Brainstorming, originally conceived by Alex Osborn in 1953, is widely recognized as an effective tool for promoting creativity and innovation within teams. However, as technologies advance and new tools emerge, such as duels of generative artificial intelligence, the brainstorming landscape is evolving. This study aims to investigate the use of Chat GPT, DALL-E and Miro in brainstorming sessions in presence, to evaluate the user experience of users depending on the tool used and their influence on human group creativity. It was followed by a design of repeated measurements research, where each group of participants carried out in succession the three sessions of brainstorming with the help of different tools. The methodology used is mixed qualitative and quantitative, through three online surveys. The key indicators considered include the total number of ideas generated, the uniqueness and feasibility of the same, as well as the subjective perception of participants on the effectiveness of the brainstorming process. In conclusion, this study aims to provide meaningful information on the use of artificial intelligence tools to facilitate or not collaborative creative processes, offering progression for future research in artificial intelligence-assisted innovation.

Gerardini, K., Sarcinella, E. D., Borghesi, F., Pozzi, A., Gaggioli, A., Chirico, A., Comparing UX Profile of Generative Artificial Intelligence Tools and Traditional Tools in Brainstorming Sessions: A Pilot Study, in 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, (gbr, 21-23 October 2024), Institute of Electrical and Electronics Engineers Inc., St Albans 2024: 1059-1064. [10.1109/MetroXRAINE62247.2024.10796552] [https://hdl.handle.net/10807/324924]

Comparing UX Profile of Generative Artificial Intelligence Tools and Traditional Tools in Brainstorming Sessions: A Pilot Study

Gerardini, Katusha;Sarcinella, Eleonora Diletta;Pozzi, Andrea;Gaggioli, Andrea;Chirico, Alice
Ultimo
2024

Abstract

Brainstorming, originally conceived by Alex Osborn in 1953, is widely recognized as an effective tool for promoting creativity and innovation within teams. However, as technologies advance and new tools emerge, such as duels of generative artificial intelligence, the brainstorming landscape is evolving. This study aims to investigate the use of Chat GPT, DALL-E and Miro in brainstorming sessions in presence, to evaluate the user experience of users depending on the tool used and their influence on human group creativity. It was followed by a design of repeated measurements research, where each group of participants carried out in succession the three sessions of brainstorming with the help of different tools. The methodology used is mixed qualitative and quantitative, through three online surveys. The key indicators considered include the total number of ideas generated, the uniqueness and feasibility of the same, as well as the subjective perception of participants on the effectiveness of the brainstorming process. In conclusion, this study aims to provide meaningful information on the use of artificial intelligence tools to facilitate or not collaborative creative processes, offering progression for future research in artificial intelligence-assisted innovation.
2024
Inglese
2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering
3rd IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2024
gbr
21-ott-2024
23-ott-2024
979-83-503-7800-9
Institute of Electrical and Electronics Engineers Inc.
Gerardini, K., Sarcinella, E. D., Borghesi, F., Pozzi, A., Gaggioli, A., Chirico, A., Comparing UX Profile of Generative Artificial Intelligence Tools and Traditional Tools in Brainstorming Sessions: A Pilot Study, in 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, (gbr, 21-23 October 2024), Institute of Electrical and Electronics Engineers Inc., St Albans 2024: 1059-1064. [10.1109/MetroXRAINE62247.2024.10796552] [https://hdl.handle.net/10807/324924]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/324924
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