Social talk: making conversation with people and machine

[nickumia]

Social or interactive talk differs from task-based or instrumental interactions in many ways. Quantitative knowledge of these differences will aid the design of convincing human-machine interfaces for applications requiring machines to take on roles including social companions, healthcare providers, or tutors. We briefly review accounts of social talk from the literature. We outline a three part data collection of human-human, human-woz and human-machine dialogs incorporating light social talk and a guessing game. We finally describe our ongoing experiments on the corpus collected.

https://dl.acm.org/doi/10.1145/3139491.3139494 (2017)

Follow on papers:

• Mental Workload and Language Production in Non-Native Speaker IPA Interaction (2020
• What Makes a Good Conversation?: Challenges in Designing Truly Conversational Agents (2019)

Peer Research:

• Communicative Behavior and Physiology in Social Interactions (2015)
• Toward Designing for Social Connectedness in Cardiovascular Disease Self-Care (2023)
• Call to interact: communicating interactivity and affordances for contactless gesture controlled public displays (2020)
• Investigating Mobile Mental Health App Designs to Foster Engagement Among Adolescents (2023)
• Not Facial Expression, nor Fingerprint – Acknowledging Complexity and Context in Emotion Research for Human-Centered Personalization and Adaptation (2023)

Old Papers:

• Creating human-machine synergy in negotiation support systems: towards the pocket negotiator (2008)
• A Model to Incorporate Emotional Sensitivity into Human Computer Interactions (2014)