المخابرات الاصطناعية Chatbots هي الطليعة في التدخل المستندة إلى التكنولوجيا لتغيير سلوك الناس. لتطوير تدخل Chatbots، فإن الخطوة الأولى هي فهم استراتيجيات محادثة اللغة الطبيعية في المحادثة الإنسانية. يقدم هذا العمل بيانات محادثة تدخل تم جمعها من برنامج تدخل النشاط البدني العالمي الحقيقي للنساء. لقد صممنا خطط شروح شاملة في أربع أبعاد (مجال واستراتيجية والتبادل الاجتماعي والتبادل الذي تركز على المهام) وتم الإعلان عن مجموعة فرعية من الحوار. بنينا مصنف استراتيجية مع معلومات السياق للكشف عن الاستراتيجيات من كل من المدربين والمشاركين بناء على التوضيحية. لفهم كيفية قيام التدخل البشري بتحريض تغييرات سلوك فعالة، قمنا بتحليل العلاقات بين استراتيجيات التدخل وتغييرات المشاركين في الجدار والدعم الاجتماعي للنشاط البدني. لقد قمنا أيضا بتحليل كيفية ارتباط الوزن الأساسي للمشارك بمقدار حدوث الاستراتيجية المقابلة. يضع هذا العمل الأساس لتطوير تدخل النشاط البدني الشخصي Chatbot.
Artificial intelligence chatbots are the vanguard in technology-based intervention to change people's behavior. To develop intervention chatbots, the first step is to understand natural language conversation strategies in human conversation. This work introduces an intervention conversation dataset collected from a real-world physical activity intervention program for women. We designed comprehensive annotation schemes in four dimensions (domain, strategy, social exchange, and task-focused exchange) and annotated a subset of dialogs. We built a strategy classifier with context information to detect strategies from both trainers and participants based on the annotation. To understand how human intervention induces effective behavior changes, we analyzed the relationships between the intervention strategies and the participants' changes in the barrier and social support for physical activity. We also analyzed how participant's baseline weight correlates to the amount of occurrence of the corresponding strategy. This work lays the foundation for developing a personalized physical activity intervention chatbot.
References used
https://aclanthology.org/
Many existing chatbots do not effectively support mixed initiative, forcing their users to either respond passively or lead constantly. We seek to improve this experience by introducing new mechanisms to encourage user initiative in social chatbot co
Most chatbot literature that focuses on improving the fluency and coherence of a chatbot, is dedicated to making chatbots more human-like. However, very little work delves into what really separates humans from chatbots -- humans intrinsically unders
Amidst rising mental health needs in society, virtual agents are increasingly deployed in counselling. In order to give pertinent advice, counsellors must first gain an understanding of the issues at hand by eliciting sharing from the counsellee. It
The survey conducted for the role played by rural women in
various aspect: social, economic and particularly agricultural fields
create a database, which might help for the efficient Management
Human Resources. Which has a crucial impact on the ve
Neural generative dialogue agents have shown an increasing ability to hold short chitchat conversations, when evaluated by crowdworkers in controlled settings. However, their performance in real-life deployment -- talking to intrinsically-motivated u