Enhancing Deliberativeness: Evaluating the Impact of Multimodal Reflection Nudges

Yeo, S., Jiang, Z., Tang, A., and Perrault, S. (2025). Enhancing Deliberativeness: Evaluating the Impact of Multimodal Reflection Nudges. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 515.

Acceptance: 27.0% - 1198/4444.

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.

Materials

URL (https://doi.org/10.1145/3706598.3714189)
DOI (10.1145/3706598.3714189)

Keywords

deliberation, deliberativeness, deliberative quality, internal reflection, online deliberation, public discussions, nudges, indirect reflector, direct reflector, reflection, self-reflection, multimedia, multi-modality, large language model, civic engagement

BibTeX

@inproceedings{yeo2025deliberativeness,
  acceptance = {27.0% - 1198/4444},
  type = {conference},
  series = {CHI '25},
  keywords = {deliberation, deliberativeness, deliberative quality, internal reflection, online deliberation, public discussions, nudges, indirect reflector, direct reflector, reflection, self-reflection, multimedia, multi-modality, large language model, civic engagement},
  numpages = {26},
  articleno = {515},
  booktitle = {Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems},
  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.},
  doi = {10.1145/3706598.3714189},
  url = {https://doi.org/10.1145/3706598.3714189},
  address = {New York, NY, USA},
  publisher = {Association for Computing Machinery},
  isbn = {9798400713941},
  year = {2025},
  title = {Enhancing Deliberativeness: Evaluating the Impact of Multimodal Reflection Nudges},
  author = {Yeo, ShunYi and Jiang, Zhuoqun and Tang, Anthony and Perrault, Simon Tangi},
}