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EVALUATION OF CONVERSATION AGENTS IN HUMAN-COMPUTER INTERACTION (ALICE VERSES ELIZA) Author PARARAJASINGHAM UMAAMAKESWARAN (Student ID: 21097438) Dissertation under the direction of Dr. John Moore
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How to Fill Out Evaluation of Conversation Agents:

01
Start by assessing the language capabilities of the conversation agent. Evaluate its ability to understand and respond to different types of queries or commands. Consider factors such as accuracy, relevance, and clarity of responses.
02
Evaluate the agent's conversational skills. Determine if it can engage in natural conversations, maintain context, and provide personalized responses. Look for signs of empathy and sensitivity in its interactions.
03
Assess the agent's knowledge and understanding of the domain it operates in. Evaluate how well it can provide accurate and relevant information related to the subject matter. Consider the comprehensiveness and correctness of its responses.
04
Evaluate the agent's ability to handle complex queries or scenarios. Test its performance in challenging situations where it needs to handle ambiguity, multi-turn conversations, or conflicting user requests.
05
Assess the agent's response generation capabilities. Look for qualities such as fluency, coherence, and appropriateness in its generated responses. Determine if it can produce answers that are grammatically correct and contextually suitable.
06
Evaluate the agent's ability to handle user intents and queries that go beyond its pre-defined knowledge base. Assess its capability to handle unknown or out-of-domain queries and provide appropriate responses or fallback mechanisms.
07
Test the agent's performance in handling different languages or accents, if applicable. Determine if it can effectively communicate and understand users from diverse linguistic backgrounds.

Who Needs Evaluation of Conversation Agents:

01
Companies or organizations developing or implementing conversation agents as customer support tools or virtual assistants need evaluation to ensure their agents meet the desired performance standards.
02
Users and consumers who rely on conversation agents for various tasks or information seeking might benefit from evaluation to understand the strengths and limitations of the agent they are interacting with.
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Evaluation of conversation agents involves assessing their performance, effectiveness, and impact on users.
The developers or operators of conversation agents are required to file their evaluation.
Evaluation of conversation agents can be filled out by collecting relevant data, analyzing user feedback, and measuring key performance indicators.
The purpose of evaluation of conversation agents is to ensure they are meeting user needs, improving over time, and complying with regulations.
Information such as user engagement metrics, error rates, feedback from users, and any updates or changes made to the agents must be reported.
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