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A tale of two virtual advisors: An empirical study investigating the empowerment effect of mobile mental-health advisory systems on emergency rescuers

dc.contributor.authorLi, Manning
dc.contributor.authorHou, Jie
dc.contributor.authorZhang, Xinhua
dc.coverage.spatialTBC
dc.date.accessioned2015-12-10T23:26:48Z
dc.date.created24 June 2014 through 28 June 2014
dc.date.issued2014
dc.date.updated2015-12-10T11:02:30Z
dc.description.abstractVirtual advisory services are very important tools for the psychological self-help domain. It is particularly valuable for emergency rescuers in relieving their psychological distress given the high-stress nature of their occupation. To investigate optimal design strategies for an effective virtual advisory service to empower emergency rescuers, this article explores how virtual advisor identity influences the empowerment effect of virtual mental-health advisory systems for emergency rescuers. Guided by empowerment theory and similarity theory, we developed and empirically tested our system artefact and design theory for our virtual advisory system MHAS. The results of our experiment, involving 120 emergency rescuers who have just finished their emergency tasks in Inner Mongolia, show that virtual advisor identity significantly impacts on a user's cognitive and emotional aspects, which are significant empowering enablers leading to positive empowerment outcomes as measured by a sense of control and perceived power. Implications for research and practice are then discussed.
dc.identifier.urihttp://hdl.handle.net/1885/67933
dc.publisherConference Organising Committee
dc.relation.ispartofseries18th Pacific Asia Conference on Information Systems, PACIS 2014
dc.sourceProceedings - Pacific Asia Conference on Information Systems, PACIS 2014
dc.titleA tale of two virtual advisors: An empirical study investigating the empowerment effect of mobile mental-health advisory systems on emergency rescuers
dc.typeConference paper
local.contributor.affiliationLi, Manning, Northeastern University
local.contributor.affiliationHou, Jie, Northeastern University
local.contributor.affiliationZhang, Xinhua, College of Engineering and Computer Science, ANU
local.contributor.authoruidZhang, Xinhua, u4263758
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationa383154xPUB1567
local.identifier.scopusID2-s2.0-84928612823
local.type.statusPublished Version

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