TY - JOUR
T1 - Online safety begins with you and me
T2 - Convincing Internet users to protect themselves
AU - Shillair, Ruth
AU - Cotten, Shelia R.
AU - Tsai, Hsin-Yi
AU - Alhabash, Saleem
AU - Larose, Robert
AU - Rifon, Nora J.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Serious and pervasive threats confront all Internet users. Despite frequent reports of losses due to computer security breaches, many individuals still do not follow basic safety precautions. Understanding the mental processes that motivate users to follow safe practices is key to strengthening this weak link in the security chain. Using protection motivation theory (PMT), a model within the class of social cognitive theories (SCT), we develop and assess the value of interventions strategies to enhance safe online behaviors. Furthermore, we integrate the concept of personal responsibility within the PMT approach to better understand what motivates safe, online behaviors. The online safety interventions were tested using a 2 (intervention strategy: manipulated) × 2 (personal responsibility: manipulated) × 2 (knowledge: measured and blocked), between subjects with random assignment to experimental conditions and online safety behavior intentions as the targeted outcome. Based on SCT principles of behavior change, two intervention strategies were developed, one that semantically explained behaviors, and one that offered the user an enactive mastery exercise. The sample was cross-sectional and representative of Internet users. Results showed a significant three-way interaction effect among personal responsibility, the intervention strategy and prior knowledge. Enhancing a user's sense of personal responsibility appears to be a necessary precursor to effective online safety interventions, but not necessarily sufficient; the intervention strategy should match the knowledge level of the user to enhance online safety behaviors. Potential strategies for designing effective online safety messages are discussed.
AB - Serious and pervasive threats confront all Internet users. Despite frequent reports of losses due to computer security breaches, many individuals still do not follow basic safety precautions. Understanding the mental processes that motivate users to follow safe practices is key to strengthening this weak link in the security chain. Using protection motivation theory (PMT), a model within the class of social cognitive theories (SCT), we develop and assess the value of interventions strategies to enhance safe online behaviors. Furthermore, we integrate the concept of personal responsibility within the PMT approach to better understand what motivates safe, online behaviors. The online safety interventions were tested using a 2 (intervention strategy: manipulated) × 2 (personal responsibility: manipulated) × 2 (knowledge: measured and blocked), between subjects with random assignment to experimental conditions and online safety behavior intentions as the targeted outcome. Based on SCT principles of behavior change, two intervention strategies were developed, one that semantically explained behaviors, and one that offered the user an enactive mastery exercise. The sample was cross-sectional and representative of Internet users. Results showed a significant three-way interaction effect among personal responsibility, the intervention strategy and prior knowledge. Enhancing a user's sense of personal responsibility appears to be a necessary precursor to effective online safety interventions, but not necessarily sufficient; the intervention strategy should match the knowledge level of the user to enhance online safety behaviors. Potential strategies for designing effective online safety messages are discussed.
KW - Online safety
KW - Personal responsibility
KW - Protection motivation theory
KW - Self-efficacy
KW - Social cognitive theory
UR - http://www.scopus.com/inward/record.url?scp=84923093211&partnerID=8YFLogxK
U2 - 10.1016/j.chb.2015.01.046
DO - 10.1016/j.chb.2015.01.046
M3 - Article
AN - SCOPUS:84923093211
SN - 0747-5632
VL - 48
SP - 199
EP - 207
JO - Computers in Human Behavior
JF - Computers in Human Behavior
ER -