Peter Pirolli
2024
Principles for AI-Assisted Social Influence and Their Application to Social Mediation
Ian Perera
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Alex Memory
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Vera A. Kazakova
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Bonnie J. Dorr
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Brodie Mather
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Ritwik Bose
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Arash Mahyari
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Corey Lofdahl
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Mack S. Blackburn
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Archna Bhatia
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Brandon Patterson
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Peter Pirolli
Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024)
Successful social influence, whether at individual or community levels, requires expertise and care in several dimensions of communication: understanding of emotions, beliefs, and values; transparency; and context-aware behavior shaping. Based on our experience in identifying mediation needs in social media and engaging with moderators and users, we developed a set of principles that we believe social influence systems should adhere to to ensure ethical operation, effectiveness, widespread adoption, and trust by users on both sides of the engagement of influence. We demonstrate these principles in D-ESC: Dialogue Assistant for Engaging in Social-Cybermediation, in the context of AI-assisted social media mediation, a newer paradigm of automatic moderation that responds to unique and changing communities while engendering and maintaining trust in users, moderators, and platform-holders. Through this case study, we identify opportunities for our principles to guide future systems towards greater opportunities for positive social change.
2021
Towards the Development of Speech-Based Measures of Stress Response in Individuals
Archna Bhatia
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Toshiya Miyatsu
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Peter Pirolli
Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access
Psychological and physiological stress in the environment can induce a different stress response in different individuals. Given the causal relationship between stress, mental health, and psychopathologies, as well as its impact on individuals’ executive functioning and performance, identifying the extent of stress response in individuals can be useful for providing targeted support to those who are in need. In this paper, we identify and validate features in speech that can be used as indicators of stress response in individuals to develop speech-based measures of stress response. We evaluate effectiveness of two types of tasks used for collecting speech samples in developing stress response measures, namely Read Speech Task and Open-Ended Question Task. Participants completed these tasks, along with the verbal fluency task (an established measure of executive functioning) before and after clinically validated stress induction to see if the changes in the speech-based features are associated with the stress-induced decline in executive functioning. Further, we supplement our analyses with an extensive, external assessment of the individuals’ stress tolerance in the real life to validate the usefulness of the speech-based measures in predicting meaningful outcomes outside of the experimental setting.
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Co-authors
- Archna Bhatia 2
- Ian Perera 1
- Alex Memory 1
- Vera A. Kazakova 1
- Bonnie Dorr 1
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