Enhancing Deliberativeness: Evaluating the Impact of Multimodal Reflection Nudges
ShunYi Yeo, Zhuoqun Jiang, Anthony Tang, Simon Tangi Perrault
TL;DR
This work investigates how multimodal reflective nudges influence deliberation quality on online platforms. It tests two nudge types—direct persona and indirect storytelling—across four modalities (text, image, video, audio) using AI-generated content, via two studies (n=20 and n=200). Findings show that subjective modality preferences depend on the nudge type (text for persona; video for storytelling), while objective deliberativeness improves with modality alignment, particularly with video for storytelling and persona contexts. The results advocate multimodal, AI-supported reflection to enhance inclusivity and depth in online deliberation, while highlighting ethical considerations and the need for context-aware design.
Abstract
Nudging participants with text-based reflective nudges enhances deliberation quality on online deliberation platforms. The effectiveness of multimodal reflective nudges, however, remains largely unexplored. Given the multi-sensory nature of human perception, incorporating diverse modalities into self-reflection mechanisms has the potential to better support various reflective styles. This paper explores how presenting reflective nudges of different types (direct: persona and indirect: storytelling) in different modalities (text, image, video and audio) affects deliberation quality. We conducted two user studies with 20 and 200 participants respectively. The first study identifies the preferred modality for each type of reflective nudges, revealing that text is most preferred for persona and video is most preferred for storytelling. The second study assesses the impact of these modalities on deliberation quality. Our findings reveal distinct effects associated with each modality, providing valuable insights for developing more inclusive and effective online deliberation platforms.
