Multimodal Negotiation Corpus with Various Subjective Assessments for Social-Psychological Outcome Prediction from Non-Verbal Cues (2022.lrec-1)
Copied to clipboard
| 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. |
Similar Papers
Modeling Collaborative Multimodal Behavior in Group Dialogues: The MULTISIMO Corpus (L18-1)
Copied to clipboard
| 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)
Copied to clipboard
| 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. |
| Outcome: | The proposed system is based on a multimodal dialog corpus of 19,303 utterances (10 hours) from 19 pairs of participants. |
Toward the Automatic Detection of Word Meaning Negotiation Indicators in Conversation (2025.findings-emnlp)
Copied to clipboard
| Challenge: | Word Meaning Negotiations (WMN) are sequences in conversation where speakers collectively discuss and shape word meaning. |
| Approach: | They propose to detect WMN indicators in conversations where a speaker signals the need to clarify or challenge word meaning. |
| Outcome: | The proposed models have better precision than previous regular expression based approaches and show some generalization abilities, but have moderate recall. |
Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues (2024.findings-emnlp)
Copied to clipboard
| 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. |
| Approach: | They propose to analyze the multifaceted capabilities of Large Language Models (LLMs) across diverse dialogue scenarios throughout the stages of a typical negotiation interaction. |
| Outcome: | The proposed model outperforms GPT-4 in many negotiation tasks while identifying specific challenges, such as making subjective assessments and generating contextually appropriate, strategically advantageous responses. |
Let’s Negotiate! A Survey of Negotiation Dialogue Systems (2024.findings-eacl)
Copied to clipboard
Haolan Zhan, Yufei Wang, Zhuang Li, Tao Feng, Yuncheng Hua, Suraj Sharma, Lizhen Qu, Zhaleh Semnani Azad, Ingrid Zukerman, Reza Haf
| 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. |
| Outcome: | The proposed systems are based on the literature and are compared against existing systems. |
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models (2024.findings-acl)
Copied to clipboard
| Challenge: | Effective interlocutors account for the uncertain goals, beliefs, and emotions of others. |
| Approach: | They propose to calibrate language models to better represent outcome uncertainty . they propose to use two methods to calibrated small open-source models . |
| Outcome: | The proposed fine-tuning strategies can calibrate smaller open-source models to beat pre-trained models 10x their size. |
How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models (2024.findings-emnlp)
Copied to clipboard
| Challenge: | Psychological evidence reveals the influence of personality traits on decision-making. |
| Approach: | They propose a simulation framework centered on large language model agents with synthesized personality traits and propose empirical insights into the strategic impacts of Big Five personality traits on outcomes of bilateral negotiations. |
| Outcome: | The proposed model can reproduce behavioral patterns observed in human negotiations. |
Werewolf Among Us: Multimodal Resources for Modeling Persuasion Behaviors in Social Deduction Games (2023.findings-acl)
Copied to clipboard
Bolin Lai, Hongxin Zhang, Miao Liu, Aryan Pariani, Fiona Ryan, Wenqi Jia, Shirley Anugrah Hayati, James Rehg, Diyi Yang
| Challenge: | Existing studies on persuasive behavior modeling focus on textual dialogues . a multimodal dataset is available for persuasion modeling . |
| Approach: | They propose a multimodal dataset for modeling persuasive behaviors using visual signals. |
| Outcome: | The proposed dataset includes 199 dialogue transcriptions and videos captured in a multi-player social deduction game setting and 26,647 utterance level annotations of persuasion strategy and game level annotation of deduction game outcomes. |
Language of Bargaining (2023.acl-long)
Copied to clipboard
| 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 . |
| Outcome: | The proposed dataset is based on an exercise in negotiation education . it shows that when subjects can talk, negotiations finish faster and prices drop . |
Social Orientation: A New Feature for Dialogue Analysis (2024.lrec-main)
Copied to clipboard
| 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. |
| Outcome: | The proposed model improves on English and Chinese language benchmarks and shows that social orientation tags explain the outcomes of social interactions when used in neural models. |