Does Listening Matter? Backchanneling and Nodding in AI Clone
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Computer Science > Human-Computer Interaction
Title:Does Listening Matter? Backchanneling and Nodding in AI Clone
Abstract:AI clones that imitate a specific person typically reproduce what the person says and how they sound, but not how they listen. We investigate whether adding multimodal listening behaviors gives such a clone more presence and authenticity. We integrated verbal backchannels and head nodding, driven by real-time prediction models, into an AI clone equipped with voice cloning and LLM-based responses. In a within-subjects study (N=35), adding these behaviors significantly improved the perceived attentiveness of the avatar, the sense of talking with the real person, and the feeling of co-presence. These results indicate that AI clone fidelity should extend beyond voice and response content to include interactive listening behavior.
| Comments: | This paper has been accepted to the Late-Breaking Results (LBR) track of the 28th International Conference on Multimodal Interaction (ICMI 2026) |
| Subjects: | Human-Computer Interaction (cs.HC); Computation and Language (cs.CL); Sound (cs.SD) |
| Cite as: | arXiv:2608.19527 [cs.HC] |
| (or arXiv:2608.19527v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2608.19527
arXiv-issued DOI via DataCite (pending registration)
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