Duration: | One Semester |
Lab: | HCI/IC/EPFL |
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 |
Abstract: |
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:
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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. |