Towards Effective AI-Driven Reading Assistants: A Design Science Exploration

Martin, Hänel; Thiemo, Wambsganss; Matthias, Söllner (June 2024). Towards Effective AI-Driven Reading Assistants: A Design Science Exploration In: ECIS 2024 - Design Research and Design Methods in Information Systems. AIS Electronic Library

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Recent advancements in AI have led to the introduction of tools that support researchers in scientific reading. Tools such as SciSpace have come to the forefront to assist users in reading scientific texts. However, there is an insufficient theoretical foundation on how to design these reading assistants as well as no evidence of their effects, especially given the recent progress. Specifically, past literature lacks insights on evaluated user requirements and design principles for the design of computer-assisted reading systems. Addressing these challenges, we draw on Design Science Research (DSR) to derive and evaluate a set of five design principles for computer-assisted reading systems. Building on flow theory as our theoretical lens, we develop and perform a first proof-of-concept evaluation of a prototypical implementation of our principles as a computer-assisted reading artifact. Our design principles support researchers and practitioners on how to design, evaluate, and compare their AI-reading tools more effectively.

Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	Business School > Institute for Digital Technology Management Business School
Name:	Martin, Hänel; Thiemo, Wambsganss0000-0002-7440-9357 and Matthias, Söllner
Subjects:	T Technology > T Technology (General)
Publisher:	AIS Electronic Library
Language:	English
Submitter:	Prof. Dr. Thiemo Wambsganss
Date Deposited:	14 Aug 2024 09:05
Last Modified:	14 Aug 2024 09:05
Related URLs:	https://aisnet.org/page/ECISPage
ARBOR DOI:	10.24451/arbor.22096
URI:	https://arbor.bfh.ch/id/eprint/22096