Exploring AI Applications in Web Interaction Mode Design: Chatbot, Accessibility, and Search Engines

DOI

10.2991/978-94-6463-512-6_6How to use a DOI?

Keywords

Artificial intelligence; Chatbot; Web accessibility; Generative search engine

Abstract

The rapid development of the web has made it one of the most important elements of modern daily life. One recent trending approach to implementing the web is using artificial intelligence (AI) technologies. AI tools are becoming more and more reliable, and using them to develop the web has become a practical and efficient scheme. This article delves into several applications of AI in web interaction designs, including chatbots, web accessibility, and generative search engines. Web accessibility is a rather broad topic, and thus this article shall concentrate on three typical techniques, including text-to-speech (TTS), automatic speech recognition (ASR), and automatic image caption. Chatbots represent a noticeable application of AI technologies; chatbots can facilitate interactions between AI and human users across web platforms. Web accessibility technologies empowered by AI algorithms provide different approaches for disabled users to access websites and thereby enable their access to web content. Generative search engines take advantage of AI to improve search results. Despite these advancements, challenges persist in the implementation of AI-driven web interaction designs. Several issues about each of the three technologies are emphasized in this article. Addressing these challenges requires much effort. Possible future directions for addressing these challenges are suggested in this article. By exploring these dimensions and charting future directions, this study aims to provide a basic understanding of AI’s role in shaping the digital landscape and potential approaches to future enhancements.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zikai Song
PY  - 2024
DA  - 2024/09/23
TI  - Exploring AI Applications in Web Interaction Mode Design: Chatbot, Accessibility, and Search Engines
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 43
EP  - 53
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_6
DO  - 10.2991/978-94-6463-512-6_6
ID  - Song2024
ER  -