALIBUR Hardware And Enabling Software Programme: The UCL Adaptable Cluster Project (PERIOD ONE)
  • 批准号:
    ST/V001248/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $47.12万
  • 财政年份:
    2020
  • 负责人:
    Stephen Hailes
  • 依托单位:
Accessible Routes from Crowdsourced Cloud Services (ARCCS)
  • 批准号:
    EP/L023849/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $43.94万
  • 财政年份:
    2014
  • 负责人:
    Stephen Hailes
  • 依托单位:
IU-ATC Phase 2
  • 批准号:
    EP/J016721/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $33.96万
  • 财政年份:
    2012
  • 负责人:
    Stephen Hailes
  • 依托单位:
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