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Register a new userEffective Social Chatbot Strategies for Increasing User Initiative
استراتيجيات Chatbot الاجتماعية الفعالة لزيادة مبادرة المستخدم
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لا تدعم العديد من Chatbots الموجودة بشكل فعال المبادرة المختلطة، مما أجبر مستخدميهم على الاستجابة بشكل سلبي أو يؤدي باستمرار. نسعى لتحسين هذه التجربة من خلال تقديم آليات جديدة لتشجيع مبادرة المستخدم في محادثات Chatbot الاجتماعية. نظرا لأن مبادرة المستخدم في هذا الإعداد متميزة عن المبادرة في الحوار البشري البشري أو موجه نحو المهام، فإننا نقترح أولا تعريف جديد يمثل المستخدمين من فريدة من الفريدين للمستخدمين في هذا السياق. بالتقييم من اللغويات، نقترح ثلاث آليات لتعزيز مبادرة المستخدم: التوجيه الخلفي، والإفصاح الشخصي، واستبدال الأسئلة ببيانات. نظهر أن المقاييس التلقائية البسيطة لطول الكلام وعدد عبارات الأسماء وتنوع ردود المستخدم يرتبط بالحكم البشري للمبادرة. أخيرا، نستخدم هذه المقاييس تشير إلى أن هذه الاستراتيجيات تؤدي إلى زيادات ذات دلالة إحصائية في مبادرة المستخدم، حيث تكرارها، ولكن غير مفرطة، هي الإستراتيجية الأكثر فعالية.
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 conversations. Since user initiative in this setting is distinct from initiative in human-human or task-oriented dialogue, we first propose a new definition that accounts for the unique behaviors users take in this context. Drawing from linguistics, we propose three mechanisms to promote user initiative: back-channeling, personal disclosure, and replacing questions with statements. We show that simple automatic metrics of utterance length, number of noun phrases, and diversity of user responses correlate with human judgement of initiative. Finally, we use these metrics to suggest that these strategies do result in statistically significant increases in user initiative, where frequent, but not excessive, back-channeling is the most effective strategy.
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