FSD3712 Robots and Us Survey: United States, January 2019
The dataset is (C) available for research only (including Master's, doctoral and Polytechnic/University of Applied Sciences Master's theses). The dataset may not be used for teaching, study (e.g. seminar papers, essays) or other theses (Bachelor's theses or equivalent).
Download the data
Study description in other languages
Related files
Study title
Robots and Us Survey: United States, January 2019
Dataset ID Number
FSD3712
Persistent identifiers
https://urn.fi/urn:nbn:fi:fsd:T-FSD3712https://doi.org/10.60686/t-fsd3712
Data Type
Quantitative
Authors
- Oksanen, Atte (Tampere University. Faculty of Social Sciences)
- Savela, Nina (Tampere University. Faculty of Social Sciences)
Abstract
The survey charted the opinions and attitudes of US citizens towards robots and how interaction changes when a human is replaced by a robot in a work team. The data was collected as part of the Robots in Society research project. The project explores interaction processes and societal understanding of human-robot encounters.
First, respondents were asked about their background and personality traits. In the next section, respondents were randomly assigned to different experimental groups. In the experiment, respondents were asked to imagine themselves in a hypothetical work situation. The experiment varied the composition of the work team by including one or more robots in the imaginary situation or by describing a work team consisting solely of humans. Respondents were then asked how they identified with this work team. Respondents were then asked to write a short imaginary text about their first day in this new job with the team in question. After the experimental set-up, respondents were asked about their previous experience with robots, as well as their attitudes towards technology and robots.
The following scales or measures, which also appear as abbreviations in the variable names, have been used in the data: BF = A short 15-item Big Five Inventory (BFI-S) of personality dimensions (personality traits neuroticism, extroversion, openness, agreeableness and conscientiousness) and IGI = In-Group Identification: self-definition and self-investment. In addition, the employment industries are formed according to the International Standard Industrial Classification of All Economic Activities (ISIC 2008).
Background variables included the respondent's gender, age group, area of residence, type of residence, highest level of education, houdehold's gross annual income, economic activity and industry of employment.
Keywords
artificial intelligence; attitudes; computers; cooperation; group behaviour; intergroup relations; occupational life; workplace relations
Topic Classification
- Social sciences (Fields of Science Classification)
- Labour and employment (CESSDA Topic Classification)
- Information society (CESSDA Topic Classification)
- Social behaviour and attitudes (CESSDA Topic Classification)
Series
Individual datasetsDistributor
Finnish Social Science Data Archive
Access
The dataset is (C) available only for research including master's theses.
Data Collector
- Oksanen, Atte (Tampere University. Faculty of Social Sciences)
- Savela, Nina (Tampere University. Faculty of Social Sciences)
Funders
- Finnish Cultural Foundation
Time Period Covered
2019
Collection Dates
2019-01-10 – 2019-01-11
Nation
United States
Geographical Coverage
United States
Analysis/Observation Unit Type
Individual
Universe
United States residents aged 19-78
Time Method
Cross-section
Sampling Procedure
Non-probability: Quota
Respondent panel and quota sampling. The research team recruited respondents from Amazon Mechanical Turk, a crowdsourcing website whose users volunteered to answer surveys. Gender quotas were used to ensure that the gender distribution of the data matched the gender distribution of the U.S. population (U.S. Census Bureau). The final number of observations is 1,003, from which 46 respondents were dropped by the researcher during the data quality check.
Collection Mode
Self-administered questionnaire: Web-based (CAWI)
Research Instrument
Structured questionnaire
Participant tasks
Data File Language
Downloaded data package may contain different language versions of the same files.
The data files of this dataset are available in the following languages: English.
FSD translates quantitative data into English on request, free of charge. More information on ordering data translation.
Number of Cases and Variables
138 variables and 1003 cases.
Data Version
1.0
Related Datasets
FSD3713 Robots and Us Survey: United States, April 2019
FSD3714 Robots and Us, Sentiment Survey: United States 2020
Completeness of Data and Restrictions
For identification purposes, the researcher has categorised age and area of residence.
To prevent identification of respondents, variable (re10) containing open-ended responses to the response option "Other, please specify" were removed from the data at FSD.
Weighting
There are no weight variables in the data.
Citation Requirement
The data and its creators shall be cited in all publications and presentations for which the data have been used. The bibliographic citation may be in the form suggested by the archive or in the form required by the publication.
Bibliographical Citation
Oksanen, Atte (Tampere University) & Savela, Nina (Tampere University): Robots and Us Survey: United States, January 2019 [dataset]. Version 1.0 (2023-12-21). Finnish Social Science Data Archive [distributor]. https://urn.fi/urn:nbn:fi:fsd:T-FSD3712
Deposit Requirement
Notify FSD of all publications where you have used the data by sending the citation information to user-services.fsd@tuni.fi.
Disclaimer
The original data creators and the archive bear no responsibility for any results or interpretations arising from the reuse of the data.
Related Materials
Robots in Society. Tampere University.
Related Publications
Study description in machine readable DDI-C 2.5 format
Metadata record is licensed under a Creative Commons Attribution 4.0 International license.