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How Different, or Different How? Stance Granularity in Viewpoint Selection for Dialog Systems that Engage Users with Alternative Views

Morita Tarvirdians, Reeve Lorena, Catharine Oertel · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.31459 · cited by 0 works (OpenAlex) · open-access PDF

Chinese

目标是帮助用户参与与其自己的观点以外的观点的系统必须决定这些观点应该有多不同。观点主要呈现在尺度上,太粗糙,以便区分与用户不同意见的观点。我们引入了一个选择策略,其中盗窃者决定观点可以从用户那里坐多远(N=63),并且该政策选择了该界限内最新的观点。我们只改变其立场编码器,比较一个尺度分数与前瞻性观点 Vectors,这些观点将一个立场分割为关于概念的单独立场。我们将其整合到对话系统内,并在主题研究之间运行(N=63)。概念层次的立场产生了更为多样化的曝光序列和对主题位置的更广泛覆盖,但不会改变用户如何深入辩论观点或如何准确

Machine translation (Meta M2M100); the English original follows.

Abstract

Systems that aim to help a user engage with viewpoints other than their own have to decide how different those viewpoints should be. Viewpoints are mainly represented on a scalar scale, too coarse to distinguish viewpoints that disagree with the user about different things. We introduce a selection policy in which a bandit sets how far viewpoints may sit from the user, and the policy selects the most novel viewpoint within that bound. We vary only its stance encoder, comparing a scalar score with Perspectivized Stance Vectors, which break a position into separate stances on concepts. We integrate it inside a dialog system and run a between-subjects study (N=63). Concept-level stance produces more varied exposure sequences and broader coverage of the topic's positions, but does not change how deeply users justify viewpoints or how accurately they reconstruct them. Finally, we analyze user--viewpoint relations at the concept level, showing that users reconstruct a viewpoint least accurately on concepts that one side took no position on, rather than on concepts where the two disagreed. Our findings open up opportunities for dialog systems that support engagement with alternative viewpoints by acting on which concepts a user and a viewpoint disagree on, rather than on distance alone.

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Topics: Viewpoints, Dialog box, Computer science, Selection (genetic algorithm), Human–computer interaction, Granularity

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