Sample description
| Variables | Frequencies (n = 256) |
|---|---|
| Gender | |
| Women | 152 (59.4%) |
| Men | 104 (40.6%) |
| Age | |
| <20 years | 4 (1.6%) |
| 20–29 years | 63 (24.6%) |
| 30–39 years | 96 (37.5%) |
| 40–49 years | 82 (32.0%) |
| 50+ years | 11 (4.3%) |
| Education | |
| Middle school degree | 4 (1.6%) |
| High school degree | 97 (37.9%) |
| Bachelor/Master’s degree | 138 (53.9%) |
| Doctoral and other postgraduate degrees | 17 (6.6%) |
| Occupation | |
| Student | 45 (17.6%) |
| Employee | 137 (53.5%) |
| Self-employed | 31 (12.1%) |
| Unemployed | 5 (2.0%) |
| Other | 38 (14.8%) |
| Why did you interact with a chatbot? | |
| Asking information | 89 (34.6%) |
| Buying products/services | 41 (16.0%) |
| Asking for assistance | 91 (35.6%) |
| Making complaints | 35 (13.8%) |
| To what sector do your most frequent chatbots belong? | |
| Fashion | 21 (8.4%) |
| Personal (health)care | 16 (6.2%) |
| Technology | 72 (28.0%) |
| Telecommunications | 75 (29.4%) |
| Travel and entertainment | 34 (13.1%) |
| Financial and insurance services | 38 (14.9%) |
| Variables | Frequencies ( |
|---|---|
| Women | 152 (59.4%) |
| Men | 104 (40.6%) |
| <20 years | 4 (1.6%) |
| 20–29 years | 63 (24.6%) |
| 30–39 years | 96 (37.5%) |
| 40–49 years | 82 (32.0%) |
| 50+ years | 11 (4.3%) |
| Middle school degree | 4 (1.6%) |
| High school degree | 97 (37.9%) |
| Bachelor/Master’s degree | 138 (53.9%) |
| Doctoral and other postgraduate degrees | 17 (6.6%) |
| Student | 45 (17.6%) |
| Employee | 137 (53.5%) |
| Self-employed | 31 (12.1%) |
| Unemployed | 5 (2.0%) |
| Other | 38 (14.8%) |
| Asking information | 89 (34.6%) |
| Buying products/services | 41 (16.0%) |
| Asking for assistance | 91 (35.6%) |
| Making complaints | 35 (13.8%) |
| Fashion | 21 (8.4%) |
| Personal (health)care | 16 (6.2%) |
| Technology | 72 (28.0%) |
| Telecommunications | 75 (29.4%) |
| Travel and entertainment | 34 (13.1%) |
| Financial and insurance services | 38 (14.9%) |
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