%Aigaion2 BibTeX export from HES SO Valais Publications
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@ARTICLE{,
    author = {Rudaz, Damien and Broth, Mathias and Mlynar, Jakub},
  keywords = {ethnomethodology, Human-Centered Computing, Praxeology, Turn-taking models, Voice Agents},
     title = {Everything counts: the managed omnirelevance of speech in 'human – voice agent' interaction},
   journal = {ACM Transactions on Computer-Human Interaction},
      year = {2026},
       url = {https://dl.acm.org/doi/10.1145/3820655},
       doi = {10.1145/3820655},
  abstract = {To this day, turn-taking models determining voice agents’ conduct have been examined primarily from a technical point of view, while the ways in which they emerge as interactional constraints or resources for human conversationalists in situ remain underexplored. Drawing on a detailed analysis of corpora of naturalistic data, we document how humans’ conduct was produced in reference to the ever-present risk that, each time they spoke, their talk might trigger a new uncalled-for contribution from the artificial agent. We examine this phenomenon in interactions involving rule-based robots from a ‘pre-LLM era’ as well as the most recent voice agents. This ‘omnirelevance of human speech’ (i.e., the possibility that a conversational agent may erroneously respond to any speech it detects) emerged as a constitutive feature of these human-agent encounters. We describe some of the practices through which humans managed these artificial agents’ turn-taking conduct. Given recent improvements in voice capture technology, we ask whether this ‘omnirelevance of human speech’ weighs even more heavily on human practices today than in the past.}
}