Challenges and opportunities for prompt management. Empirical investigation of text-based GenAI users
Author (Corporation)
Publication date
01.09.2024
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editors
Editor (Corporation)
Supervisor
Parent work
Mensch und Computer 2024 - Workshopband
Special issue
DOI of the original publication
Link
Series
Mensch und Computer
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
Gesellschaft für Informatik e.V.
Place of publication / Event location
Karlsruhe
Edition
Version
Programming language
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Practice partner / Client
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.
Keywords
Subject (DDC)
004 - Computer Wissenschaften, Internet
005 - Computer Programmierung, Programme und Daten
005 - Computer Programmierung, Programme und Daten
Event
MCI-WS09. Workshop on Generative Artificial Intelligence in Interactive Systems. Experiences from the Community
Exhibition start date
Exhibition end date
Conference start date
01.09.2024
Conference end date
04.09.2024
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Green
License
Citation
PATKAR, Nitish, Anton FEDOSOV und Martin KROPP, 2024. Challenges and opportunities for prompt management. Empirical investigation of text-based GenAI users. In: Mensch und Computer 2024 - Workshopband. Karlsruhe: Gesellschaft für Informatik e.V. 1 September 2024. Mensch und Computer. Verfügbar unter: https://doi.org/10.26041/fhnw-11610