【2020 Solutions】 Changing Your Perception of Chatbots: Engaging in Meaningful Conversations
The influence of Artificial Intelligence (AI) on human life is growing daily, whether for businesses, factories, or individuals, everyone is starting to long for a more convenient lifestyle through technology. Whether it's the virtual characters in movies or figments of our imagination, they reflect our desires for a futuristic world; an entity that can instantly respond to all your needs and handle everything meticulously for you. Consequently, Apple brought us 'Siri', Amazon presented 'Alexa', and various tech giants have followed with their intelligent assistants.
Talk to anything you want
According to a Gartner survey, conversational AI's Natural Language Processing (NLP) technology is now among the top three AI technologies. How NLP is applied to enhance consumer experience is a domain actively being studied and progressed by all conversational AI providers. Despite human language being ambiguous and unstructured for machines, with the advent of NLP, we can parse patterns within these large unstructured datasets, enabling better understanding of the embedded messages. NLP also aids in addressing business challenges, especially for frequently asked predictable questions or routine continuous work, which are increasingly being managed by AI-based Chatbots due to advancements in machine learning and computational power. However, for Chatbot developers, finding the right applications is just the first step; designing an engaging experience is crucial for retaining users. Generally, the impression of Chatbots remains stuck on the stereotype of customer service, often appearing clueless or only capable of responding with a few programmed answers, which makes them seem unintelligent and disappointing. Although many factors influencing the user experience design of chatbots warrant further investigation, enhancing consumer experience and altering perceptions require more advanced Natural Language Understanding (NLU) technologies for semantic analysis, sentiment analysis, and advanced conversational applications, making Chatbots smarter and more attuned to human preferences. Asia Pacific Intelligence is one of the few companies in Taiwan focusing on machine intelligence, dedicating themselves to improving human life through proprietary development of NLU technology and specializing in Chatbot applications via the Opentalk platform. Established less than three years ago, it is already the only technological partner in Taiwan for the global top-five industrial AI company 'iFLYTEK'.
Asia Pacific Intelligence constructs 'Multi-Turn Dialogue Querying Capability', enhancing the understanding abilities of Chatbots
Through its internally developed Natural Language Understanding technology, Asia Pacific Intelligence has developed a rapid deployment platform for conversational robots, now equipped with multi-turn dialogue querying capabilities. By integrating a domain knowledge graph, these customer service bots can resolve 70%-80% of issues at the first point of contact. More complex and diverse queries still rely on human customer service. However, the 80% accuracy rate is sufficient for customer service staff to handle more complex customer demands. Additionally, multi-turn dialogue robots can also be applied in factory settings. When customers encounter issues with machinery, they can describe the problem and the machine's condition to the robot; through multi-turn dialogues, the robot can determine the correct problem within a limited scope, effectively pinpoint the issue using the knowledge graph, and notify technical staff for repairs. The machine's preliminary judgment and reporting can generally resolve issues within a day. The underlying data structure of multi-turn dialogue Chatbots relies on interfacing with corporate websites or databases, categorizing data like user preferences, user question and answer data, and user personas. However, apart from requiring a large amount of data, the most crucial aspect is the continuous 'feeding' of domain knowledge to make robots increasingly smarter. Additionally, Bo-Han Wu, the founder of Asia Pacific Intelligence, believes: 'AI learning should be data-driven; thus, dealing with extensive dialogue content cannot be managed with small data. Although various inference technologies are rapidly developing, ultimately, it is still humans who make decisions based on understanding.'
Speaking Out Infinite Possibilities for the Future
Voice technology plays a crucial role in penetrating daily life. For example, Google Assistant announced the launch of its Traditional Chinese version in 2018, actively expanding its voice market in Taiwan. Developers can now upload their voice skills on Action on Google for use by others. Asia Pacific Intelligence (APMIC), leveraging its semantic understanding technology, has listed a voice skill named 'Bus Helper' where users can activate it by saying 'I want to talk to Bus Helper' to their phone or smart speaker. This voice-enabled service can save the hassle of opening an app and typing during the busy morning rush, simply by using voice instead of hands to check bus statuses. The development of voice capabilities requires advanced NLU technology to accurately determine user intent. Major firms like Google, Amazon, and Microsoft are also actively participating in NLU technology research, suggesting that the future of voice skill applications will introduce more eye-catching features, providing more thoughtful and intelligent user experiences, making life more convenient.
「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」