Investigating Conversational Dynamics: Interactive Alignment, Interpersonal Synergy, and Collective Task Performance
Исследование динамики диалога: интерактивное выравнивание, межличностная синергия и эффективность коллективного выполнения задач
2015-05-19
SCID: 54.1/nx4wfm8m
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collective task performanceinteractive alignmentinterpersonal synergyprosodic and speech/pause patternstask-oriented conversations
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Abstract (AI)
This study investigates interpersonal processes underlying dialog by comparing two approaches, interactive alignment and interpersonal synergy, and assesses how they predict collective performance in a joint task. While the interactive alignment approach highlights imitative patterns between interlocutors, the synergy approach points to structural organization at the level of the interaction-such as complementary patterns straddling speech turns and interlocutors. We develop a general, quantitative method to assess lexical, prosodic, and speech/pause patterns related to the two approaches and their impact on collective performance in a corpus of task-oriented conversations. The results show statistical presence of patterns relevant for both approaches. However, synergetic aspects of dialog provide the best statistical predictors of collective performance and adding aspects of the alignment approach does not improve the model. This suggests that structural organization at the level of the interaction plays a crucial role in task-oriented conversations, possibly constraining and integrating processes related to alignment.
Key Findings
1
Adding interactive-alignment measures does not improve performance prediction beyond synergetic measures.
2
Interaction-level structural organization may constrain and integrate interlocutors’ alignment processes during task-oriented dialogue.
3
Patterns consistent with both interactive alignment and interpersonal synergy are statistically present in the conversation corpus.
4
Synergetic interaction patterns are the strongest statistical predictors of collective task performance.
5
The study introduces a quantitative method for measuring lexical, prosodic, and speech/pause patterns associated with alignment and synergy in task-oriented conversations.
Research Object
task-oriented conversations between interlocutors performing a joint task
Research Subject
the roles and predictive relationships of interactive alignment and interpersonal synergy—particularly lexical, prosodic, speech/pause, and cross-turn structural patterns—in collective task performance
Publication Details
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2015-05-19
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