Controversies in the design of computer-mediated communication systems

Turoff, Murray; Hiltz, Starr Roxanne; Kerr, Elaine B.

doi:10.1145/800049.801762

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…The attributes we use in our model were derived from a meta-analysis of research on antecedents of trust in management situations (Mezgar & Kinsces, 2003;Rousseau et al, 1998;Mayer, Davis, & Schoorman, 1995;Jarvenpaa & Leidner, 1999) including those involving computer information-sharing applications (Kerr & Hiltz, 1982;Hart & Saunders, 1997). We have intentionally limited the attributes to represent the core aspects of our model for clarity of representation.…”

Section: Attributes and Fuzzy Variablesmentioning

confidence: 99%

Using a Trust Inference Model for Flexible and Controlled Information Sharing During Crises

Yang¹,

Yao²,

Garnett³

et al. 2010

Contingencies & Crisis Mgmt

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The fluid, urgent nature of crises requires flexible, responsive information sharing. Recent studies show, however, that in business catastrophes and other kinds of crises conventional access control mechanisms favor security over flexibility. Our work addresses these seemingly contradictory needs for security and flexibility and designs a trust inference model based on fuzzy logic, a model that can be used with pervasive computing technologies using sensors and mobile devices. Drawing upon research on trust, we design a trust inference model using attributes of affiliation, task performance, and urgency; apply the model to a known crisis; discuss implementation issues; and explore issues for further research.This article is dedicated to Alan Jarman, a founding influence in the Journal of Contingencies and Crisis Management who died in Canberra 15 July 2010. Alan's quantitative, engineering background and his long standing commitment to improving crisis decision making prompted him to encourage our applying fuzzy logic to crisis information sharing. We are grateful for Alan's encouragement and advice.

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Section: Attributes and Fuzzy Variablesmentioning

confidence: 99%

Using a Trust Inference Model for Flexible and Controlled Information Sharing During Crises

Yang¹,

Yao²,

Garnett³

et al. 2010

Contingencies & Crisis Mgmt

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“…This body of research has built upon wide-ranging studies of talk, discourse and language use to address the ways in which objects and artefacts, tools and technologies feature in human conduct and social interaction. We have witnessed the emergence of 'workplace studies', naturalistic studies of complex organisational environments , of HCI and CSCW (Bannon, 1992), of research on computer-mediated communication (Turoff et al, 1982), and research on the ways in which talk and gesture is embodied within material resources . These developments reflect a broad range of methodological commitments and yet, in various ways are concerned with the fine details of conduct, communication and interaction.…”

Section: Introductionmentioning

confidence: 99%

Remote Collaboration Over Video Data: Towards Real-Time e-Social Science

Fraser

Hindmarsh

Best

et al. 2006

Comput Supported Coop Work

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The design of distributed systems to support collaboration among groups of scientists raises new networking challenges that grid middleware developers are addressing. This field of development work, 'e-Science', is increasingly recognising the critical need of understanding the ordinary day-to-day work of doing research to inform design. We have investigated one particular area of collaborative social scientific work -the analysis of video data. Based on interviews and observational studies, we discuss current practices of social scientific work with digital video in three areas: Preparation for collaboration; Control of data and application; and Annotation configurations and techniques. For each, we describe how these requirements feature in our design of a distributed video analysis system as part of the MiMeG project: our security policy and distribution; the design of the control system; and providing freeform annotation over data. Finally, we review our design in light of initial use of the software between project partners; and discuss how we might transform the spatial configuration of the system to support annotation behaviour.

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