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Enacting Constructive Conflicts with AI Agents to Enhance Reconsideration among Novice Interaction Designers — arXiv:2608.04166

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.04166
License (as archived): CC0-1.0
Archived: 2026-10-31T11:28:24.873Z
SHA-256 of the archived text: 12ecee6daa6b5defb7845c8660bfaab454cee29623a0950c290dbd7b6e23ed70
Stable URL of this page: https://metraipolis.com/documento/dc_ef398dc82096

How to cite

Enacting Constructive Conflicts with AI Agents to Enhance Reconsideration among Novice Interaction Designers — arXiv:2608.04166 — arXiv (en), https://arxiv.org/abs/2608.04166 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ef398dc82096 (Metraipolis archive dc_ef398dc82096, sha256 12ecee6daa6b5defb7845c8660bfaab454cee29623a0950c290dbd7b6e23ed70)

BibTeX

@misc{dcef398dc82096,
  title = {Enacting Constructive Conflicts with AI Agents to Enhance Reconsideration among Novice Interaction Designers — arXiv:2608.04166},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.04166},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ef398dc82096; sha256 12ecee6daa6b5defb7845c8660bfaab454cee29623a0950c290dbd7b6e23ed70},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.04166. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Generative AI agents are increasingly used in interaction design to facilitate ideation and offer critique, often following their own internal reasoning. These interactions tend to add design ideas and expand the design space. Our work explores an antagonistic role for design agents, prompting designers to engage with stakeholder tension. We built an AI agent inspired by adversarial design theory that enacts constructive conflict. We examine the agent's influence in a between-subjects experiment with 45 design students across three conditions: Self Reflection (unsupported review of the design proposal), Stepwise Guidance (written prompts that walk designers through a constructive-conflict framework), and Interactive Engagement (an AI agent that enacts the constructive-conflict framework interactively by synthesizing stakeholder pushback). The latter two conditions share the framework but differ in whether it is self-enacted or agent-enacted. Results show that, compared with Self Reflection, both the Stepwise Guidance and Interactive Engagement groups reported significantly higher self-reconsideration and made more improvements to their design proposals. Compared with Stepwise Guidance, the antagonistic agent introduced more conflictual perspectives, and participants in the Interactive Engagement condition generated and discarded more ideas. These findings suggest that agent-enacted constructive conflict can turn reconsideration into concrete design actions and deepen engagement with divergent stakeholder perspectives.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-08-06 in cs.HC).
Categorie arXiv: Human-Computer Interaction (cs.HC).
Pagina del lavoro: https://arxiv.org/abs/2608.04166 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-31T11:17:34.215Z dalla pagina https://arxiv.org/catchup/cs.HC/2026-08-06?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).