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This study demonstrates that authentic AI clones require multimodal listening behaviors, such as verbal backchannels and head nodding, to significantly enhance perceived attentiveness and co-presence. By integrating real-time prediction models for these interactive cues, the research pushes fidelity beyond simple voice replication toward a more human-like conversational dynamic. This advancement is critical for developing next-generation virtual agents where social presence is as important as response accuracy.
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Does Listening Matter? Backchanneling and Nodding in AI Clone

arXiv2 min read

arXiv:2608.19527v1 Announce Type: cross 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.

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.

Human-Computer Interaction (cs.HC); Computation and Language (cs.CL); Sound (cs.SD)

arXiv:2608.19527 [cs.HC]

(or arXiv:2608.19527v1 [cs.HC] for this version)

https://doi.org/10.48550/arXiv.2608.19527 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 217 words

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