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).
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Authors
- Oksanen, Atte (Tampere University. Faculty of Social Sciences)
- Savela, Nina (Tampere University. Faculty of Social Sciences)
Keywords
artificial intelligence, attitudes, computers, cooperation, group behaviour, intergroup relations, occupational life, workplace relations
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.
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