Mehler, Maren F. ; Krautter, Kai (2024)
Productivity vs. Purpose: Generative AI Enhances Task Performance but Reduces Meaningfulness in Programming.
32nd European Conference on Information Systems (ECIS). Paphos, Zypern (13.-19.06.2024)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Generative Artificial Intelligence (GenAI) has become widespread in daily work but present novel challenges for users as previously meaningful tasks can now be completed by GenAI. This study examines the impact of ChatGPT on task performance and perceived meaningfulness in two programming tasks. In an online experiment (n=161) assigning participants to coding or debugging tasks, with and without ChatGPT assistance, we found that using ChatGPT improved task performance, partially because the supported tasks are less difficult. However, using ChatGPT resulted in lower perceived meaningfulness, partly because participants considered the tasks less effortful. Notably, both tasks exhibited slightly different results, indicating that contextual factors may amplify or mitigate the effects. This study emphasizes the dual nature of GenAI integration, balancing enhanced performance with psychological impacts on users. Our findings offer insights for organizations and developers on integrating GenAI, highlighting the importance of incorporating efficiency gains with the meaningfulness of human work.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Mehler, Maren F. ; Krautter, Kai |
| Art des Eintrags: | Bibliographie |
| Titel: | Productivity vs. Purpose: Generative AI Enhances Task Performance but Reduces Meaningfulness in Programming |
| Sprache: | Englisch |
| Publikationsjahr: | 2024 |
| Ort: | Paphos, Zypern |
| Veranstaltungstitel: | 32nd European Conference on Information Systems (ECIS) |
| Veranstaltungsort: | Paphos, Zypern |
| Veranstaltungsdatum: | 13.-19.06.2024 |
| URL / URN: | https://aisel.aisnet.org/ecis2024/track05_fow/track05_fow/7 |
| Kurzbeschreibung (Abstract): | Generative Artificial Intelligence (GenAI) has become widespread in daily work but present novel challenges for users as previously meaningful tasks can now be completed by GenAI. This study examines the impact of ChatGPT on task performance and perceived meaningfulness in two programming tasks. In an online experiment (n=161) assigning participants to coding or debugging tasks, with and without ChatGPT assistance, we found that using ChatGPT improved task performance, partially because the supported tasks are less difficult. However, using ChatGPT resulted in lower perceived meaningfulness, partly because participants considered the tasks less effortful. Notably, both tasks exhibited slightly different results, indicating that contextual factors may amplify or mitigate the effects. This study emphasizes the dual nature of GenAI integration, balancing enhanced performance with psychological impacts on users. Our findings offer insights for organizations and developers on integrating GenAI, highlighting the importance of incorporating efficiency gains with the meaningfulness of human work. |
| Fachbereich(e)/-gebiet(e): | 01 Fachbereich Rechts- und Wirtschaftswissenschaften 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Wirtschaftsinformatik 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Software Business & Information Management |
| Hinterlegungsdatum: | 23 Jul 2024 10:57 |
| Letzte Änderung: | 23 Jul 2024 10:57 |
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