Exploring Smartphone Application Usage Logs with Declared Sociological Information

Rivron, Vassili; Khan, Mohammad Irfan; Charneau, Simon; Chrisment, Isabelle

doi:10.1109/bdcloud-socialcom-sustaincom.2016.49

Cited by 3 publications

(3 citation statements)

References 33 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We find app frequency to have an unsurprisingly long tail, suggesting there are few apps that were used with very high frequency but most apps were launched for very few times. It is similar to the finding in Rivron et al (2016), that around 12% of the installed apps are used 80% of the time, suggesting that lots of apps are not used regularly.…”

Section: Basic Analysissupporting

confidence: 86%

“…There have been some studies using smartphone apps to infer user personal information. For example, demographic attributes (e.g., gender, region and marital status), interests, personality traits and life stages have been learned from app lists installed on smartphones, app installation behaviors (installation, updating and uninstallation) and app usage behaviors (Chittaranjan et al 2011(Chittaranjan et al , 2013Frey et al 2015Frey et al , 2017Jesdabodi and Maalej 2015;Malmi and Weber 2016;Qin et al 2016;Rivron et al 2016;Seneviratne et al 2015;Tu et al 2019;Wang et al 2015Wang et al , 2018Xu et al 2011Xu et al , 2016bZhao et al 2016Zhao et al , 2017aZhao et al , b, c, 2018Zhao et al , 2019bLi et al 2015a;Mo et al 2012;Brdar et al 2012;Ying et al 2012;Andone et al 2016;Peltonen et al 2018;Zou et al 2013;Yu et al 2018;Ouyang et al 2018;Wang et al 2019;Böhmer et al 2011;Liu et al 2018). In this section, we will review the related work in three aspects: inferring demographics, explaining personality, and discovering life patterns.…”

Section: Related Workmentioning

confidence: 99%

“…He/she may simply want to try the app out, and may never use it again or may have uninstalled it. According to the statistics in Rivron et al (2016), only 10% of apps were used 80% of the time, suggesting that a lot of apps are downloaded but not used regularly. For the app installation behaviors, especially the updating, many users do not frequently update their apps or even let the OS automatically update apps.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigating smartphone user differences in their application usage behaviors: an empirical study

Zhao

et al. 2019

CCF Trans. Pervasive Comp. Interact.

View full text Add to dashboard Cite

Smartphone applications (Abbr. apps) have become an indispensable part in our everyday lives. Users determine what apps to use depending on their personal needs and interests. Users with different attributes may have different needs, making it natural for their app usage behaviors to be different. The differences in app usage behaviors among users make it possible to infer their attributes. Knowing such differences could help improve mobile user experiences by enhancing smart services and devices. In this paper, we present an empirical study of investigating smartphone user differences on a large-scale dataset of recently used app lists from 106,672 Android users from China. We first investigate the user differences in app usage behaviors with respect to their attributes (gender, age, and income level). We find significant differences in app usage frequency, app usage with time context and functions. We then extract corresponding features from app usage records to infer the attributes of each user, and investigate the predictive ability of individual features and combinations of different individual features. We achieve the accuracy of 83.29% for gender, 69.94% for age (four age ranges) and 71.43% for income level (three income levels) with the best set of features, respectively. Finally, we discuss the implications of our findings and the limitations of this work.

show abstract

Section: Basic Analysissupporting

confidence: 86%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigating smartphone user differences in their application usage behaviors: an empirical study

Zhao

et al. 2019

CCF Trans. Pervasive Comp. Interact.

View full text Add to dashboard Cite

show abstract

Floor plan optimization for indoor environment based on multimodal data

Kang

Kim

2021

J Supercomput

View full text Add to dashboard Cite

Exploring Digital Health Use and Opinions of University Students: Field Survey Study

Montagni¹,

Cariou²,

Feuillet³

et al. 2018

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

BackgroundDuring university, students face some potentially serious health risks, and their lifestyle can have a direct effect on health and health behaviors later in life. Concurrently, university students are digital natives having easy access to the internet and new technologies. Digital health interventions offer promising new opportunities for health promotion, disease prevention, and care in this specific population. The description of the current use of and opinions on digital health among university students can inform future digital health strategies and interventions within university settings.ObjectiveThe aim of this exploratory study was to report on university students’ use and opinions regarding information and communication technologies for health and well-being, taking into account sociodemographic and self-rated general and mental health correlates.MethodsThis field survey was conducted from March to April 2017. An informed consent form and a paper questionnaire were given to students aged 18 to 24 years in 4 university campuses in Bordeaux, France. The survey was formulated in 3 sections: (1) sociodemographic characteristics and self-rated general and mental health, (2) information about the use of digital health, and (3) opinions about digital health. Data were analyzed using descriptive statistics and tests of independence.ResultsA total of 59.8% (303/507 females) students completed the questionnaire. Concerning digital health use, 34.9% (174/498) had at least 1 health app mostly for physical activity (49.4%, 86/174) and general health monitoring (41.4%, 72/174,), but only 3.9% (20/507) of students had a wearable device. Almost all (94.8%, 450/476) had searched for Web-based health-related information at least once in the last 12 months. The most sought health-related topics were nutrition (68.1%, 324/476); pain and illnesses (64.5%, 307/476); and stress, anxiety, or depression (51.1%, 243/476). Although Wikipedia (79.7%, 357/448) and general health websites (349/448, 77.9%) were the most consulted sources, students considered institutional or official websites as the most credible sources (309/335, 92.2%). There were significant differences in digital health use by gender, field, and year of study. No statistically significant association was found between digital health use and self-rated general and mental health status. Concerning opinions on digital health, although 94.1% (475/505) of students estimated that today’s digital health cannot replace traditional health services and medical consultations, 44.6% (207/464) of students declared that this could be possible in the future, provided that digital health interventions are promoted by institutional or official entities.ConclusionsUniversity students are largely using the internet for health information seeking, but using less mobile health apps and very few wearable devices. Our data suggest that digital health has the potential for improving health and well-being at the university, especially if digital health interventions take into ac...

show abstract

Exploring Smartphone Application Usage Logs with Declared Sociological Information

Cited by 3 publications

References 33 publications

Investigating smartphone user differences in their application usage behaviors: an empirical study

Investigating smartphone user differences in their application usage behaviors: an empirical study

Floor plan optimization for indoor environment based on multimodal data

Exploring Digital Health Use and Opinions of University Students: Field Survey Study

Contact Info

Product

Resources

About