Who uses dating apps? Exploring the relationships among trust, sensation-seeking, smartphone use, and the intent to use dating apps based on the Integrative Model

Chan, Lik Sam

doi:10.1016/j.chb.2017.02.053

Cited by 98 publications

(74 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…If the perception of others as more attractive and more similar lead to greater UIA, it can also promote greater self-disclosure. In turn, greater self-disclosure can promote reciprocal attraction and increase trust, which has been associated with greater intention to use online dating services to look for potential romantic partners (Chan, 2017). Therefore, greater UIA in online platforms can broadly be associated with the development of different types of relationships, including romantic ones.…”

mentioning

confidence: 99%

A new look at online attraction: Unilateral initial attraction and the pivotal role of perceived similarity

Rodrigues

Lopes

Goldenberg

2017

Computers in Human Behavior

View full text Add to dashboard Cite

https://repositorio.iscte-iul.pt ONLINE ATTRACTION AND THE UIA PHENOMENON 1 NOTICE: this is the author's version of a work that was accepted for publication in Computers in Human Behavior. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently

show abstract

mentioning

confidence: 99%

A new look at online attraction: Unilateral initial attraction and the pivotal role of perceived similarity

Rodrigues

Lopes

Goldenberg

2017

Computers in Human Behavior

View full text Add to dashboard Cite

show abstract

“…Previous studies have demonstrated the main factors that can influence people to translate their intention into action, these factors include the dimensions of behavioral goals, the basis and properties of the intention (Sheeran and Webb 2016). As far as smartphone dependence is concerned, this addicted behavior is affected by many variables, such as sensation seeking (Chan 2017), behavioral habit (Turel and Serenko 2012), positive and negative reinforcement (Chen et al 2019), and fundamental information requirement(M. S. Kwon and Lee 2017; Panova and Carbonell 2018), etc. Therefore, in order to have a better understanding of smartphone dependence, and make a reasonable explanation for the intention-behavior gap, we need to consider the influence of various factors comprehensively.…”

Section: Discussionmentioning

confidence: 99%

Validity test of the theory of planned behavior in college students’ withdrawal from smartphone dependence

Yue

Liu

et al. 2020

Curr Psychol

View full text Add to dashboard Cite

Smartphone usage has brought great convenience to our daily life. However, the detrimental consequences of smartphone dependence also require special attention. Based on the theory of planned behavior (TPB), this study designed a questionnaire to investigate college students’ withdrawal from smartphone dependence. The reliability and validity of the questionnaire were tested. The results showed that the reliability of the questionnaire was good (α = 0.84–0.94). The principal component analysis was conducted, contribution rates of these factors were moderately high (62.06%–82.35%). The validity was verified through confirmatory factor analysis. All the model fit indices were higher than the acceptable standard, which indicated the construct validity of the TPB questionnaire is good. The results of the multi-group structural equation model revealed that the model provided excellent fit to the data in each demographic group. The results of structural equation model presented that, in most demographic groups, students’ attitude, subjective norm, and perceived behavioral control of withdrawal from smartphone dependence positively influenced their behavioral intention. Furthermore, subjective norm was the most effective predictors in each group. However, part of the paths from intention to behavior failed to reach the significant level, and their coefficients are relatively small. This reveals the gap between college students’ withdrawal intention and their actual behavior, and there may be other factors influence the relationship between the two variables.

show abstract

“…These people start dating someone with the intention, but not certainty, of a high-involved relationship (Buunk et al, 2002). Others seek casual, potentially sexual, dates which may involve personal contact without the intention to become high-involved, intimate relationship partners (Peter and Valkenburg, 2007;Clemens et al, 2015;Chan, 2017). For them, meeting a dating partner or gaining dating experience can already be indicative of success (Gibbs et al, 2006;Sharabi and Dykstra-DeVette, 2019).…”

Section: Background Online Dating Intentions and Relationship Goalsmentioning

confidence: 99%

Effects of Relationship Goal on Linguistic Behavior in Online Dating Profiles: A Multi-Method Approach

et al. 2019

View full text Add to dashboard Cite

This study uses two methods to examine whether online daters looking for a long-term relationship behave linguistically different in their profile texts compared to daters seeking casual relationships. To investigate these linguistic differences, 12,310 existing Dutch dating profiles were analyzed using the Linguistic Inquiry and Word Count (LIWC) program and a word-based classifier. Results of both methods suggest there are reliable differences in the linguistic behavior long-term and casual relationship seekers employ in their dating profiles: long-term relationship seekers mention more topics that are relevant when looking for a long-term relationship, such as internal personality traits and qualities. Additionally, long-term relationship seekers seem to self-disclose more in their profile texts by providing more personal information and using more I-references. Profile texts of casual relationship seekers are more diffuse and harder to classify. Moreover, the study demonstrates that using a multi-method approach, with LIWC and a data-driven word-based classifier, provides a deeper understanding of linguistic differences between the two relationship seeking groups.

show abstract

Who uses dating apps? Exploring the relationships among trust, sensation-seeking, smartphone use, and the intent to use dating apps based on the Integrative Model

Cited by 98 publications

References 42 publications

A new look at online attraction: Unilateral initial attraction and the pivotal role of perceived similarity

A new look at online attraction: Unilateral initial attraction and the pivotal role of perceived similarity

Validity test of the theory of planned behavior in college students’ withdrawal from smartphone dependence

Effects of Relationship Goal on Linguistic Behavior in Online Dating Profiles: A Multi-Method Approach

Contact Info

Product

Resources

About