Exploring Links between Conversational Agent Design Challenges and Interdisciplinary Collaboration
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
Recent years have seen a steady rise in the popularity and use of Conversational Agents (CA) for different applications, well before the more immediate impact of large language models. This rise has been accompanied by an extensive exploration and documentation of the challenges of designing and creating conversational agents. Focusing on a recent scoping review of the socio-technical challenges of CA creation, this opinion paper calls for an examination of the extent to which interdisciplinary collaboration (IDC) challenges might contribute towards socio-technical CA design challenges. The paper proposes a taxonomy of CA design challenges using IDC as a lens, and proposes practical strategies to overcome them which complement existing design principles. The paper invites future work to empirically verify suggested conceptual links and apply the proposed strategies within the space of CA design to evaluate their effectiveness.
Key facts. No citing papers in the map yet (data through 13 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 5 of its 97 references that are in the map. First posted on arXiv 15 Nov 2023.
Builds on
5 of 97 references.
References · 5
- 2020How do Data Science Workers Collaborate? Roles, Workflows, and Toolscited by 64
- 2022Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systemscited by 59
- 2023Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebookcited by 22
- 2018A Conversational Interface to Improve Medication Adherence: Towards AI Support in Patient's Treatmentcited by 5
- 2022A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaborationcited by 1
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- 2025A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions
- 2023Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems
- 2024COMMA: A Communicative Multimodal Multi-Agent Benchmark
- 2026ProACT: Towards Breakdown-Aware Proactive Agent in Multi-User Collaboration
- 2024Conversational Agents as Catalysts for Critical Thinking: Challenging Design Fixation in Group Design