Predicting Video Game Behavior

Seok, Soonhwa; DaCosta, Boaventura

doi:10.1177/1555412014565640

Cited by 25 publications

(10 citation statements)

References 57 publications

(79 reference statements)

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“…Other studies found associations between time spent on mobile calls and extraversion [34] and low agreeableness [34,73], while text messaging was associated with neuroticism [34,73], extraversion [34], low self-esteem [73], low agreeableness [34], and low conscientiousness [34]. Time spent on mobile game playing was associated with low agreeableness [220,253].…”

Section: Resultsmentioning

confidence: 99%

Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure

Thomée

2018

IJERPH

233

147

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The purpose of this study was to carry out a review of observational studies that consider links between mobile phone use and mental health from a psychological or behavioral perspective. Systematic literature searches in PubMed and PsycINFO for articles published until 2017 were done. Exclusion criteria included: papers that considered radiofrequency fields, attention, safety, relational consequences, sexual behavior, cyberbullying, and reviews, qualitative, and case or experimental studies. A total of 4738 papers were screened by title and abstract, 404 were retrieved in full text, and 290 were included. Only 5% had any longitudinal design. Self-reporting was the dominating method of measurement. One third of the studies included children or youth. A majority of adult populations consisted of university students and/or self-selected participants. The main research results included associations between frequent mobile phone use and mental health outcomes, such as depressive symptoms and sleep problems. Mobile phone use at bedtime was associated with, e.g., shorter sleep duration and lower sleep quality. “Problematic use” (dependency) was associated with several negative outcomes. In conclusion, associations between mobile phone use and adverse mental health outcomes are found in studies that take a psychological or behavioral perspective on the exposure. However, more studies of high quality are needed in order to draw valid conclusions about the mechanisms and causal directions of associations.

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Section: Resultsmentioning

confidence: 99%

Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure

Thomée

2018

IJERPH

233

147

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“…There were 80 papers investigating two or more topics, indicating that the researchers tried to investigate the impacts of applying mobile technology in game-based learning from various perspectives. As for Cooperation and communication, several studies (with a 2% increase in the second-time period) reported that mobile game-based learning had a positive effect, showing another potential of this approach (Laine and Suk, 2016;Seok and DaCosta, 2015). As shown in Table 6, the majority of participants in the research from 2007 to 2011 were adults (35%), while the largest group of subjects from 2012 to 2016 was elementary school students (26%), with teachers in second place (18%).…”

Section: Methodsmentioning

confidence: 99%

Trends in digital game-based learning in the mobile era: a systematic review of journal publications from 2007 to 2016

Chang

Hwang

2019

IJMLO

110

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The application of mobile learning and the use of game-based instructional strategies have been demonstrated as promoting students' learning performances and motivation. Over the past decade, many researchers and educators have integrated mobile technology and the features of gaming into their instructional designs; however, there has been little systematic review of the applications and trends in mobile technology-supported gaming. In the present study, related international journal publications from 2007 to 2016 were reviewed by searching the WOS database. The aim of this literature review was to highlight the research domain and issues of promoting gamebased learning in future mobile technology. Based on this review, trends in mobile game-based learning are proposed from various aspects, such as the adoption of mobile technologies, gaming types, application domains, learning strategies, research issues, research methods, and participants. Accordingly, several suggestions are given for future studies.

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“…29 For example, an individual's level of agreeableness has been found to predict the frequency and number of hours he or she will spend playing smartphone games. 30 As a result, we would argue that the current models are informative of how smartphone users will behave in reallife scenarios. A second limitation concerns how we determined ownership.…”

Section: Limitations and Conclusionmentioning

confidence: 99%

Predicting Smartphone Operating System from Personality and Individual Differences

Shaw

Ellis

Kendrick

et al. 2016

Cyberpsychology, Behavior, and Social Networking

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Android and iPhone devices account for over 90 percent of all smartphones sold worldwide. Despite being very similar in functionality, current discourse and marketing campaigns suggest that key individual differences exist between users of these two devices; however, this has never been investigated empirically. This is surprising, as smartphones continue to gain momentum across a variety of research disciplines. In this article, we consider if individual differences exist between these two distinct groups. In comparison to Android users, we found that iPhone owners are more likely to be female, younger, and increasingly concerned about their smartphone being viewed as a status object. Key differences in personality were also observed with iPhone users displaying lower levels of Honesty-Humility and higher levels of emotionality. Following this analysis, we were also able to build and test a model that predicted smartphone ownership at above chance level based on these individual differences. In line with extended self-theory, the type of smartphone owned provides some valuable information about its owner. These findings have implications for the increasing use of smartphones within research particularly for those working within Computational Social Science and PsychoInformatics, where data are typically collected from devices and applications running a single smartphone operating system.

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Predicting Video Game Behavior

Cited by 25 publications

References 57 publications

Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure

Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure

Trends in digital game-based learning in the mobile era: a systematic review of journal publications from 2007 to 2016

Predicting Smartphone Operating System from Personality and Individual Differences

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