Details
| Original language | English |
|---|---|
| Pages (from-to) | 379-391 |
| Number of pages | 13 |
| Journal | International Journal of Social Research Methodology |
| Volume | 22 |
| Issue number | 4 |
| Early online date | 22 Jan 2019 |
| Publication status | Published - 4 Jul 2019 |
| Externally published | Yes |
Abstract
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.
Keywords
- Acceleration, JavaScript, mobile sensors, passive data collection, response quality, smartphones, web survey
ASJC Scopus subject areas
- Social Sciences(all)
- General Social Sciences
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In: International Journal of Social Research Methodology, Vol. 22, No. 4, 04.07.2019, p. 379-391.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - SurveyMotion
T2 - what can we learn from sensor data about respondents’ completion and response behavior in mobile web surveys?
AU - Höhne, Jan Karem
AU - Schlosser, Stephan
PY - 2019/7/4
Y1 - 2019/7/4
N2 - 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.
AB - 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.
KW - Acceleration
KW - JavaScript
KW - mobile sensors
KW - passive data collection
KW - response quality
KW - smartphones
KW - web survey
UR - http://www.scopus.com/inward/record.url?scp=85060613873&partnerID=8YFLogxK
U2 - 10.1080/13645579.2018.1550279
DO - 10.1080/13645579.2018.1550279
M3 - Article
AN - SCOPUS:85060613873
VL - 22
SP - 379
EP - 391
JO - International Journal of Social Research Methodology
JF - International Journal of Social Research Methodology
SN - 1364-5579
IS - 4
ER -