Optimal Data Entry Designs in Mobile Web Surveys for Older Adults
Growing numbers of people are using their mobile phones to respond to online surveys. As a result, survey designers face the challenge of displaying questions and their response options and navigation elements on small smartphone screens in a way that encourages survey completion. The purpose of the...
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Published in | Human Aspects of IT for the Aged Population. Acceptance, Communication and Participation pp. 335 - 354 |
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Main Authors | , , , , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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Summary: | Growing numbers of people are using their mobile phones to respond to online surveys. As a result, survey designers face the challenge of displaying questions and their response options and navigation elements on small smartphone screens in a way that encourages survey completion. The purpose of the present study was to conduct a series of systematic assessments of how older adults using smartphones interact with different user-interface features in online surveys. This paper shares results of three different experiments. Experiment 1 compares different ways of displaying choose-one response options. Experiment 2 compares different ways of displaying numeric entry boxes, specifically ones used to collect currency information (e.g., prices, costs, salaries). Experiment 3 tests whether forward and backward navigational buttons on a smartphone survey should be labeled with words (previous, next) or simply indicated with arrow icons (<, >). Results indicate that certain features such as picker-boxes that appear at the bottom of the screen (iOS devices), fixed formatting of numeric-entry boxes, and icon navigation buttons were problematic. They either had negative impacts on performance (response times and/or accuracy) or only a small percentage of participants preferred these design features when asked to compare them to the other features. |
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ISBN: | 3319920332 9783319920337 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-92034-4_26 |