Abstract
This study addresses the ambiguous impact of AI tools on writing burden and content quality in AI-aided writing. Despite their potential benefits, existing research presents conflicting results and neglects content quality assessment. We aim to design and evaluate AI-aided writing artifacts that enhance content quality without increasing writing burden, focusing on recipe writing. Employing extended mind theory and design science research, we develop a comprehensive framework for designing AI-aided recipe writing artifacts. This framework encompasses meta-requirements, design principles, design features and evaluation metrics. Our research can contribute valuable design knowledge to writers, readers, and AI tool developers, promoting the effective utilization of AI-aided writing tools while balancing quality improvement and writing burden reduction.
| Original language | English |
|---|---|
| Title of host publication | SIGHCI 2024 Proceedings |
| Number of pages | 6 |
| Place of Publication | Atlanta, GA |
| Publisher | Association for Information Systems. AIS Electronic Library (AISeL) |
| Publication date | 2025 |
| Article number | 20 |
| Publication status | Published - 2025 |
| Event | The 23rd Annual Pre-ICIS Workshop on HCI Research in MIS - Bangkok, Thailand Duration: 15 Dec 2024 → 15 Dec 2024 Conference number: 23 https://sighci.org/conferences/2024-pre-icis-workshop/ |
Conference
| Conference | The 23rd Annual Pre-ICIS Workshop on HCI Research in MIS |
|---|---|
| Number | 23 |
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 15/12/2024 → 15/12/2024 |
| Internet address |
Keywords
- Design science
- User burden