This essay reports three projects that integrate linguistic features of speaking turns into the identification of conversational motifs, which are multiturn segments of dialog within interpersonal interactions. Study 1 focused on support for bereavement, used Linguistic Inquiry and Word Count data to augment characterizations of speaking turns based on speech act, and identified seven 5-turn conversational motifs. Study 2 examined serial argument conversations, used ratings of features and word count to differentiate speaking turns, and identified four conversational motifs within 1-minute segments of interaction. Study 3 analyzed conversations about public health campaign messages, considered functional and structural features of speaking turns, and identified four 4-turn conversational motifs. By elaborating the library of linguistic elements considered when operationalizing speaking turn types and showcasing alternative strategies for identifying conversation motifs, this essay extends recent advancements in a dynamic dyadic systems perspective on interpersonal communication.
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