Table 1 Topics for chatbot research... | Emerald Publishing

Table 1

Topics for chatbot research

Topics	Description
User and implications	The study and knowledge of chatbots' social implications will guide future development and design. How may chatbot uptake and use impact individual users, groups of users, organizations and society?
Chatbot user experience and design	Chatbot user experience and design concerns how users perceive and interact with chatbots and how interaction mechanisms and conversational content can manage these perceptions and responses. Human-computer interaction modeling and evaluation approaches may be useful. How to conduct user-centered evaluations and measurement of user experience?
Chatbot frameworks and platforms	Current and future chatbot frameworks and platforms will depend on advances in natural language understanding. Future research must address context and user understanding for sustained dialog and conversation adaptation
Chatbots for collaboration	Chatbots for collaboration focuses on designing chatbots for human-and-intelligent-agent networks, such as teamwork. In group projects, chatbots are expected. Collaboration with chatbots can be viewed not only as an outcome or predictor, but also as an adaptive behavior that has a substantial role in various contexts and applications
Democratizing chatbots - chatbots for all	Democratizing chatbots involves developing, designing, and deploying them to improve information and service availability. How chatbots can bridge digital divides among users. Chatbots for social good are another design option. Diverse user groups, especially those with limited technical skills, need an inclusive design
Ethics and privacy in chatbots	To identify and address unethical chatbot use, it's important to understand the design's ethical and privacy concerns. Important challenges include research on how to avoid chatbot biases, chatbot discrimination, ethical issues introduced by the black-box approach to machine learning that underpins certain aspects of chatbot functionality, and how to prevent the misuse of chatbot technology (e.g. unintended offensive speech and misinformation spreading)

Topics	Description
User and implications	The study and knowledge of chatbots' social implications will guide future development and design. How may chatbot uptake and use impact individual users, groups of users, organizations and society?
Chatbot user experience and design	Chatbot user experience and design concerns how users perceive and interact with chatbots and how interaction mechanisms and conversational content can manage these perceptions and responses. Human-computer interaction modeling and evaluation approaches may be useful. How to conduct user-centered evaluations and measurement of user experience?
Chatbot frameworks and platforms	Current and future chatbot frameworks and platforms will depend on advances in natural language understanding. Future research must address context and user understanding for sustained dialog and conversation adaptation
Chatbots for collaboration	Chatbots for collaboration focuses on designing chatbots for human-and-intelligent-agent networks, such as teamwork. In group projects, chatbots are expected. Collaboration with chatbots can be viewed not only as an outcome or predictor, but also as an adaptive behavior that has a substantial role in various contexts and applications
Democratizing chatbots - chatbots for all	Democratizing chatbots involves developing, designing, and deploying them to improve information and service availability. How chatbots can bridge digital divides among users. Chatbots for social good are another design option. Diverse user groups, especially those with limited technical skills, need an inclusive design
Ethics and privacy in chatbots	To identify and address unethical chatbot use, it's important to understand the design's ethical and privacy concerns. Important challenges include research on how to avoid chatbot biases, chatbot discrimination, ethical issues introduced by the black-box approach to machine learning that underpins certain aspects of chatbot functionality, and how to prevent the misuse of chatbot technology (e.g. unintended offensive speech and misinformation spreading)