Publicação
The Efficacy of AI in Solo Brainstorming Among Generation Z A Comparative Analysis of AI-Assisted Individual vs. Group Brainstorming Outcomes
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Victorino, Guilherme Hidalgo Barata Martins | |
| dc.contributor.author | Ferreira, Catarina dos Santos | |
| dc.date.accessioned | 2025-11-14T12:19:34Z | |
| dc.date.available | 2025-11-14T12:19:34Z | |
| dc.date.issued | 2025-10-30 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science | pt_PT |
| dc.description.abstract | The use of AI tools is becoming more prevalent in day-to-day life, affecting the way people process information, especially in younger generations, a demographic increasingly familiar with digital technologies. This research explores the role of AI-assisted brainstorming in influencing human brainstorming, especially on solo versus group settings. Using a surveybased approach, participants’ perceptions of AI’s impact are investigated on key variables such as idea quality, social presence, perceives humanness and evaluation apprehension. With a basis on creative collaboration and cognitive processes, it is examined how AI tools, such as ChatGPT, shape the brainstorming process of Generation Z (born between mid-1990s to early 2010s). The findings show that AI can effectively mediate the ideation process in both solo and collaborative settings, with no significant difference in idea quality between the two formats. Participants showed a slight preference for solo AI-assisted sessions, which may be attributed to the reduction of evaluation apprehension, fostering a psychologically safe space for idea generation. Although AI was perceived as polite and responsive, its perceived humanness was moderate, reflecting participants’ awareness of AI’s limitations. Additionally, the results suggest that individual AI-assisted brainstorming may outperform group-based approaches, challenging traditional views on collaborative ideation. | pt_PT |
| dc.identifier.tid | 204071739 | |
| dc.identifier.uri | http://hdl.handle.net/10362/190733 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | AI-assisted brainstorming | pt_PT |
| dc.subject | Idea Quality | pt_PT |
| dc.subject | Social Presence | pt_PT |
| dc.subject | Perceived Humanness | pt_PT |
| dc.subject | Evaluation Apprehension | pt_PT |
| dc.subject | Solo brainstorming | pt_PT |
| dc.subject | Generation Z | pt_PT |
| dc.subject | SDG 4 - Quality education | pt_PT |
| dc.subject | SDG 8 - Decent work and economic growth | pt_PT |
| dc.subject | SDG 9 - Industry, innovation and infrastructure | pt_PT |
| dc.subject | SDG 17 - Partnerships for the goals | pt_PT |
| dc.title | The Efficacy of AI in Solo Brainstorming Among Generation Z A Comparative Analysis of AI-Assisted Individual vs. Group Brainstorming Outcomes | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Ciência de Dados e Métodos Analíticos Avançados, especialização em Data Science | pt_PT |