Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Virtual agents are artificial intelligent artifacts that mimic natural conversations with users. The media equation posits that human-agent interaction mirrors the social cues prevalent in human-to-human relationship. As such, personality adaptation-convergence (similarity-attraction) and divergence (complementary-attraction) in human-agent interaction have been explored, particularly in the context of e-commerce, robot and scenario-based simulation. The present work extends prior studies by investigating personality adaptation in learner-agent interaction with respect to a virtual learning system. Pursuant to this goal, an introverted and an extroverted pedagogical agent re developed, as operationalized through vocal and animation parameters, and re then assessed by forty introverted and forty extraverted learners in a 2 (agent personality type) X 2 (learner personality type) experiment. The results of this study provided clear evidences in support of the complementary-attraction principle; emotional and motivational aspects of learning re significantly enhanced when the pedagogical agent exhibited personality (extraversion type) that complemented the learner's own. Theoretical and practical implications are discussed in this paper.
['Tze Wei Liew', 'Su-Mae Tan']
I am writing a research paper on a idea Virtual agents with personality: Adaptation of learner-agent personality in a virtual learning environment
[{"from": "human", "value": "I am writing a research paper on a idea Virtual agents with personality: Adaptation of learner-agent personality in a virtual learning environment"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Virtual agents are artificial intelligent artifacts that mimic natural conversations with users. The media equation posits that human-agent interaction mirrors the social cues prevalent in human-to-human relationship. As such, personality adaptation-convergence (similarity-attraction) and divergence (complementary-attraction) in human-agent interaction have been explored, particularly in the context of e-commerce, robot and scenario-based simulation. The present work extends prior studies by investigating personality adaptation in learner-agent interaction with respect to a virtual learning system. Pursuant to this goal, an introverted and an extroverted pedagogical agent re developed, as operationalized through vocal and animation parameters, and re then assessed by forty introverted and forty extraverted learners in a 2 (agent personality type) X 2 (learner personality type) experiment. The results of this study provided clear evidences in support of the complementary-attraction principle; emotional and motivational aspects of learning re significantly enhanced when the pedagogical agent exhibited personality (extraversion type) that complemented the learner's own. Theoretical and practical implications are discussed in this paper."}]