|Goals:||Identify the main drivers of people’s engagement with open-domain chatbots and explore various aspects of current interaction experience with them based on user reviews from Google Play market and Apple app store.|
|Assistant:||Ekaterina Svikhnushina (ekaterina DOT svikhnushina AT epfl DOT ch)|
|Student Name:||Alexandru Placinta (Taken)|
|Keywords:||Qualitative research; social chatbots; motivations; remote experience evaluation|
Due to recent advances in neural network-based language generation the area of open-domain chatbot development has become increasingly active. To ensure compelling user experience the design of conversational agents should meet eventual user goals and expectations. A number of studies in HCI community explored user motivations, needs, and perceptions of chatbots through a variety of methods, including surveying (Brandtzaeg, 2017), interviewing (Jain, 2018; Clark, 2019), diary studies (Muresan, 2019), and review analysis (Purington, 2017). However, previous works were either focusing on chatbots in general (also including task-oriented ones) or conducting a case study of a single specific agent. The aim of this project is to identify core user motivations and significant interaction experience aspects with open-domain chatbots based on elaborate analysis of reviews and ratings that users provided for a range of trending conversational apps on popular software distribution platforms.
The student is expected to:
|Related Skills:||Knowledge in Data Mining and/or Machine Learning; strong analytical skills; familiarity with natural language processing; statistical analysis basis|
|Suitable for:||Master student. Interested student should contact Ekaterina Svikhnushina (ekaterina DOT svikhnushina AT epfl DOT ch) and Pearl Pu (pearl DOT pu AT epfl DOT ch) along with a copy of your CV.|