Keystroke Dynamics-Based Authentication Using Unique Keypad.

Authentication methods using personal identification number (PIN) and unlock patterns are widely used in smartphone user authentication. However, these authentication methods are vulnerable to shoulder-surfing attacks, and PIN authentication, in particular, is poor in terms of security because PINs are short in length with just four to six digits. A wide range of research is currently underway to examine various biometric authentication methods, for example, using the user's face, fingerprint, or iris information. However, such authentication methods provide PIN-based authentication as a type of backup authentication to prepare for when the maximum set number of authentication failures is exceeded during the authentication process such that the security of biometric authentication equates to the security of PIN-based authentication. In order to overcome this limitation, research has been conducted on keystroke dynamics-based authentication, where users are classified by analyzing their typing patterns while they are entering their PIN. As a result, a wide range of methods for improving the ability to distinguish the normal user from abnormal ones have been proposed, using the typing patterns captured during the user's PIN input. In this paper, we propose unique keypads that are assigned to and used by only normal users of smartphones to improve the user classification performance capabilities of existing keypads. The proposed keypads are formed by randomly generated numbers based on the Mersenne Twister algorithm. In an attempt to demonstrate the superior classification performance of the proposed unique keypad compared to existing keypads, all tests except for the keypad type were conducted under the same conditions in earlier work, including collection-related features and feature selection methods. Our experimental results show that when the filtering rates are 10%, 20%, 30%, 40%, and 50%, the corresponding equal error rates (EERs) for the proposed keypads are improved by 4.15%, 3.11%, 2.77%, 3.37% and 3.53% on average compared to the classification performance outcomes in earlier work.

Development of a Chatbot Program for Follow-Up Management of Workers' General Health Examinations in Korea: A Pilot Study.

(1) Background: Follow-up management of workers' general health examination (WGHE) is important, but it is not currently well done. Chatbot, a type of digital healthcare tool, is used in various medical fields but has never been developed for follow-up management of WGHE in Korea. (2) Methods: The database containing results and explanations related to WGHE was constructed. Then, the channel, which connects users with the database was created. A user survey regarding effectiveness was administered to 23 healthcare providers. Additionally, interviews on applicability for occupational health services were conducted with six nurses in the agency of occupational health management. (3) Results: Chatbot was implemented on a small scale on the Amazon cloud service (AWS) EC2 using KaKaoTalk and Web Chat as user channels. Regarding the effectiveness, 21 (91.30%) rated the need for chatbots as very high; however, 11 (47.83%) rated the usability as not high. Of the 23 participants, 14 (60.87%) expressed overall satisfaction. Nurses appreciated the chatbot program as a method for resolving accessibility and as an aid for explaining examination results and follow-up management. (4) Conclusions: The effectiveness of WGHE and the applicability in the occupational health service of the chatbot program for follow-up management can be confirmed.

Validation of the Work Engagement Scale-3, used in the 5th Korean Working Conditions Survey.

BACKGROUND: The purpose of this study was to assess the reliability and validity of the 3-item version of the Work Engagement Scale (WES-3), which is based on the Job Demands-Resources (JD-R) model and was used in the 5th Korean Working Conditions Survey (KWCS). METHODS: This study used data from the 5th KWCS (n = 50,205), which was conducted in 2017 with a sample of the Korean working population. The survey gathered comprehensive information on working conditions to define workforce changes and the quality of work and life. The reliability and internal consistency of the WES-3 were assessed using the corrected item-total correlation and Cronbach's alpha coefficient. Confirmatory factor analysis (CFA) was used to test the construct validity of work engagement. The convergent validity was assessed using the correlation with the WHO-5 well-being index. Correlations between work engagement and JD-R factors were also calculated. RESULTS: The Cronbach's alpha for work engagement was 0.776, indicating acceptable internal consistency. The model comprising 3 work engagement and 2 burnout items showed an excellent fit (χ2: 382.05, Tucker-Lewis index: 0.984, comparative fit index: 0.994, root mean square error of approximation: 0.043). The convergent validity was significant (correlation coefficient: 0.42). Correlations with burnout and job demands were negligible, whereas correlations with job resources and job satisfaction were weakly positive. CONCLUSIONS: The results of our study confirm that the WES-3 has acceptable reliability and validity.

Korean translation and validation of the Workplace Positive emotion, Engagement, Relationships, Meaning, and Accomplishment (PERMA)-Profiler.

BACKGROUND: No tool is available for the multidimensional measurement of workplace well-being among Korean workers. In this study, the Workplace Positive emotion, Engagement, Relationships, Meaning, and Accomplishment (PERMA)-Profiler, a multidimensional workplace well-being measure, was translated into Korean, and its validity and reliability were assessed. METHODS: The Workplace PERMA-Profiler, including the positive emotion, engagement, relationships, meaning, and accomplishment domains, was translated according to international guidelines. The questionnaires included the Workplace PERMA-Profiler, Mental Health Continuum-Short Form, Utrecht Work Engagement Scale, Maslach Burnout Inventory-General Survey, Psychosocial Well-being Index-Short Form, and Korean Occupational Stress Scale-Short Form. A total of 316 Korean workers completed a web-based survey with adequate response. Cronbach's alpha values were calculated to assess scale reliability, and correlational and confirmatory factor analyses were used to assess validity. RESULTS: Cronbach's alpha values for the Korean Workplace PERMA-Profiler ranged from 0.70 to 0.95. Confirmatory factor analysis indicated that the 5-factor model had a marginally acceptable fit [χ2(80) = 383.04, comparative fit index = 0.909, Tucker-Lewis index = 0.881, root mean square error of approximation = 0.110, and standardized root mean square residual = 0.054]. The 5-factor PERMA domains were correlated positively with work engagement and mental well-being in life, and negatively with burnout, occupational stressors, and stress responses. These results showed that the Workplace PERMA-Profiler has good convergent and divergent validity. CONCLUSIONS: The Korean version of the Workplace PERMA-Profiler had good reliability and validity. It might be used as an indicator or evaluation tool for positive mental health interventions in the workplace.