Samply: A user-friendly smartphone app and web-based means of scheduling and sending mobile notifications for experience-sampling research

Author:

Shevchenko YuryORCID,Kuhlmann TimORCID,Reips Ulf-DietrichORCID

Abstract

AbstractUndertaking an experience-sampling study via smartphones is complex. Scheduling and sending mobile notifications often requires the use of proprietary software that imposes limits on participants’ operating systems (whether iOS or Android) or the types of questions that can be asked via the application. We have developed an open-source platform—Samply—which overcomes these limitations. Researchers can access the entire interface via a browser, manage studies, schedule and send notifications linking to online surveys or experiments created in any Internet-based service or software, and monitor participants' responses—all without the coding skills usually needed to program a native mobile application. Participants can download the Samply Research mobile application for free from Google Play or the App Store, join a specific study, receive notifications and web links to surveys or experiments, and track their involvement. The mobile application leverages the power of the React Native JavaScript library, which allows it to be rendered in the native code of Android and iOS mobile operating systems. We describe Samply, provide a step-by-step example of conducting an experience-sampling study, and present the results of two validation studies. Study 1 demonstrates how we improved the website’s usability for researchers. Study 2 validates the mobile application’s data recording ability by analyzing a survey’s participation rate. The application’s possible limitations and how mobile device settings might affect its reliability are discussed.

Funder

Projekt DEAL

Publisher

Springer Science and Business Media LLC

Subject

General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology

Reference31 articles.

1. Andrews, L., Bennett, R. R., & Drennan, J. (2011). Capturing affective experiences using the SMS Experience Sampling (SMS-ES) method. International Journal of Market Research, 53(4), 479–506. https://doi.org/10.2501/IJMR-53-4-479-506

2. Barker, R. G., & Wright, H. F. (1951). One boy’s day; a specimen record of behavior. https://doi.org/10.1037/h0050044

3. Bonaccorsi, A., & Rossi, C. (2003). Why open source software can succeed. Research Policy, 32(7), 1243–1258. https://doi.org/10.1016/S0048-7333(03)00051-9

4. Conner, T. (2015). Experience sampling and ecological momentary assessment with mobile phones. Retrieved from http://www.otago.ac.nz/psychology/otago047475.pdf

5. Frick, A., Bächtiger, M. T., & Reips, U.-D. (2001). Financial incentives, personal information and drop-out in online studies. In U.-D. Reips & M. Bosnjak (Eds.), Dimensions of internet science (pp. 209–219). Lengerich: Pabst.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3