Chatbots and the new world of HCI
By Asbjørn Følstad, Petter Bae Brandtzæg. Interactions, 2017
474 citations recorded by the source corpus.
A potential revolution is happening in front of our eyes. For decades, researchers and practitioners in human-computer interaction (HCI) have been improving their skills in designing for graphical user interfaces. Now things may take an unexpected turn—toward natural-language user interfaces, in which interaction with digital systems happens not through scrolling, swiping, or button clicks, but rather through strings of text in natural language. This is particularly visible in recent developments in chatbots, that is, machine agents serving as natural-language user interfaces to data and service providers [1], typically in the context of messaging applications. Need a reminder to pick up some flowers for your husband on the way home? Ask Jarvis the chatbot to remind you. Wonder if you should bring an umbrella to that meeting in Stockholm? Send Poncho the artificial weather cat a message and ask. If technology giants like Google, Facebook, and Microsoft are right, we will be moving our digital interaction from websites and apps with graphical user interfaces to messaging platforms such as Messenger and Allo. If this happens, huge challenges and opportunities await in the field of HCI.
Subfields: Artificial Intelligence, Communication, Computer Science Applications
View Paper: https://www.semanticscholar.org/paper/39b8e836e51bc253456fdb61c21296a38aa65c20
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Asbjørn Følstad
- Cato Alexander Bjørkli
- Cecilie Bertinussen Nordheim
- Petter Bae Brandtzæg
- Tobias Kowatsch
- Shafiq R. Joty
- Rifat A. Atun
- Ana Paula Chaves
In Communication
In Computer Science Applications
Citations in the corpus
- Chatbots (2018, background): “We have previously outlined the potential implications and opportunities that chatbots hold for the field of HCI [1].”
- A survey of multi-agent deep reinforcement learning with communication (2022, unknown): “In those large-scale multi-agent systems [117, 118], agents may belong to different groups, where their relationships can be complicated.”
- Conversational Agents in Health Care: Scoping Review and Conceptual Analysis (2020, background): “Finally, we excluded articles with poorly reported data on chatbot assessments; therefore, we may have missed some health care conversational agents (Multimedia Appendix 5 [36,97, 104-188 104-188 ]).”
- Will ChatGPT get you caught? Rethinking of Plagiarism Detection (2023, background): “Chatbots, in response to human inquiries, provide an immediate answer using natural language as if it were the human partner in a dialogue [7].”
- What Makes Users Trust a Chatbot for Customer Service? An Exploratory Interview Study (2018, background): “Chatbots are software agents that interact with users through natural language conversation [8].”