research-article

Experimentation for Developing Evidence-Based UI Standards of Mobile Survey Questionnaires

Authors:

Erica L. Olmsted-Hawala,

Brian Falcone,

Ivonne Figueroa,

Jonathan KatzAuthors Info & Claims

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Pages 2998 - 3004

https://doi.org/10.1145/3027063.3053181

Published: 06 May 2017 Publication History

Get Access

Abstract

With the growing use of smartphones, many surveys can now be administered using those phones. Such questionnaires are called mobile survey questionnaires. The designer of a mobile survey questionnaire is challenged with presenting text and controls on a small display, while allowing respondents to correctly understand and answer questions with ease. To address this challenge, we are developing an evidence-based framework of user interface design for mobile survey questionnaires. The framework includes two parts: standards for the basic elements of survey-relevant mobile device operation and guidelines for the building blocks of mobile survey questionnaires. In this presentation, we will describe five behavioral experiments designed to collect evidence for developing the standards. These experiments cover visual perception and motor actions relevant to survey completion. Some preliminary results from ongoing data collection are presented.

References

[1]

A. Smith. U.S. Smartphone Use in 2015. Pew Research Center, Washington DC, April 1, 2015, pp. 1--1. Retrieved Jan 3, 2017 from http://www.pewinternet.org/2015/04/01/ussmartphone-use-in-2015/.

Google Scholar

[2]

R. M. Groves, F.J. Fowler, M.P. Couper, J. M. Lepkowscki, E. Singer, and R. Tourangeau. Survey Methodology. Wiley, New Jersey, 2009.

Google Scholar

[3]

Decennial Census of Population and Housing. U.S. Census Bureau, Washington DC. Retrieved Jan 3, 2017 from http://www.census.gov/programssurveys/decennial-census.html

Google Scholar

[4]

M. P. Couper. 2008. Designing Effective Web Surveys. Cambridge University Press, Cambridge.

Digital Library

Google Scholar

[5]

Erica L. Olmsted-Hawala, Elizabeth M. Nichols, Temika Holland, Marylisa Gareau. 2016. Results of Usability Testing of the 2014 American Community Survey on Smartphones and Tablets Phase I: Before Optimization for Mobile Devices. Retrieved Jan 3, 2017 from http://www.census.gov/srd/papers/pdf/rsm201603.pdf

Google Scholar

[6]

Christopher Antoun, Jonathan Katz, Josef Argueta, Lin Wang. 2016. Design Heuristics for Effective Mobile Web Questionnaires. Social Science Computer Review. (Accepted, in revision7).

Google Scholar

[7]

C. D. Wickens, J.G. Hollands, S. Banbury, R. Parasuraman. Engineering Psychology and Human Performance. Taylor & Francis, New York, 2013.

Google Scholar

[8]

Personal correspondence with Dr. J. Choi, Aug 25, 2015.

Google Scholar

[9]

Roxanne Leitão and Paula Alexandra Silva. 2012. Design patterns for target sizes and spacings for smartphone user interfaces for older adults: a set of patterns based on an evaluation with users. In Proceedings of the 19th Conference on Pattern Languages of Programs, Article No 5. Retrieved Jan 3, 2017 from http://dl.acm.org/citation.cfm?id=2831275

Google Scholar

[10]

International Organization for Standardization. 2015. Ergonom-ics of human-system interaction -- Part 11: Usability: Def-initions and concepts. ISO 9241--11, ISO/IEC, Geneva.

Google Scholar

[11]

IReST -- International Reading Speed Texts. Precision Vision, Woodstock, IL, USA.

Google Scholar

Cited By

View all

Nichols EOlmsted-Hawala ERaim AWang L(2020)Attitudinal and Behavioral Differences Between Older and Younger Adults Using Mobile DevicesHuman Aspects of IT for the Aged Population. Technologies, Design and User Experience10.1007/978-3-030-50252-2_25(325-337)Online publication date: 10-Jul-2020
https://doi.org/10.1007/978-3-030-50252-2_25
Nichols EOlmsted-Hawala EWang L(2019)Optimal Designs of Text Input Fields in Mobile Web Surveys for Older AdultsHuman Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance10.1007/978-3-030-22012-9_34(463-481)Online publication date: 26-Jul-2019
https://dl.acm.org/doi/10.1007/978-3-030-22012-9_34
Sheikhbardsiri HYarmohammadian MKhankeh HNekoei-Moghadam MRaeisi A(2018)Meta-evaluation of published studies on evaluation of health disaster preparedness exercises through a systematic reviewJournal of Education and Health Promotion10.4103/jehp.jehp_159_177:1(15)Online publication date: 2018
https://doi.org/10.4103/jehp.jehp_159_17
Show More Cited By

Index Terms

Experimentation for Developing Evidence-Based UI Standards of Mobile Survey Questionnaires
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

New ISO Standards for Usability, Usability Reports and Usability Measures
Proceedings, Part I, of the 18th International Conference on Human-Computer Interaction. Theory, Design, Development and Practice - Volume 9731

Several new and revised ISO standards will be published in 2016/17 that define the basic terms and concepts of usability ISO 9241-11, give guidance on processes and outcomes of human-centred design ISO 9241-220, provide examples of measures that can be ...
The role of standards
Abstract
The Data Base Systems Study Group or Accredited Standards Committee X3 has initiated efforts that will lead to an eventual international standard in object-oriented data base systems. This work will require the coordination of current X3 ...
International standards for usability should be more widely used

Despite the authoritative nature of international standards for usability, many of them are not widely used. This paper explains both the benefits and some of the potential problems in using usability standards in areas including user interface design, ...

Comments

Information & Contributors

Information

Published In

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

May 2017

3954 pages

ISBN:9781450346566

DOI:10.1145/3027063

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

This paper is authored by an employee(s) of the United States Government and is in the public domain. Non-exclusive copying or redistribution is allowed, provided that the article citation is given and the authors and agency are clearly identified as its source.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 May 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

U.S. Census Bureau

Conference

CHI '17

Sponsor:

SIGCHI

CHI '17: CHI Conference on Human Factors in Computing Systems

May 6 - 11, 2017

Colorado, Denver, USA

Acceptance Rates

CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
165
Total Downloads

Downloads (Last 12 months)5
Downloads (Last 6 weeks)0

Reflects downloads up to 07 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Nichols EOlmsted-Hawala ERaim AWang L(2020)Attitudinal and Behavioral Differences Between Older and Younger Adults Using Mobile DevicesHuman Aspects of IT for the Aged Population. Technologies, Design and User Experience10.1007/978-3-030-50252-2_25(325-337)Online publication date: 10-Jul-2020
https://doi.org/10.1007/978-3-030-50252-2_25
Nichols EOlmsted-Hawala EWang L(2019)Optimal Designs of Text Input Fields in Mobile Web Surveys for Older AdultsHuman Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance10.1007/978-3-030-22012-9_34(463-481)Online publication date: 26-Jul-2019
https://dl.acm.org/doi/10.1007/978-3-030-22012-9_34
Sheikhbardsiri HYarmohammadian MKhankeh HNekoei-Moghadam MRaeisi A(2018)Meta-evaluation of published studies on evaluation of health disaster preparedness exercises through a systematic reviewJournal of Education and Health Promotion10.4103/jehp.jehp_159_177:1(15)Online publication date: 2018
https://doi.org/10.4103/jehp.jehp_159_17
Olmsted-Hawala ENichols EFalcone BFigueroa IAntoun CWang L(2018)Optimal Data Entry Designs in Mobile Web Surveys for Older AdultsHuman Aspects of IT for the Aged Population. Acceptance, Communication and Participation10.1007/978-3-319-92034-4_26(335-354)Online publication date: 15-Jul-2018
https://dl.acm.org/doi/10.1007/978-3-319-92034-4_26

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

New ISO Standards for Usability, Usability Reports and Usability Measures

The role of standards

International standards for usability should be more widely used

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations