FSD3714 Robots and Us, Sentiment Survey: United States 2020
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Aineistoon liittyvät tiedostot
Aineiston nimi
Robots and Us, Sentiment Survey: United States 2020
Aineistonumero
FSD3714
Pysyvät tunnisteet
https://urn.fi/urn:nbn:fi:fsd:T-FSD3714https://doi.org/10.60686/t-fsd3714
Aineiston laatu
Kvantitatiivinen aineisto
Tekijät
- Oksanen, Atte (Tampere University. Faculty of Social Sciences)
- Savela, Nina (Tampere University. Faculty of Social Sciences)
- Latikka, Rita (Tampere University. Faculty of Social Sciences)
Sisällön kuvaus
The survey charted the opinions and attitudes of US citizens towards robots and how interaction changes when a human is replaced by a robot. 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. They were also asked about their work and their use of technology. Next, respondents were randomly divided into four different experimental groups. Respondents were asked to imagine themselves in a hypothetical work situation. The experiment varied the composition of the work-related social group by including four robots in the imaginary situation or by describing a group of people only. It also varied whether the experiment referred to a work team or to individual job seekers. Respondents were then asked to write a short imaginary text about their first day in this new job with the team in question.
In the second test, respondents were divided into four groups. Respondents were asked to imagine a situation in which they would receive information from other people about how to use a robot. The experiment varied the proximity of the informant to the respondent and the positivity of the information. After the experiment, respondents were asked about their self-efficacy in using the robot, their general attitude towards robots and their perceived usefulness of using the robot. After the experimental set-up, respondents were asked about their previous experiences with robots, as well as attitudes and self-efficacy 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 = Big Five Inventory (personality traits neuroticism, extroversion, openness, agreeableness and conscientiousness), SIAS = SIAS-6 Social Interaction Anxiety, TE3-TE4 = Social Identification, TE5-TE7 = Perceived Technology Support, RS = Robot Self-Efficacy RUSH-3, SE1-SE3 = Robot Self-Efficacy RUSH-3, SE4-SE7 = Perceived Robot Usefulness, and ANX = Anxiety toward robots.
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.
Asiasanat
artificial intelligence; attitudes; computers; cooperation; group behaviour; intergroup relations; occupational life; workplace relations
Tieteenala/Aihealue
- Social sciences (OKM:n tieteenalaluokitus)
- Labour and employment (CESSDAn aihepiiriluokitus)
- Information society (CESSDAn aihepiiriluokitus)
- Social behaviour and attitudes (CESSDAn aihepiiriluokitus)
Sarja
Individual datasetsJakelija
Finnish Social Science Data Archive
Käyttöoikeudet
The dataset is (C) available only for research including master's theses.
Kerääjät
- Oksanen, Atte (Tampere University. Faculty of Social Sciences)
- Savela, Nina (Tampere University. Faculty of Social Sciences)
- Latikka, Rita (Tampere University. Faculty of Social Sciences)
Rahoittajat
- Finnish Cultural Foundation
Ajallinen kattavuus
2020
Aineistonkeruun ajankohta
2020-04-29 – 2020-04-30
Maa
United States
Kohdealue
United States
Havaintoyksikkötyyppi
Individual
Perusjoukko/otos
United States residents aged 18-79
Tutkimuksen aikaulottuvuus
Cross-section
Otantamenetelmä
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 1,059, from which 78 respondents were dropped by the researcher during the data quality check.
Keruumenetelmä
Self-administered questionnaire: Web-based (CAWI)
Keruuväline tai –ohje
Structured questionnaire
Participant tasks
Datatiedostojen kieli
Aineistopaketti voi sisältää samoja tiedostoja eri kielisinä.
Aineisto sisältää datatiedostoja seuraavilla kielillä: englanti.
Tietoarkisto kääntää kvantitatiivisia datatiedostoja englanniksi. Lisätietoja käännöspyynnön jättämisestä.
Havaintojen ja muuttujien lukumäärä
108 muuttujaa ja 1059 havaintoa.
Datan versio
1.0
Katso myös
FSD3712 Robots and Us Survey: United States, January 2019
FSD3713 Robots and Us Survey: United States, April 2019
Aineiston käytössä huomioitavaa
For identification purposes, the researcher has categorised age and area of residence.
Painokertoimet
There are no weight variables in the data.
Viittausvaatimus
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.
Malliviittaus
Oksanen, Atte (Tampere University) & Savela, Nina (Tampere University) & Latikka, Rita (Tampere University): Robots and Us, Sentiment Survey: United States 2020 [dataset]. Data version 1.0 (2024-01-04). Finnish Social Science Data Archive [distributor]. DOI: https://doi.org/10.60686/t-fsd3714; URN: https://urn.fi/urn:nbn:fi:fsd:T-FSD3714
Julkaisusta tiedottaminen
Notify FSD of all publications where you have used the data by sending the citation information to user-services.fsd@tuni.fi.
Varaumat
The original data creators and the archive bear no responsibility for any results or interpretations arising from the reuse of the data.
Käytön ja kuvailun oheismateriaalit
Robots in Society. Tampere University.
Julkaisut aineistosta
Aineiston kuvailu koneluettavassa DDI-C 2.5 -formaatissa
Aineiston kuvailu on lisensoitu Creative Commons Nimeä 4.0 Kansainvälinen -lisenssin mukaisesti.