Chat UI has contextuality
The use of chat UI enhances the clarity of meaning and allows for tracing back to the same source through the flow of context. This can be seen in Civichat, which serves as a means to make users aware of things they are not cognizant of. By incorporating elements such as "context" and "flow," the effectiveness of chat as a tool for making users aware of unknown information becomes stronger. How to make the meaning clear and trace back to the same source through the flow of context is a hypothesis that explores the potential of exploratory chat UI like Civichat in addressing the proposition of "making users aware of things they do not know." It is possible that through cognition, exploration, and recommendation, the system can reduce disparities in choices. The flow of coaching is similar to this concept, as the coach's questions prompt Metacognition in the user, making it easier for them to recognize their current situation. This suggests that chat-based coaching systems can be developed, with the coach adopting the stance that there is no absolute correct answer and that the answer lies within the users. The coach can then ask questions that promote metacognition in the user (keeping in mind that these questions are not meant to obtain answers). Can this be achieved through chat? Implementing a selection-based approach could simplify the backend processing.
In terms of personal observations on chat-based UI, short text messages in a conversation have the ability to compensate for what may be lacking. This not only strengthens the meaning conveyed to the user but also allows the user to actively engage in reading. Furthermore, the prevalence of long-form content is decreasing, leading to a situation where individuals may be able to read individual words but struggle with reading entire passages. Long-form content simply requires continuous reading, whereas a chat-based UI that presents choices allows users to make selections. This is similar to the concept seen in Netflix's documentary series Black Mirror. TikTok is also creating a concept dictionary, which raises the question of whether written text will eventually disappear. Additionally, apps like DMM's Teller utilize chat-based storytelling, where the context is conveyed through the text.
Considering the potential of chat UI beyond user input, it may also be effective in conveying information to the user. By presenting questions to the user in a selection-based format (e.g., "Which feature are you interested in? 'Pricing plans' or 'What is open data?'"), the user can choose an answer that is then provided in a short sentence. This is just a hypothesis, but it is possible that younger individuals, who are accustomed to consuming high-information content such as YouTube and TikTok, may have a tendency to be able to read individual words but struggle with reading entire passages. The advantage of a chatbot format is that it allows users to actively select the context, making shorter (and therefore more easily understood) sentences sufficient for communication.
There have been previous studies on the use of chat for supporting cognition. One study, titled Information Retrieval Support through Dialogue Focusing on Metacognition and Emotion |, conducted experiments using a bot to support metacognition and increase the number of search results that are relevant to the user's query. The study found that while providing encouragement reduces negative emotions and makes it easier to find relevant results, supporting metacognition through a bot does not improve performance. Another study, titled Proposal for a Clothing Recommendation System Using User-Store Conversations on Web Chat, presents a report on an uninteresting experiment related to clothing recommendations.