The Dynamics of Trust in Cyberdomains

Details

• Personal Author:
  Bradshaw JM ; Hoffman RR ; Lee JD ; Miller J ; Shadbolt N ; Woods DD
• Description:
  All economic, social, and legal interactions are based on assumptions that individuals can verify identities; that they can rely on rules, institutions, and normative practice; and that they can be assured that their private space will remain protected. Monitoring, managing, verifying, auditing, and enforcing these assumptions are difficult online. How are "cydentities" (cyber-identities) affirmed when they are constantly changing and are sometimes human, sometimes machine, and sometimes virtual? How can individuals and organizations derive persistent and valuable digital identities? How does digital activity change when threats to privacy and trust assumptions arise? How can trust be repaired? Is trust actually stronger once repaired? Is it trust we actually want from our digital systems, or is it accountability and the opportunity for recourse or redress? [Description provided by NIOSH]
• Subjects:
  Computers Manufacturing And Industrial Facilities Occupational Health Safety Software
• Keywords:
  Communication Systems Computer Applications Humans Law Enforcement Legislation Machine Operation Policy Regulations Safety Practices Social Media Virtual Reality Website

  More +
• ISSN:
  1541-1672
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Florida ; Iowa ; Ohio ; OSHA Region 4 ; OSHA Region 5 ; OSHA Region 7 ; Wisconsin
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  5-11
• Volume:
  24
• Issue:
  6
• NIOSHTIC Number:
  nn:20063287
• Citation:
  IEEE Intell Syst 2009 Nov-Dec; 24(6):5-11
• Contact Point Address:
  Robert R. Hoffman, Institute for Human and Machine Cognition, Florida
• Email:
  rhoffman@ihmc.us
• Federal Fiscal Year:
  2010
• Performing Organization:
  University of Iowa
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  IEEE Intelligent Systems
• End Date:
  20290630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:9ca2618cfeb44bb376d4b0ef9e2cc90c160fa3fbda7f05ad28f99393fa318a75964086fd97650e3a9de0afa97386f3d2cd21026b4be939a2c0fd7db4187276bd
• Download URL:
  https://stacks.cdc.gov/view/cdc/226375/cdc_226375_DS1.pdf
• File Type:
  [PDF - 8.26 MB ]