SurveyMotion
What can we learn from sensor data about respondents’ completion and response behavior in mobile web surveys
Bibliographic Data
| ID | 12594893 |
|---|---|
| Authors | Jan Karem Höhne (0000-0003-1467-1975, Collaborative Research Center 884 ‘‘Political Economy of Reforms’’, University of Mannheim, Mannheim, Germany, corresponding author), Stephan Schlosser (0000-0001-9805-4485, Center of Methods in Social Sciences, University of Göttingen, Göttingen, Germany) |
| Year | 2019 |
| Volume | 22 |
| Issue | 4 |
| Pages | 379-391 |
| Publication date | 2019-01-22 |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Social Research Methodology (JOURNAL) |
| Journal identifiers | ISSN: 1364-5579 • E-ISSN: 1464-5300 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/13645579.2018.1550279 |
| OpenAlex | W2914750101 |
| Language | EN |
| Citations received | 5 |
| References cited | 18 |
Participation in web surveys via smartphones increased continuously in recent years. The reasons for this increase are a growing proportion of smartphone owners and an increase in mobile Internet access. However, research has shown that smartphone respondents are frequently distracted and/or multitasking, which might affect completion and response behavior in a negative way. We propose ‘SurveyMotion (SMotion)’, a JavaScript-based tool for mobile devices that can gather information about respondents’ motions during web survey completion by using sensor data. Specifically, we collect data about the total acceleration (TA) of smartphones. We conducted a lab experiment and varied the form of survey completion (e.g. standing or walking). Furthermore, we employed questions with different response formats (e.g. radio buttons and sliders) and measured response times. The results reveal that SMotion detects higher TAs of smartphones for respondents with comparatively higher motion levels. In addition, respondents’ motion level affects response times and the quality of responses given. The SMotion tool promotes the exploration of how respondents complete mobile web surveys and could be employed to understand how future mobile web surveys are completed
Human multitasking · Internet privacy · JavaScript · Mobile device · Mobile technology · Mobile Web · Motion (physics · Motion sensors · Multimedia · Quality (philosophy · The Internet · Web survey · World Wide Web · Computer Science · Human Mobility and Location-Based Analysis · Mobile Crowdsensing and Crowdsourcing · Psychology · Survey Methodology and Nonresponse · Artificial Intelligence
Squats in Surveys
Do you have your smartphone with you? Behavioral barriers for measuring everyday activities with smartphone sensors
Is there a growing use of mobile devices in web surveys? Evidence from 128 web surveys in Germany
Completion Conditions and Response Behavior in Smartphone Surveys
Using a Mobile App When Surveying Highly Mobile Populations
Task switching
Internet, mail, and mixed-mode surveys
Do online access panels need to adapt surveys for mobile devices
Comparing Grids With Vertical and Horizontal Item-by-Item Formats for PCs and Smartphones
The Design of Grids in Web Surveys
Investigating the Adequacy of Response Time Outlier Definitions in Computer-Based Web Surveys Using Paradata SurveyFocus
Data Quality in PC and Mobile Web Surveys
Investigating Cognitive Effort and Response Quality of Question Formats in Web Surveys Using Paradata
The Impact of Mobile Phones on Survey Measurement Error
| Citations per year | 0.83 |
|---|---|
| Citation span | 2020 - 2023 (4) |
| Highly cited | No |