Device use in Web Surveys

2016 ◽  
Vol 58 (4) ◽  
pp. 523-544 ◽  
Author(s):  
Aigul Mavletova ◽  
Mick P. Couper
Keyword(s):  
Mobile Phone ◽  
Mobile Devices ◽  
Mobile Internet ◽  
Participation Rates ◽  
Web Surveys ◽  
Mobile Web ◽  
Percentage Points ◽  
Internet Users ◽  
Sample Composition ◽  
Device Use

This paper hypothesises that conditional differential incentives can increase overall participation rates and the proportion of respondents who use a particular device in web surveys. Previous studies have not found effective ways of encouraging participants to use smartphones to complete web surveys. We conducted an experiment using a volunteer online access panel in Russia with 5,474 invitations sent to regular mobile internet users. We varied the invitation mode (SMS vs email) and encouragement to use a particular device for completing the survey: mobile phone or personal computer (PC). SMS increased the proportion of mobile web respondents, while email increased the proportion of PC web respondents. As expected, differential incentives increased the overall participation rates by 8–10 percentage points if higher incentives were offered for completing the survey on a mobile phone. Contrary to expectations, offering higher incentives to PC web respondents did not produce higher participation rates compared to the control condition. Both encouraging the use of a mobile phone and offering higher incentives were effective at increasing the proportion of respondents using mobile devices. In terms of both participation rates and the proportion of respondents using mobile devices, offering incentives 50% higher was as efficient as offering incentives 100% higher for mobile web respondents. Offering higher incentives to mobile web respondents also had an effect on sample composition. Significantly higher participation rates were found among females and those with higher education.

Security Architectures of Mobile Computing

2009 ◽  
pp. 2660-2673
Author(s):  
Kaj Grahn ◽  
Göran Pulkkis ◽  
Jonny Karlsson ◽  
Dai Tran
Keyword(s):  
Mobile Devices ◽  
Wireless Network ◽  
Computer Network ◽  
Local Area ◽  
Mobile Internet ◽  
Personal Area Networks ◽  
Wireless Internet ◽  
Electronic Payments ◽  
Internet Users ◽  
Audio Streams

Mobile Internet users expect the same network service quality as over a wire. Technologies, protocols, and standards supporting wired and wireless Internet are converging. Mobile devices are resource constrained due to size, power, and memory. The portability making these devices attractive also causes data exposure and network penetration risks. Mobile devices can connect to many different wireless network types, such as cellular networks, personal area networks, wireless local area networks (WLANs), metropolitan area networks (MANs), and wide area networks (satellite-based WANs). Wireless network application examples are e-mailing, Web browsing, m-commerce, electronic payments, synchronization with a desktop computer, network monitoring/management, and reception of video/audio streams.

scholarly journals Student use of mobile devices in university lectures

2014 ◽  
Vol 30 (4) ◽  
Author(s):  
Neil Roberts ◽  
Michael Rees
Keyword(s):  
Focus Group ◽  
Mobile Phone ◽  
Mobile Devices ◽  
Mobile Device ◽  
Laptop Computers ◽  
Common Activity ◽  
Survey Results ◽  
Device Use

<p>Mobile devices are increasingly used by students in university lectures. This has resulted in controversy and the banning of mobile devices in some lectures. Although there has been some research into how students use laptop computers in lectures, there has been little investigation into the wider use of mobile devices. This study was designed to investigate which mobile devices students use, what they use them for and the duration of each activity within 1 hour lectures. Students in six cross faculty core classes (n=74 students total) at Bond University responded to a survey asking them to document and comment on their mobile device use over the previous hour at the end of their lecture. A focus group of students who had not been surveyed was conducted to cross-validate the survey results. The key results were that 66% of students responding to the survey reported using a mobile device in the lecture. Of this group, 45% used a mobile phone and 38% a laptop. The most common activity was typing notes on a laptop, followed by accessing lecture slides. The vast majority of mobile device usage was on task and related to the lecture<strong>.</strong></p>

Security Architectures of Mobile Computing

2007 ◽  
pp. 839-848
Author(s):  
K. Grahn
Keyword(s):  
Mobile Devices ◽  
Wireless Network ◽  
Computer Network ◽  
Local Area ◽  
Mobile Internet ◽  
Personal Area Networks ◽  
Wireless Internet ◽  
Electronic Payments ◽  
Internet Users ◽  
Audio Streams

Mobile Internet users expect the same network service quality as over a wire. Technologies, protocols, and standards supporting wired and wireless Internet are converging. Mobile devices are resource constrained due to size, power, and memory. The portability making these devices attractive also causes data exposure and network penetration risks. Mobile devices can connect to many different wireless network types, such as cellular networks, personal area networks, wireless local area networks (WLANs), metropolitan area networks (MANs), and wide area networks (satellite-based WANs). Wireless network application examples are e-mailing, Web browsing, m-commerce, electronic payments, synchronization with a desktop computer, network monitoring/management, and reception of video/audio streams.

scholarly journals Pengembangan Sistem Perpustakaan Universitas Muhammadiyah Malang Berbasis Android Dengan Metode Waterfall

Repositor ◽  
2020 ◽  
Vol 2 (6) ◽  
pp. 745
Author(s):  
Muhammad Ilham ◽  
Gita Indah Marthasari ◽  
Ilyas Nuryasin
Keyword(s):  
Mobile Devices ◽  
Teaching And Learning ◽  
Service Providers ◽  
Educational Institution ◽  
Mobile Internet ◽  
The Internet ◽  
Internet Service ◽  
Web Based ◽  
Internet Users ◽  
The University

AbstractThe library is a source of knowledge and supporting facilities in each educational institution, especially in this discussion the library is at a college or university. With the library, it will facilitate students in finding various information about teaching and learning, and will also improve the teaching and learning process. The Indonesian Internet Service Providers Association (APPJI) in its survey of several years stated that the use of mobile devices has a very large increase. Recorded from 2013 to 2017 has a very large increase of 61.26 million internet users in Indonesia. The behavior of internet users based on the device used to access the internet is 44.16% in the use of mobile devices, mobile devices and computers ortop 4.49%, the use of mobile devices and computers by 39.28%. This means that the behavior of internet users in Indonesia is very dominant in accessing the internet through mobile devices. Moreover statistics show that mobile internet users are also increasing from year to year. Previously there was a library system at the University of Muhammadiyah Malang web-based. But in this case the tendency of the behavior of internet users in the use of mobile devices, the Muhammadiyah University Library of Malang has a huge opportunity in developing an improving services in meeting the needs of students in finding information needs.AbstrakPerpustakaan adalah sumber ilmu pengetahuan dan sarana penunjang pada setiap instansi pendidikan terutama dalam pembahasannya ini perpustakaan yang ada pada perguruan tinggi atau universitas. Dengan adanya perpustakaan maka akan memudahkan mahasiswa dalam mencari berbagai informasi mengenai belajar mengajar, dan juga akan meningkatkan dalam proses belajar mengajar. Asosiasi Penyelenggara Jasa Internet Indonesia (APPJI) pada surveynya dari beberapa tahun ini menyatakan penggunaa pada perangkat mobile memiliki peningkatan yang sangat besar. Tercatat dari tahun 2013 sampai 2017 memiliki peningkatan yang sangat besar yaitu 61,26 juta jiwa pengguna internet di Indonesia. Perilaku pengguna internet berdasarkan perangkat yang digunakan untuk mengakses internet yaitu 44.16% dalam penggunaan perangkat mobile, perangkat mobile dan komputer ataulaptop 4.49 %, pengunaan perangkat mobile dan komputer sebesar 39.28%.  Hal ini berarti perilaku pengguna internet di Inonesia sangat dominan mengakses internet melalui perangkat mobile. Apalagi statistic menunjukkan bahwa pengguna mobile internet juga semakin meningkat dari tahun ketahun. Sebelumnya sudah ada sistem perpustakaan pada Universitas Muhammadiyah Malang berbasis web. Tetapi dalam hal ini kecenderungan perilaku pengguna internet dalam penggunaan perangkat mobile, maka Perpustakaan Universitas Muhammadiyah Malang memiliki peluang yang sangat besar dalam mengembangkan dan meningkatkan pelayanan dalam memenuhi kebutuhan mahasiswa dalam mencari kebutuhan informasi.

scholarly journals Mobile Web 2.0. Theoretical-technical framework and developing trends.

2008 ◽  
Vol 2 (4) ◽  
pp. 54
Author(s):  
Hugo Pardo Kuklinski ◽  
Joel Brandt ◽  
Juan Pablo Puerta
Keyword(s):  
Computer Graphics ◽  
Web 2.0 ◽  
Mobile Phone ◽  
Mobile Devices ◽  
Mobile Web ◽  
Novel Technology ◽  
Seven Principles ◽  
Usage Patterns ◽  
Mobile Phone Usage ◽  
Technical Framework

More recently, synergy between novel technology and new usage patterns has enabled the convergence of mobile devices and Web 2.0 applications. This synthesis is embodied in a new conceptual and profitable space called mobile Web 2.0, where an always on empowered web consumer, is sought after by manufacturers, operators, business developers and media actors. In this article, we will mainly focus on mobile Web 2.0 as defined above. This piece of research delineates an original theoretical and technical framework that helps introduce the reader to the mobile Web 2.0 phenomenon. For this, the central aspects in the evolution of mobile phone usage towards Internet-based collaborative applications will be emphasized. In addition to it, the difficulties and limitations faced by the industry, the seven principles of Web 2.0 for mobile devices, and product, content and GUI aspects of this incipient market will be analyzed. A computer graphics have been included as a summary of this piece of research.

Mobile Phone Craving And Problem Use In The Spanish Population: Analysis Of An Internet-Based Survey (Preprint)

2020 ◽  
Author(s):  
Jose De-Sola ◽  
Gabriel Rubio ◽  
Hernan Talledo ◽  
Carmen Jaudenes ◽  
Andrea DÁgostino ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Cell Phone ◽  
Basic Education ◽  
Population Analysis ◽  
Spanish Population ◽  
Behavioral Disorder ◽  
Urban Centers ◽  
Autonomous Communities ◽  
Cell Phone Use ◽  
Device Use

BACKGROUND Problem phone use is a growing concern in most societies, being associated to social and health problems in a similar way to other behavioral addictions. However, both, its prevalence and its nature as a behavioral disorder are not well described nor understood. More over it is not universally recognized yet as a clinical entity that deserves health-oriented interventions. OBJECTIVE In this study, both, an evaluation of cell phone craving and problematic cell phone use among the Spanish population was carried out. Our initial hypothesis is that both problematic cell phone use and cravings have increased in the last 5 years. METHODS Methods We used our adaptation of the original Mobile Phone Problematic Use Scale (MPPUS) as well as the Mobile Phone Addiction Craving Scale (MPACS) A total of 1,612 online interviews were conducted in 17 autonomous communities in the Spanish territory, with a global and specific analysis by gender, age, profession, education level and population center size. RESULTS The results indicate that the prevalence of problematic cell phone use in Spain is currently 4.8%, with 14.8% of users who abuse and are at risk of dependence and lack of control. In total, 19.6% of the population currently has mobile device use issues. These results do not differ significantly from those obtained in our previous investigation; in contrast, the level of craving increased significant. Both in the prevalence of problematic cell phone use and in craving, the highest incidence is observed for people between 16 and 35 years old, students, and users without education or basic education and in urban centers. There are no differences between genders. CONCLUSIONS Therefore, the present study confirms that prevalence of problem phone use remained high in the Spanish Population, despite the rising concerns around its unhealthy consequences. In addition, we confirmed an increase in cell phone craving scores, indicating that technological dependence and need is increasing every day. CLINICALTRIAL The present study is not an intervention study so no Trial Registration was requested

scholarly journals Adventure Code Camp: Library Mobile Design in the Backcountry

2014 ◽  
Vol 33 (3) ◽  
pp. 45 ◽  
Author(s):  
David Ward ◽  
James Hahn ◽  
Lori Mestre
Keyword(s):  
Mobile Devices ◽  
Design Process ◽  
Mobile Apps ◽  
Library Services ◽  
Mobile Web ◽  
Process Outcomes ◽  
Mobile Design ◽  
Web App ◽  
Software Services

<p>This article presents a case study exploring the use of a student Coding Camp as a bottom-up mobile design process to generate library mobile apps. A code camp sources student programmer talent and ideas for designing software services and features.  This case study reviews process, outcomes, and next steps in mobile web app coding camps. It concludes by offering implications for services design beyond the local camp presented in this study. By understanding how patrons expect to integrate library services and resources into their use of mobile devices, librarians can better design the user experience for this environment.</p>

scholarly journals Use of a research app in an online opt-in panel: The Netquest case

2021 ◽  
Vol 14 (1) ◽  
pp. 205979912098537
Author(s):  
Melanie Revilla ◽  
Ezequiel Paura ◽  
Carlos Ochoa
Keyword(s):  
Mobile Devices ◽  
Participation Rates ◽  
Online Surveys ◽  
Research Questions

The increasing use of mobile devices in the frame of online surveys has been accompanied by the development of research apps. These research apps have the potential to facilitate the process for respondents (e.g. being able to complete surveys when Internet is not available provides more freedom on when and where participants can participate) and fieldwork companies (e.g. the possibility to use push notifications could lead to higher participation rates). However, previous research suggests that panelists may also be reluctant to install an app. In this study, we answer research questions related to the knowledge and use of the Netquest app. We found that a majority of panelist did not know about the app and although sending invitations significantly increased its installation, the overall total of respondents installing the app remained low. Furthermore, the profile of those who installed the app differs from those who did not. The participation of panelists after they installed the app seems stable. The main reason for installing the app is comfort while the main reason for not installing relates to space/battery usage. Most of those who did not install could accept to install the app.

scholarly journals Research on the Use of Mobile Devices and Headphones on Pedestrian Crossings—Pilot Case Study from Slovakia

Safety ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 17
Author(s):  
Miroslava Mikusova ◽  
Joanna Wachnicka ◽  
Joanna Zukowska
Keyword(s):  
Mobile Phone ◽  
Mobile Devices ◽  
Mobile Phones ◽  
Slovak Republic ◽  
Pedestrian Behavior ◽  
The Road ◽  
Phone Calls ◽  
Lack Of Information ◽  
Interaction Factor ◽  
Future Work

The topic of the use of mobile devices and headphones on pedestrian crossings is much less explored in comparison to the use of the mobile phone while driving. Recent years have seen many discussions on this issue, especially in foreign countries. The Slovak Republic, however, has not been giving it enough attention (and it is not mentioned in the National Road Safety Plan for the Slovak Republic from 2011 to 2020). This paper aims to draw attention to this issue. It presents basic outputs of a pilot study on pedestrian safety, with a focus on the use of mobile devices and headphones at selected non-signalized pedestrian crossings in three Slovak cities. Overall, 9% of pedestrians used headphones or mobile devices at observed pedestrian crossings (4% of them used headphones, 1% used headphones and at same time used their mobile phone, 2% made phone calls and 2% used their mobile phones). While these numbers can be considered relatively low, the study proved that during weekdays every 2 min someone was using the crossing without fully focusing on crossing the road safely. Another main finding was that although the safety risk at pedestrian crossings is increased by factors such as rush hour traffic or reduced visibility, pedestrian behavior related to the use of mobile phones and headphones does not change. A safety assessment was also carried out at the crossings. The results show that pedestrian behavior is not affected by the level of safety of the crossing (e.g., visibility of the crossing for drivers). The results of the presented analysis suggest that action is needed to change that. Due to the lack of information about accidents involving pedestrians using mobile phones and headsets when crossing the road, no relevant statistical data could be analyzed. The dataset collected can be used as a basis for further investigation or comparisons with other countries of the relevant indicators. In future work, we would like to include a pedestrian–driver interaction factor focusing on driver speed behavior in relation to pedestrians (who are on or are about to step onto a pedestrian crossing) and identify critical situations caused by improper behavior of drivers and/or pedestrians. This will help to understand speed adjustment problems related to pedestrian crossings.

scholarly journals 0013 Mobile Device Use in Bed and Relationships to Work Productivity: Impact of Anxiety

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A5-A5
Author(s):  
A Gozar ◽  
A Seixas ◽  
L Hale ◽  
C Branas ◽  
M Barrett ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Mobile Device ◽  
Productivity Loss ◽  
Work Productivity ◽  
Well Being ◽  
Mobile Phone Use ◽  
Mediating Role ◽  
Mobile Phone Usage ◽  
Device Use ◽  
Healthy Activity

Abstract Introduction Mobile phone use at night is associated with worse sleep quality. It may also be associated with daytime productivity, possibly via anxiety. Methods Data were obtained from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study, including N=1007 adults age 22–60. Mobile device use in bed was assessed as the frequency that participants reported: a device in the bedroom, use of the device in bed, texting, emails, internet browsing, calls, and/or social networking in bed, being woken up by the device in a planned (alarm) or unplanned (alert/call/message) way, and checking the phone at night. Each of these were coded as “never,” “rarely,” or “often.” Work productivity was assessed with the Well-Being Assessment of Productivity (WBA-P; scores 0–22 measure productivity loss). Regressions with WBA-P score as outcome and mobile phone variables as predictors were adjusted for age, sex, race/ethnicity, education, and income level. Post-hoc analyses included GAD7 score to examine the mediating role of anxiety. Results The presence of a device was not associated with productivity loss, but frequent use (“often”) was (B=1.26,p=0.01). Increased productivity loss was also seen in those who frequently (“often”) sent texts (B=1.20,p=0.008), browsed internet (B=1.14,p=0.01), emailed (B=2.09,p&lt;0.0005), called (B=1.42,p=0.004), and used social media (B=1.26,p=0.004). Productivity loss was associated with being woken by a call/alert “rarely” (B=1.20,p=0.001) or “often” (B=1.72,p=0.005), but not by alarm. Checking the phone at night “rarely” (B=0.89,p=0.01) and “often” (B=1.73,p&lt;0.0005) were also associated with productivity loss. When anxiety was entered into the model, all relationships except those with frequent emails and calls in bed became nonsignificant. Conclusion Anxiety may be the underlying cause for both increased mobile phone usage and reduced productivity. Reducing anxiety levels may indirectly aid in decreasing nighttime mobile phone use and increasing daytime productivity. Support The SHADES study was funded by R21ES022931 Dr. Grandner is supported by R01MD011600

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