Challenge: Existing corpora only include information related to objective outcomes or a single aspect of psychology.
Approach: They investigated social-psychological negotiation-outcome prediction task from negotiation dialogue data.
Outcome: The proposed task is useful because negotiation data only include objective outcomes or a single aspect of psychology.

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Modeling Collaborative Multimodal Behavior in Group Dialogues: The MULTISIMO Corpus (L18-1)

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Challenge: a corpus of human-computer interactions recorded in multiple modalities is being developed to study and model collaborative aspects of multimodal behavior in groups.
Approach: They propose to use a multimodal corpus to investigate collaborative aspects of multimodal behavior in groups that perform simple tasks.
Outcome: The proposed corpus is designed for public release and includes survey materials, personality tests and experience assessment questionnaires filled in by all participants.
Construction and Analysis of a Multimodal Chat-talk Corpus for Dialog Systems Considering Interpersonal Closeness (2020.lrec-1)

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Challenge: a large-scale multimodal dialog corpus is needed to accelerate research on dialog systems that can handle social signals and verbal information.
Approach: They construct a multimodal dialog corpus focusing on the relationship between speakers and 19 pairs of participants.
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Toward the Automatic Detection of Word Meaning Negotiation Indicators in Conversation (2025.findings-emnlp)

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Challenge: Word Meaning Negotiations (WMN) are sequences in conversation where speakers collectively discuss and shape word meaning.
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Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues (2024.findings-emnlp)

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Challenge: Large Language Models (LLMs) are increasingly being utilized as AI negotiation agents . however, prior research on LLMs lacks a systematic evaluation of their diverse capabilities in negotiation.
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Let’s Negotiate! A Survey of Negotiation Dialogue Systems (2024.findings-eacl)

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Challenge: Recent research has focused on negotiation dialogue systems, but no systematic review of this task has been conducted.
Approach: They propose to provide a systematic review of negotiation dialogue systems and to provide an overview of current research.
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Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models (2024.findings-acl)

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Challenge: Effective interlocutors account for the uncertain goals, beliefs, and emotions of others.
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How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models (2024.findings-emnlp)

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Challenge: Psychological evidence reveals the influence of personality traits on decision-making.
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Werewolf Among Us: Multimodal Resources for Modeling Persuasion Behaviors in Social Deduction Games (2023.findings-acl)

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Challenge: Existing studies on persuasive behavior modeling focus on textual dialogues . a multimodal dataset is available for persuasion modeling .
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Language of Bargaining (2023.acl-long)

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Challenge: a new dataset is being developed to study how language shapes bilateral bargaining . a recent study examined the use of language in negotiation education .
Approach: They propose a dataset to study how language shapes bilateral bargaining . they recruit participants via behavioral labs instead of crowdsourcing platforms .
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Social Orientation: A New Feature for Dialogue Analysis (2024.lrec-main)

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Challenge: Existing studies on social orientations in dialogues show they improve performance in low-resource settings.
Approach: They propose to use social orientation tags to model dialogue outcomes . they introduce a new set of dialogue utterances machine-labeled with social orientation tag.
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