Adolescents' perceptions of privacy violations by parents, siblings, and friends.

Adolescence is a life stage beset by a growing desire for privacy. This study evaluated adolescents' experiences across four types of potentially privacy-invasive behaviors (PPIVBs) and within four different types of relationships. 158 adolescents (Mage = 16.9 years, SD = 1.0; 53.5% female) reported on the frequency of the PPIVBs, perceived control over the behaviors, secret/private information threatened by the behaviors, and feelings of privacy invasion produced by the behaviors. Privacy experiences were more similar across relationships than across types of behavior. Stronger feelings of privacy invasion were reported for PPIVBs involving electronics and information, for behaviors by family members, when behaviors occurred infrequently, when adolescents perceived greater control over whether the behaviors occurred, and when behaviors threated secret/private information.

Emotion Dynamics among Late Adolescents and Emerging Adults: The Role of Maternal Privacy Invasion Perceptions.

Prior research suggests that youth experience immediate emotional distress following privacy invasion, but it is unclear whether and how persistent privacy invasion over longer periods destabilizes the intrapersonal emotional regulatory functions that privacy serves. This study investigated whether late adolescents and emerging adults who reported different patterns of maternal privacy invasion over a full academic year showed differences in emotion regulation, as reflected by the frequency and lability of negative and positive emotional experiences. Participants were first-year university students (n = 349; 60.2% female) in Hong Kong, aged 17 to 24 (MT1 = 18.20, SDT1 = 1.10). They self-reported maternal privacy invasion perceptions and negative and positive emotions 16 times, at bi-weekly intervals. Latent class growth analyses divided participants into a Higher Invasion Perceptions group (24.9%), a Moderate Invasion Perceptions group (46.4%), and a Lower Invasion Perceptions group (28.7%). A one-way MANCOVA examined potential differences in negative and positive emotion dynamics across groups, indexed by frequency (means) and instability (mean square of successive differences and probability of acute change). In line with predictions, both the Higher Invasion and Moderate Invasion groups reported higher negative emotion frequency and instability, compared to the Lower Invasion group. However, groups showed no significant differences regarding positive emotion frequency and instability. The findings indicate that perceptions of maternal privacy invasion predict youth's negative emotion regulation processes over their first collegiate year. Prolonged, higher levels of maternal privacy invasion may disrupt the intrapersonal regulatory functions that privacy serves over time.

Chinese adolescents' reports of covert parental monitoring: Comparisons with overt monitoring and links with information management.

This study compared Chinese adolescents' reports of covert parental monitoring with the overt strategies of solicitation and control. We investigated these behaviors in terms of unique associations with adolescents' perceived privacy invasion and the information management behaviors of disclosure and secrecy. High school students (N = 455, 61.5% female; Mage = 17.39, SD = 0.83) from a predominantly rural province of Mainland China reported a high incidence of covert monitoring (60.40%). Covert monitoring predicted privacy invasion more strongly than solicitation or control. Solicitation positively predicted disclosure, while covert monitoring negatively predicted disclosure and positively predicted secrecy. Privacy invasion fully mediated links between covert monitoring and information management. These latter effects were significantly stronger for girls than for boys. Similar to Western adolescents, Chinese youth might apply selective resistance when parents violate their personal domain. The findings suggest linkage between some parental monitoring behaviors and disruptions in Chinese family communication.

Do patients prefer a human doctor, artificial intelligence, or a blend, and is this preference dependent on medical discipline? Empirical evidence and implications for medical practice.

Today the doctor-patient relationship typically takes place in a face-to-face setting. However, with the advent of artificial intelligence (AI) systems, two further interaction scenarios are possible: an AI system supports the doctor's decision regarding diagnosis and/or treatment while interacting with the patient, or an AI system could even substitute the doctor and hence a patient interacts with a chatbot (i.e., a machine) alone. Against this background, we report on an online experiment in which we analyzed data from N = 1,183 people. The data was collected in German-speaking countries (Germany, Austria, Switzerland). The participants were asked to imagine they had been suffering from medical conditions of unknown origin for some time and that they were therefore visiting a health center to seek advice from a doctor. We developed descriptions of patient-doctor interactions (referred to as vignettes), thereby manipulating the patient's interaction partner: (i) human doctor, (ii) human doctor with an AI system, and (iii) an AI system only (i.e., chatbot). Furthermore, we manipulated medical discipline: (i) cardiology, (ii) orthopedics, (iii) dermatology, and (iv) psychiatry. Based on this 3 × 4 experimental within-subjects design, our results indicate that people prefer a human doctor, followed by a human doctor with an AI system, and an AI system alone came in last place. Specifically, based on these 12 hypothetical interaction situations, we found a significant main effect of a patient's interaction partner on trust, distrust, perceived privacy invasion, information disclosure, treatment adherence, and satisfaction. Moreover, perceptions of trust, distrust, and privacy invasion predicted information disclosure, treatment adherence, and satisfaction as a function of interaction partner and medical discipline. We found that the situation in psychiatry is different from the other three disciplines. Specifically, the six outcome variables differed strongly between psychiatry and the three other disciplines in the "human doctor with an AI system" condition, while this effect was not that strong in the other conditions (human doctor, chatbot). These findings have important implications for the use of AI in medical care and in the interaction between patients and their doctors.

Unpacking Detrimental Effects of Network Externalities on Privacy Invasion, Communication Overload and Mobile App Discontinued Intentions: A Cognition-Affect-Conation Perspective.

Recently, mobile apps are rapidly emerging as an important information instrument, with the potential to boost convenience and efficiency in everyday life. The adoption of mobile apps can exert a positive influence on individuals, but also lead to adverse perceptions in different ways. The crucial issue arising is what motivates people's discontinued use of such services. Furthermore, the roles of communication overload and privacy invasion between network externalities and discontinued use intentions have not been thoroughly examined. The primary objective of this article is to investigate if negative network externalities may result in privacy invasion, communication overload and discontinued intentions, and how the underlying mechanism operates. This current research collected and evaluated data from 696 mobile app users utilizing the structural equation model (SEM) technique. The findings demonstrate that perceived critical mass and perceived complementarity positively affect the privacy invasion of mobile app users. Particularly, it was discovered that privacy invasion and communication overload mediate the association between network externalities and mobile app discontinued use intentions. This article may not only enrich the ongoing contemporary critical discussion on new information technology usage, but also offer significant theoretical and practical implications for mobile app researchers and practitioners.

Research on the influence mechanism of privacy invasion experiences with privacy protection intentions in social media contexts: Regulatory focus as the moderator.

Introduction: In recent years, there have been numerous online privacy violation incidents caused by the leakage of personal information of social media users, yet there seems to be a tendency for users to burn out when it comes to privacy protection, which leads to more privacy invasions and forms a vicious circle. Few studies have examined the impact of social media users' privacy invasion experiences on their privacy protection intention. Protection motivation theory has often been applied to privacy protection research. However, it has been suggested that the theory could be improved by introducing individual emotional factors, and empirical research in this area is lacking. Methods: To fill these gaps, the current study constructs a moderated chain mediation model based on protection motivation theory and regulatory focus theory, and introduces privacy fatigue as an emotional variable. Results and discussion: An analysis of a sample of 4800 from China finds that: (1) Social media users' previous privacy invasion experiences can increase their privacy protection intention. This process is mediated by response costs and privacy fatigue. (2) Privacy fatigue plays a masking effect, i.e., increased privacy invasion experiences and response costs will raise individuals' privacy fatigue, and the feeling of privacy fatigue significantly reduces individuals' willingness to protect their privacy. (3) Promotion-focus individuals are less likely to experience privacy fatigue than those with prevention-focus. In summary, this trend of "lie flat" on social media users' privacy protection is caused by the key factor of "privacy fatigue", and the psychological trait of regulatory focus can be used to interfere with the development of privacy fatigue. This study extends the scope of research on privacy protection and regulatory focus theory, refines the theory of protection motivation, and expands the empirical study of privacy fatigue; the findings also inform the practical governance of social network privacy.

A meta-analytic review of the relationship between cyber aggression and substance use.

BACKGROUND: Prior research has demonstrated that various substances of abuse play a contributing role to acts of physical and verbal aggression. It is less clear if and to what extent substance use is associated with an increased risk in perpetrating cyber aggression, an emerging form of aggressive behavior that occurs through digital communication. METHODS: A comprehensive review of the literature resulted in 15 studies and 18 unique samples from which effect size estimates were calculated. RESULTS: Analyses resulted in a moderate, significant mean observed correlation indicating that individuals who engaged in substance use were more likely than those who did not to perpetrate cyber aggression (r = 0.24, k = 18, 95% CI = 0.20, 0.28). Comparing data across types of substances revealed that alcohol use represents a stronger risk factor for cyber aggression than nicotine, cannabis, or other illicit drugs. Results also suggest a stronger relationship between substance use and cyber aggression among older than younger samples and in the context of intimate partner rather than peer aggression. Comparable estimates of substance-related cyber aggression emerged across types of cyber aggression and perpetrator gender. CONCLUSIONS: Further research is required to increase confidence in estimates used in moderation analyses. As with traditional aggression, alcohol use appears to represent a risk factor for cyber aggression, though it is unclear if the disinhibitory properties of alcohol are the mechanism of action for substance-related cyber aggression.