Conference paper Gold Open Access 2021

Elucidating Skills for Job Seekers: Insights and Critical Concerns from a Field Deployment in Switzerland

DIS 2021 - Proceedings of the 2021 ACM Designing Interactive Systems Conference: Nowhere and Everywhere
Conference · pp. 449-465
Abstract

This article contributes results of a longitudinal field study of SkillsIdentifier, an employment tool originally designed and assessed in the United States (U.S.), to support "underrepresented"job seekers in identifying and articulating their employment skills. To understand whether the tool could support the needs of job seekers outside the U.S., we assessed it among 16 job seekers with limited education and language resources in Switzerland. While many of our results mirrored those of the U.S., we found that the tool was especially beneficial for non-French speaking immigrants who needed support describing their skills outside of their native language. We also found that listing skills like "active listening"without important context was insufficient and risked hiding key skills and meaning behind those skills to employers. Taking these factors into account, we illustrate the design implications of our findings and directions for practitioners who wish to design employment tools in support of job seekers, especially those who have traditionally been excluded from the labor market. We then provide insight into the potential for unintended consequences as a result of focusing solely on skills in a post-COVID labor market and contribute ways to mitigate them. © 2021 Owner/Author.

Keywords

Author Keywords

soft skills employment labor market underrepresented job seekers

Index Keywords

Employment Commerce Active listening Design implications Field deployment Labor markets Language resources Longitudinal field study Native language Unintended consequences
Author Affiliations
Université de Lausanne (UNIL), Lausanne, VD, Switzerland
University of Michigan, Ann Arbor, Ann Arbor, MI, United States
Funding & Acknowledgements
National Science Foundation, NSF
Grant: IIS-1717186, IIS-1717186
We would like to thank Alexandre Senges for his instrumental help conducting the interviews. We thank our participants for their time and insights. This research was funded by the Swiss National Science Foundation (grant n. 178878), the Swiss National Centre of Competence in Research \u2018Lives\u2019 (IP204), and the National Science Foundation (award IIS-1717186).
National Science Foundation, NSF
We would like to thank Alexandre Senges for his instrumental help conducting the interviews. We thank our participants for their time and insights. This research was funded by the Swiss National Science Foundation (grant n. 178878), the Swiss National Centre of Competence in Research \u2018Lives\u2019 (IP204), and the National Science Foundation (award IIS-1717186).
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF
Grant: 178878
We would like to thank Alexandre Senges for his instrumental help conducting the interviews. We thank our participants for their time and insights. This research was funded by the Swiss National Science Foundation (grant n. 178878), the Swiss National Centre of Competence in Research \u2018Lives\u2019 (IP204), and the National Science Foundation (award IIS-1717186).
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF
We would like to thank Alexandre Senges for his instrumental help conducting the interviews. We thank our participants for their time and insights. This research was funded by the Swiss National Science Foundation (grant n. 178878), the Swiss National Centre of Competence in Research \u2018Lives\u2019 (IP204), and the National Science Foundation (award IIS-1717186).
National Centre of Competence in Research Robotics
Grant: IP204
We would like to thank Alexandre Senges for his instrumental help conducting the interviews. We thank our participants for their time and insights. This research was funded by the Swiss National Science Foundation (grant n. 178878), the Swiss National Centre of Competence in Research \u2018Lives\u2019 (IP204), and the National Science Foundation (award IIS-1717186).
National Centre of Competence in Research Robotics
We would like to thank Alexandre Senges for his instrumental help conducting the interviews. We thank our participants for their time and insights. This research was funded by the Swiss National Science Foundation (grant n. 178878), the Swiss National Centre of Competence in Research \u2018Lives\u2019 (IP204), and the National Science Foundation (award IIS-1717186).
References 10 References
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2 Allan, Kori, Going beyond language: Soft skill-ing cultural difference and immigrant integration in Toronto, Canada, Multilingua, 35, 6, pp. 617-647, (2016)
3 Social Forces, (2019)
4 Adverse Effect of the Covid 19 Labor Market Shock on Immigrant Employment, (2020)
5 Job Vacancies and Unemployment in Switzerland 2006 2014 Labor Market Mismatch and the Significance of Labor Market Tightness for Unemployment Duration, (2017)
6 Labor Force Characteristics by Race and Ethnicity 2016, (2017)
7 Labor Force Statistics from the Current Population Survey
8 Unemployment Rates and Earnings by Educational Attainment
9 Economic News Release Persons with A Disability Labor Force Characteristics Summary
10 Chen, Le, Investigating the impact of gender on rank in resume search engines, Conference on Human Factors in Computing Systems - Proceedings, 2018-April, (2018)
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