Designing Inclusive Generative Artificial Intelligence-Based Conversational Agents with and for Intellectually Disabled Individuals

Title data

Dilger, Philipp ; Fetzer, Dominik ; Zeller-Lanzl, Julia:
Designing Inclusive Generative Artificial Intelligence-Based Conversational Agents with and for Intellectually Disabled Individuals.
In: Proceedings of the 46th International Conference on Information Systems (ICIS). - Nashville, USA , 2025

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Abstract in another language

Generative AI-based conversational agents (CA) have become increasingly widespread due to their broad, domain-independent capabilities, helping many individuals complete tasks more efficiently. However, without inclusive designs, individuals with intellectual and developmental disabilities (IDD) are often unable to benefit equally from these systems, reinforcing digital marginalization. To address this, we apply the echeloned design science research approach and synthesize insights from a structured literature review, 19 interviews, and three focus groups with individuals with IDD. This results in five design requirements and 12 design principles for inclusive GenAI-based CA design. Thus, we contribute to inclusive IS design research by advancing the emerging body of knowledge on inclusive design for agentic systems, specifically for individuals with IDD. Practically, our findings provide guidance for CA developers and providers, supporting the creation of systems that foster independent and effective user engagement.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	Conversational Agents; Individuals with Intellectual and Developmental Disabilities; Inclusive Design; Generative Artificial Intelligence; Echeloned Design Science Research
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	21 Oct 2025 05:52
Last Modified:	21 Oct 2025 06:31
URI:	https://eref.uni-bayreuth.de/id/eprint/94949