Advanced search

Showing result 1 - 5 of 35 essays matching the above criteria.

1. 1. EcoBot : study design and development of a persuasive FSM-free Chatbot for energy saving

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Francesco Milano; [2023]
   Keywords : chatbot; context management; persuasive strategies; domestic energy saving; smart appliances; sustainability.; chatbot; kontexthantering; övertygande strategier; hushållsenergibesparing; smarta apparater; hållbarhet;

   Abstract : This study presents the development and evaluation of a conversational agent, EcoBot, designed to inform users about their energy habits and persuade them to save more energy when at home, to help fight climate change and energy waste. To reach this goal, three persuasion strategies were first identified: Feedback, to give users personalized suggestions based on their habits, Goal Setting, to set and track consumption goals for the user’s domestic appliances, and Social Comparison, to compare the user’s consumption with that of others. READ MORE

3. 2. Contextual short-term memory for LLM-based chatbot

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Mikael Lauri Aleksi Törnwall; [2023]
   Keywords : Chatbot; Artificial Intelligence; Machine Learning; Language Model; Large Language Model; GPT-3; Natural Language Processing; Text Summarization; Dialogue Summarization; Prompt Design; Prompt Programming; Chatbot; Artificiell Intelligens; Maskininlärning; Språkmodell; Stor Språkmodell; GPT-3; Naturlig Ppråkbehandling; Textsammanfattning; Sammanfattning av Dialog; Design för Inmatningsprompt; Inmatningsprompt Programmering;

   Abstract : The evolution of Language Models (LMs) has enabled building chatbot systems that are capable of human-like dialogues without the need for fine-tuning the chatbot for a specific task. LMs are stateless, which means that a LM-based chatbot does not have a recollection of the past conversation unless it is explicitly included in the input prompt. READ MORE

4. 3. A Deep Learning approach to Analysing Multimodal User Feedback during Adaptive Robot-Human Presentations : A comparative study of state-of-the-art Deep Learning architectures against high performing Machine Learning approaches

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Manuel Fraile Rodríguez; [2023]
   Keywords : Human Feedback; Deep Learning; Convolutional Neural Networks; Transformers; Mänsklig återmatning; mänsklig feedback; djupinlärning; CNN; transformer;

   Abstract : When two human beings engage in a conversation, feedback is generally present since it helps in modulating and guiding the conversation for the involved parties. When a robotic agent engages in a conversation with a human, the robot is not capable of understanding the feedback given by the human as other humans would. READ MORE

5. 4. Dialog om landskapet, i landskapet : naturvägledning i fysisk planering

   University essay from SLU/Dept. of Urban and Rural Development

   Author : Vera Fredriksson; [2023]
   Keywords : naturvägledning; deliberativa ideal; utomhuspedagogik; medborgardialog; fysisk planering;

   Abstract : I denna studie undersöks huruvida naturvägledning, som facilitering av dialog om landskap, i landskapet kan användas i dialogprocesser vid fysisk planering. Syftet för uppsatsen att bidra med ökad förståelse och kunskap om hur vi kan ha en deliberativ dialog om en plats av socioekologiskt värde i en meningsfull kontext i planering genom naturvägledning. READ MORE

6. 5. Improving active listening behaviours of embodied conversational agents (ECA) from a UX perspective

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Bharat Narayanan; [2022]
   Keywords : Embodied Conversational Avatar; Virtual Humans; User Experience; Active Listening Behaviour; Characteristics; Expressions.;

   Abstract : Active listening is a communication technique where the listener listens to the speaker carefully and attentively by confirming or asking for more details about what they heard during a conversation. Active listening has proven to be a very useful technique in learning and extracting insightful information from the conversation and poses many challenges when emulating such behaviours in a virtual character. READ MORE