ABSTRACT
Background: Human-robot interaction (HRI) is a rapidly evolving field with the potential to revolutionize various aspects of our lives. Speech technology plays a pivotal role in enhancing the quality of interactions between humans and robots. Understanding the impact of speech in HRI is essential as it can significantly influence user experience, which, in turn, affects the acceptance and integration of robots into our daily lives.
Aim: The aim of this multidisciplinary investigation is to delve into the multifaceted role of speech technology in HRI and assess its impact on the overall user experience with robots. By combining insights from fields such as computer science, human-computer interaction, psychology, and linguistics, we seek to provide a comprehensive understanding of how speech technology can be optimized for better human-robot interactions.
Methods: To achieve our aim, we adopt a mixed-methods approach, encompassing both quantitative and qualitative research techniques. We employ user surveys, controlled experiments, natural language processing analysis, and user interviews to gather data. These methods allow us to examine the effectiveness of speech technology in various robot applications and uncover user perceptions and preferences regarding speech interactions.
Results: Our investigation yields critical insights into the role of speech technology in HRI. We find that the quality of speech interactions significantly influences user acceptance and satisfaction with robots. Furthermore, our research highlights the importance of natural language processing capabilities, emotional intelligence, and adaptability in speech-enabled robots to enhance user experience.
Conclusion: The findings of this multidisciplinary investigation underscore the vital role of speech technology in human-robot interaction. Optimal speech technology implementation can lead to more intuitive, engaging, and emotionally satisfying interactions with robots. This research contributes to the ongoing development of HRI by emphasizing the need for speech technology improvement to bridge the gap between humans and robots effectively.
Keywords: Human-robot interaction, speech technology, user experience, multidisciplinary investigation, natural language processing, emotional intelligence, robot applications, user satisfaction, human-robot communication.