Building Trust in Mobile Medical Consultations: The Roles of Privacy Concerns, Personality Traits, and Social Cues

2021 ◽  
pp. 293-304
Author(s):  
Jiaxin Zhang ◽  
Qingchuan Li ◽  
Yan Luximon
Keyword(s):  
Personality Traits ◽  
Social Cues ◽  
Privacy Concerns ◽  
Building Trust ◽  
Medical Consultations

Influential Factors of Wearable Activity Trackers Among Patients With Type 2 Diabetes Mellitus Based On The Big Five Personality Traits (Preprint)

2021 ◽  
Author(s):  
Zeming Li ◽  
Xinying Sun ◽  
Darui Gao ◽  
Lishi Fan ◽  
Ping Chen
Keyword(s):  
Type 2 Diabetes ◽  
Personality Traits ◽  
Positive Impact ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Social Image ◽  
Privacy Concerns ◽  
Activity Trackers ◽  
Wearable Activity Trackers

BACKGROUND In China, for most diabetic patients, wearable activity trackers are an innovative product that has not yet been generally accepted and used. Many studies have proved personality traits to affect patients' self-management behavior with chronic diseases, the willingness to adopt medical services, and willingness to use mobile healthcare equipment. OBJECTIVE This study aimed to investigate the influence of personality traits of type 2 diabetes patients on the use intention of the intelligent wearable device -- wearable activity trackers METHODS A self-designed questionnaire and Chinese Big Five Personality Inventory brief version (CBF-PI-B) were used to investigate type 2 diabetes mellitus (T2DM) patients from 22 community health service stations affiliated to 4 community health service centers in Tongzhou District and Shunyi District of Beijing. RESULTS A total of 728 cases were included in this study. Monofactor analysis indicated differences between patients with different genders in neuroticism, individual innovation, and behavioral intention, differences between patients with different ages in neuroticism, openness, individual innovation, and privacy concerns, differences between patients with different degree of education in openness, extraversion, perceived ease of use, the individual innovation and social image, and differences between patients with different income levels in openness, extraversion, perceived ease of use and individual innovation. The structural equation showed that perceived ease of use, perceived usefulness, social image, and privacy concern had direct effects on behavioral intention (β=0.158, 0.223, 0.151, -0.657). Neuroticism had a positive impact on social image and privacy concerns (β=0.144, 0.154). Conscientiousness and openness had a positive influence on perceived ease of use (β=0.147, 0.142). Agreeableness showed negative impacts on both perceived ease of use and privacy concerns (β=-0.108, -0.251). Openness and extroversion both had a positive impact on individual innovation (β=0.149, 0.180) while openness generated a positive influence on social image (β=0.189). CONCLUSIONS Different personality traits had influences on individual innovation, privacy concerns and social image, and indirectly affect patients’ intention to use wearable activity trackers. Therefore, personalized guidance and health education could be carried out according to different personality traits when using intelligent wearable devices in the intervention of patients with type 2 diabetes.

Why people need privacy? The role of privacy fatigue in app users' intention to disclose privacy: based on personality traits

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jie Tang ◽  
Umair Akram ◽  
Wenjing Shi
Keyword(s):  
Personality Traits ◽  
Information Disclosure ◽  
Personal Information ◽  
Mobile Apps ◽  
Equation Modeling ◽  
Content Type ◽  
Privacy Concerns ◽  
Positive Effects ◽  
Novel Concept ◽  
The Impact

PurposeMobile Applications (App) privacy has become a prominent social problem. Compared with privacy concerns, this study examines a relatively novel concept of privacy fatigue and explores its effect on the users’ intention to disclose their personal information via mobile Apps. In addition, the personality traits are proposed as antecedents that will induce the personal perception of privacy fatigue and privacy concerns differently.Design/methodology/approachData were collected from 426 respondents. Structure equation modeling was used to test the hypotheses.FindingsThe findings describe that App users’ intention toward personal information disclosure is determined by privacy fatigue and privacy concerns, but the former has a greater impact. With minor exceptions, the two factors are also influenced by different personality traits. Specifically, neuroticism has positive effects on privacy fatigue, but agreeableness and extraversion have presented the opposite results on the two variables.Practical implicationsThis research is very scarce to examine the joint effects of privacy fatigue, privacy concerns and personality traits on App users’ disclosing intention. In doing so, these results will be of benefit to App providers and platform managers and can be the basis for a variety of follow-up studies.Originality/valueWhile previous research just focuses on privacy concerns, this study explores the critical roles of privacy fatigue and opens up a new avenue of emotion-attitude analysis that can further increase the specificity and richness of users’ privacy research. Additionally, implications for personality traits as antecedents in the impact of App users’ privacy emotions and attitudes are discussed.

Beliefs and Attributions toward Computing Technology

2015 ◽  
Vol 27 (3) ◽  
pp. 27-54 ◽  
Author(s):  
Richard D. Johnson ◽  
Natasha Veltri ◽  
Jason B. Thatcher
Keyword(s):  
Personality Traits ◽  
Social Role ◽  
Social Cues ◽  
Attributions Of Responsibility ◽  
Computer Interfaces ◽  
The Social ◽  
User Personality ◽  
Moderating Role ◽  
Made In

This study critiques and extends the work of , who investigated the relations between social cues in an interface, user personality, user beliefs about the social role and capabilities of computers, and the attributions of responsibility users made for their interactions and outcomes with a computer. In this study, rather than examining the simple, direct effects investigated previously, we examine the moderating role of social cues in the interface. In addition, building upon recent findings from psychology, the authors assess personality traits individually, rather than aggregating them. To evaluate the theorized relations, 152 individuals participated in a controlled laboratory experiment, where social cues in two computer interfaces were manipulated. Results indicate that social cues moderate the relations between personality, beliefs about the social role of computing, and the attributions made. In addition, the results suggest that disaggregating personality traits is theoretically and practically richer than aggregating them.

scholarly journals Social cues affect quantitative genetic variation and covariation in animal personality traits

Evolution ◽  
2019 ◽  
Vol 73 (3) ◽  
pp. 540-553 ◽  
Author(s):  
Fabian S. Rudin ◽  
Leigh W. Simmons ◽  
Joseph L. Tomkins
Keyword(s):  
Genetic Variation ◽  
Personality Traits ◽  
Animal Personality ◽  
Social Cues ◽  
Quantitative Genetic

scholarly journals Mobile Personalized Service Recommender Model Based on Sentiment Analysis and Privacy Concern

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Liang Xiao ◽  
Fei-Peng Guo ◽  
Qi-Bei Lu
Keyword(s):  
Personality Traits ◽  
Sentiment Analysis ◽  
Privacy Concern ◽  
Personalized Service ◽  
Privacy Concerns ◽  
Data Sparseness ◽  
Privacy Preference ◽  
Measurement Algorithm ◽  
Preference Intensity ◽  
Hybrid Collaborative Filtering

The existing mobile personalized service (MPS) gives little consideration to users’ privacy. In order to address this issue and some other shortcomings, the paper proposes a MPS recommender model for item recommendation based on sentiment analysis and privacy concern. First, the paper puts forward sentiment analysis algorithm based on sentiment vocabulary ontology and then clusters the users based on sentiment tendency. Second, the paper proposes a measurement algorithm, which integrates personality traits with privacy preference intensity, and then clusters the users based on personality traits. Third, this paper achieves a hybrid collaborative filtering recommendation by combining sentiment analysis with privacy concern. Experiments show that this model can effectively solve the problem of MPS data sparseness and cold start. More importantly, a combination of subjective privacy concern and objective recommendation technology can reduce the influence of users’ privacy concerns on their acceptance of MPS.

scholarly journals Do I Have a Personality? Endowing Care Robots with Context-Dependent Personality Traits

2020 ◽  
Author(s):  
Antonio Andriella ◽  
Henrique Siqueira ◽  
Di Fu ◽  
Sven Magg ◽  
Pablo Barros ◽  
...  
Keyword(s):  
Personality Traits ◽  
Social Intelligence ◽  
Human Study ◽  
Social Cues ◽  
Statistical Decision ◽  
Wizard Of Oz ◽  
Dependent Personality ◽  
Statistical Decision Making ◽  
Similarity Attraction ◽  
Context Dependent

Abstract Recent studies have revealed the key importance of modelling personality in robots to improve interaction quality by empowering them with social-intelligence capabilities. Most research relies on verbal and non-verbal features related to personality traits that are highly context-dependent. Hence, analysing how humans behave in a given context is crucial to evaluate which of those social cues are effective. For this purpose, we designed an assistive memory game, in which participants were asked to play the game obtaining support from an introvert or extroverted helper, whether from a human or robot. In this context, we aim to (i) explore whether selective verbal and non-verbal social cues related to personality can be modelled in a robot, (ii) evaluate the efficiency of a statistical decision-making algorithm employed by the robot to provide adaptive assistance, and (iii) assess the validity of the similarity attraction principle. Specifically, we conducted two user studies. In the human–human study (N=31), we explored the effects of helper’s personality on participants’ performance and extracted distinctive verbal and non-verbal social cues from the human helper. In the human–robot study (N=24), we modelled the extracted social cues in the robot and evaluated its effectiveness on participants’ performance. Our findings showed that participants were able to distinguish between robots’ personalities, and not between the level of autonomy of the robot (Wizard-of-Oz vs fully autonomous). Finally, we found that participants achieved better performance with a robot helper that had a similar personality to them, or a human helper that had a different personality.

scholarly journals Antecedents of Trust in Organic Foods: The Mediating Role of Food Related Personality Traits

2018 ◽  
Vol 10 (10) ◽  
pp. 3597 ◽  
Author(s):  
Samia Ayyub ◽  
Xuhui Wang ◽  
Muhammad Asif ◽  
Rana Ayyub
Keyword(s):  
Personality Traits ◽  
Food Consumption ◽  
Organic Food ◽  
Consumer Trust ◽  
Organic Foods ◽  
Mediating Role ◽  
Building Trust ◽  
Organic Food Consumption ◽  
Related Personality

The current study focuses on identifying the factors responsible for building trust in organic foods. This study also attempted to establish the mediating role of food-related personality traits in building such trust. The quantitative data was collected from the Liaoning province of China through a structured questionnaire (n = 420). Established scales were adopted for measuring constructs. The Structural Equation Modeling (SEM) was used to test the hypotheses. The results indicated that consumer trust towards retailers was found to be highly significant in creating trust of customers regarding organic food products, followed by information on the label. The trust of consumers towards food manufacturer was also found to be a significant predictor, while the perceived knowledge of customers about organic food products was found to be a weak contributor towards building trust. Furthermore, food-related personality traits were found to mediate the hypothesized model. This study extends the literature on trust in organic food consumption by intending to provide a detailed analysis of the factors that build trust in organic food consumption in China. The findings of this study will help producers, retailers, and marketers to identify the appropriate strategies to establish and improve the consumer trust in organic food.

Privacy Concerns Persist, Could Be EHR Hurdle

2006 ◽  
Vol 39 (4) ◽  
pp. 68-69
Author(s):  
NELLIE BRISTOL
Keyword(s):  
Privacy Concerns

The Relationship Between Narcissism and Personality Traits of the Five-Factor-Model in Adolescents and Young Adults

2018 ◽  
Vol 46 (6) ◽  
pp. 516-522 ◽  
Author(s):  
Marc Allroggen ◽  
Peter Rehmann ◽  
Eva Schürch ◽  
Carolyn C. Morf ◽  
Michael Kölch
Keyword(s):  
Young Adults ◽  
Personality Traits ◽  
Five Factor Model ◽  
Self Report ◽  
Adolescents And Young Adults ◽  
Personality Factors ◽  
Big Five Personality ◽  
Grandiose Narcissism ◽  
Vulnerable Narcissism ◽  
The Relationship

Abstract.Narcissism is seen as a multidimensional construct that consists of two manifestations: grandiose and vulnerable narcissism. In order to define these two manifestations, their relationship to personality factors has increasingly become of interest. However, so far no studies have considered the relationship between different phenotypes of narcissism and personality factors in adolescents. Method: In a cross-sectional study, we examine a group of adolescents (n = 98; average age 16.77 years; 23.5 % female) with regard to the relationship between Big Five personality factors and pathological narcissism using self-report instruments. This group is compared to a group of young adults (n = 38; average age 19.69 years; 25.6 % female). Results: Grandiose narcissism is primarily related to low Agreeableness and Extraversion, vulnerable narcissism to Neuroticism. We do not find differences between adolescents and young adults concerning the relationship between grandiose and vulnerable narcissism and personality traits. Discussion: Vulnerable and grandiose narcissism can be well differentiated in adolescents, and the pattern does not show substantial differences compared to young adults.

Handwriting Analysis and Personality Assessment

2000 ◽  
Vol 5 (1) ◽  
pp. 44-51 ◽  
Author(s):  
Peter Greasley
Keyword(s):  
Personality Traits ◽  
Personality Assessment ◽  
Personnel Selection ◽  
Empirical Studies ◽  
Handwriting Analysis ◽  
Recruitment Process ◽  
Academic Literature ◽  
Personnel Recruitment ◽  
The Subject ◽  
Better Than

It has been estimated that graphology is used by over 80% of European companies as part of their personnel recruitment process. And yet, after over three decades of research into the validity of graphology as a means of assessing personality, we are left with a legacy of equivocal results. For every experiment that has provided evidence to show that graphologists are able to identify personality traits from features of handwriting, there are just as many to show that, under rigorously controlled conditions, graphologists perform no better than chance expectations. In light of this confusion, this paper takes a different approach to the subject by focusing on the rationale and modus operandi of graphology. When we take a closer look at the academic literature, we note that there is no discussion of the actual rules by which graphologists make their assessments of personality from handwriting samples. Examination of these rules reveals a practice founded upon analogy, symbolism, and metaphor in the absence of empirical studies that have established the associations between particular features of handwriting and personality traits proposed by graphologists. These rules guide both popular graphology and that practiced by professional graphologists in personnel selection.

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