“…Our results are consistent with the notion that people who score high in Neuroticism may use the Internet to allay loneliness (Amiel & Sargent, 2004;Correa et al, 2010;Orchard & Fullwood, 2010). Others found this relation to hold with specific groups: females (Guadagno et al, 2008, andBen-Artzi, 2000) and applications such as Facebook (Hughes et al, 2012;Ryan & Xenos, 2011). Openness showed a positive relation with online communication.…”
Section: Communicationsupporting
confidence: 81%
“…Anxiety (related to Neuroticism) and shyness bore no relationship with Internet communication behaviors (Scealy et al, 2002). Openness was found to be negatively related to information exchange (Swickert et al, 2002) and positively related to blog-writing (Guadagno, Okdie, & Eno, 2008).…”
a b s t r a c tStudies that have examined the relationship between personality and Internet use so far were largely conducted on the basis of small, non-representative samples, and have yielded conflicting results. In the current study we estimate the relationship of the Big 5 personality traits and Internet use in a large nationally representative U.S. sample of over 6900 young adults with average age of 26. Our results suggest that global Internet use is positively related to Extraversion, Neuroticism, and Conscientiousness. We also examine the relationship of the Big 5 with online communication, leisure, academic, and economic activities. Extraversion is correlated with the most different Internet activities. Our findings contrast with many of the relationships found in previous research which have used small, homogeneous samples. We discuss these differences in term of the size and type of samples which were used in previous research, in terms of the time periods of Internet development in which the research was conducted, and in terms of the Internet activities which were measured.
“…Our results are consistent with the notion that people who score high in Neuroticism may use the Internet to allay loneliness (Amiel & Sargent, 2004;Correa et al, 2010;Orchard & Fullwood, 2010). Others found this relation to hold with specific groups: females (Guadagno et al, 2008, andBen-Artzi, 2000) and applications such as Facebook (Hughes et al, 2012;Ryan & Xenos, 2011). Openness showed a positive relation with online communication.…”
Section: Communicationsupporting
confidence: 81%
“…Anxiety (related to Neuroticism) and shyness bore no relationship with Internet communication behaviors (Scealy et al, 2002). Openness was found to be negatively related to information exchange (Swickert et al, 2002) and positively related to blog-writing (Guadagno, Okdie, & Eno, 2008).…”
a b s t r a c tStudies that have examined the relationship between personality and Internet use so far were largely conducted on the basis of small, non-representative samples, and have yielded conflicting results. In the current study we estimate the relationship of the Big 5 personality traits and Internet use in a large nationally representative U.S. sample of over 6900 young adults with average age of 26. Our results suggest that global Internet use is positively related to Extraversion, Neuroticism, and Conscientiousness. We also examine the relationship of the Big 5 with online communication, leisure, academic, and economic activities. Extraversion is correlated with the most different Internet activities. Our findings contrast with many of the relationships found in previous research which have used small, homogeneous samples. We discuss these differences in term of the size and type of samples which were used in previous research, in terms of the time periods of Internet development in which the research was conducted, and in terms of the Internet activities which were measured.
“…This is also consistent with Amichai-Hamburger and Ben-Artzi (2000), in which, Neuroticism was positively related to the use of social services (e.g., chatting and participating in forums) on the Internet. Similarly, Guadagno, Okdie, and Eno (2008) found that people who are high in Neuroticism are likely to be bloggers who express personal content using a blog, a new form of online self-presentation and self-expression.…”
Executive SummaryThe purpose of this study was to find some of the predominant factors that determine the intention of students to use eLearning in the future. Since eLearning is not just a technology acceptance decision but also involves cognition, this study extended its search beyond the normal technology acceptance variables into variables that could affect the cognition of an individual due to his or her unique characteristics.The variables in the literature of technology acceptance studies can be classified broadly into 5 categories. They are Individual Differences, Beliefs, Attitude, Behavioral Intention, and Actual Behavior. Since the Technology Acceptance Model (TAM) is the most widely used model to study the acceptance of technology, this study adopted TAM and further extended it based on the recommendations from the literature of information systems and information technology.It can be said that eLearning is in the 'Early Adopters' stage in the academic sector and at the 'Early Majority' stage in the corporate sector of the innovation diffusion process. Individual differences are among the external variables said to influence the belief variables in TAM. The research intent is to understand what individual differences can be observed as the characteristics of early adopters of eLearning. Personality traits are one of the predominant measures of individual differences. This study employs the big five personality trait measures to measure the personality types of individuals engaged in eLearning and how they influence their decision to further engaging in eLearning. The variables of the research model are categorized into individual differences, beliefs and behavior. Apart from the TAM variables, i.e., Perceived Ease of Use (PEU) and Perceived Usefulness (PU), this study has incorporated Perceived Enjoyment (PE) which is a measure of intrinsic motivation and Subjective Norms (SN) into the beliefs variables category.This research was conducted among the master degree students of eLearning programs at a University in Thailand. There are 750 students who have completed or are currently enrolled in these programs at the university. The students comprise both Thai national and international students. A total of 249 usable questionnaires were collected. The respondents studied in eLearning master degree programs from a total of 26 different countries with majority of the respondents (83 percent) residing in Thailand. Most of the respondents (67 percent) had no prior experience with eLearning and the majority (64 percent) of respondents were females. Compared to the females, the males enjoyed eLearning more and expressed stronger intentions to use eLearning in the future.Respondents with prior eLearning expeMaterial published as part of this publication, either on-line or in print, is copyrighted by the Informing Science Institute. Permission to make digital or paper copy of part or all of these works for personal or classroom use is granted without fee provided that the copies are not made or distributed for ...
“…They found some evidences that personality and online behavior do have link to each other. For example: people scoring on high neuroticism often use more social media services like Facebook, Twitter and blogs [19], [30]. However, some studies found a negative correlation between neuroticism and overall Internet usage [54].…”
Personality plays an important role in various aspects of our daily life. It is being used in many application scenarios such as i) personalized marketing and advertisement of commercial products, ii) designing personalized ambient environments, iii) personalized avatars in virtual world, and iv) by psychologists to treat various mental and personality disorders. Traditional methods of personality assessment require a long questionnaire to be completed, which is time consuming. On the other hand, several works have been published that seek to acquire various personality traits by analyzing Internet usage statistics. ii
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