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2023-02-17
Esterwood, Connor, Robert, Lionel P..  2022.  Having the Right Attitude: How Attitude Impacts Trust Repair in Human—Robot Interaction. 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). :332–341.
Robot co-workers, like human co-workers, make mistakes that undermine trust. Yet, trust is just as important in promoting human-robot collaboration as it is in promoting human-human collaboration. In addition, individuals can signif-icantly differ in their attitudes toward robots, which can also impact or hinder their trust in robots. To better understand how individual attitude can influence trust repair strategies, we propose a theoretical model that draws from the theory of cognitive dissonance. To empirically verify this model, we conducted a between-subjects experiment with 100 participants assigned to one of four repair strategies (apologies, denials, explanations, or promises) over three trust violations. Individual attitudes did moderate the efficacy of repair strategies and this effect differed over successive trust violations. Specifically, repair strategies were most effective relative to individual attitude during the second of the three trust violations, and promises were the trust repair strategy most impacted by an individual's attitude.
2022-09-29
Al-Alawi, Adel Ismail, Alsaad, Abdulla Jalal, AlAlawi, Ebtesam Ismaeel, Naser Al-Hadad, Ahmed Abdulla.  2021.  The Analysis of Human Attitude toward Cybersecurity Information Sharing. 2021 International Conference on Decision Aid Sciences and Application (DASA). :947–956.
Over the years, human errors have been identified as one of the most critical factors impacting cybersecurity in an organization that has had a substantial impact. The research uses recent articles published on human resources and information cybersecurity. This research focuses on the vulnerabilities and the best solution to mitigate these threats based on literature review methodology. The study also focuses on identifying the human attitude and behavior towards cybersecurity and how that would impact the organization's financial impact. With the help of the Two-factor Taxonomy of the security behavior model developed in past research, the research aims to identify the best practices and compare the best practices with that of the attitude-behavior found and matched to the model. Finally, the study would compare the difference between best practices and the current practices from the model. This would help provide the organization with specific recommendations that would help change their attitude and behavior towards cybersecurity and ensure the organization is not fearful of the cyber threat of human error threat.