Challenges and Opportunities for Prompt Management: Empirical Investigation of Text-based GenAI Users
dc.contributor.author | Patkar, Nitish | |
dc.contributor.author | Fedosov, Anton | |
dc.contributor.author | Kropp, Martin | |
dc.date.accessioned | 2024-08-21T11:08:35Z | |
dc.date.available | 2024-08-21T11:08:35Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Generative AI (genAI) tools, like ChatGPT, have become popular not only with everyday users but also with Human-Computer Interaction (HCI) researchers and practitioners. Despite their rapid adoption, there is a lack of studies examining their design, particularly regarding prompt handling, organization, and management. Our empirical survey study, involving 61 genAI tool users, addresses this gap by investigating the usability and user experience of the current features of these tools. We illustrate that advanced search and labeling functionalities and innovative interface designs can significantly enhance user experience as well as aid in reflecting on sustainability when using this technology. As genAI approaches the so-called “Trough of Disillusionment” (in Gartner’s Hype Cycle terms),1 our research aims to guide the design of genAI tools toward a more pragmatic and practical fit to end-user practices, ensuring that technology adoption comes with a deeper understanding of its capabilities and offerings. | en |
dc.identifier.doi | 10.18420/muc2024-mci-ws09-155 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/44289 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Mensch und Computer 2024 - Workshopband | |
dc.relation.ispartofseries | Mensch und Computer | |
dc.rights | http://purl.org/eprint/accessRights/RestrictedAccess | |
dc.rights.uri | http://purl.org/eprint/accessRights/RestrictedAccess | |
dc.title | Challenges and Opportunities for Prompt Management: Empirical Investigation of Text-based GenAI Users | en |
dc.type | Text/Workshop Paper | |
gi.conference.date | 1.-4. September 2024 | |
gi.conference.location | Karlsruhe | |
gi.conference.sessiontitle | MCI-WS09: Workshop on Generative Artificial Intelligence in Interactive Systems: Experiences from the Community |
Dateien
Originalbündel
1 - 1 von 1
Lade...
- Name:
- muc2024-mci-ws09-155.pdf
- Größe:
- 540.57 KB
- Format:
- Adobe Portable Document Format