Human-AI-Interaction | Exploring Task Completion with the Support of AI-based Systems
- Date:ab sofort
AI-based user assistance systems such as conversational agents (CAs) increasingly permeate our lives and offer us assistance with a myriad of tasks. By assisting professionals in decision-making or even taking over complete tasks from them, CAs assume an important role in the work context. Similarly, in private life, CAs such as Apple’s Siri or Amazon’s Alexa become personal assistants and make users’ lives easier, for example by providing the latest weather forecast or playing users’ favorite music. Despite promising measurable benefits, people are still reluctant to accept and use them.
Therefore, a deeper understanding of the tasks CAs are used for and the conditions under which people use text-based CAs (e.g., customer service chatbots) or voice-based CAs (e.g., Alexa or Siri) will be important to identify ways to foster their use and inform user-centric CA design.
The thesis aims at pursuing an empirical approach to understand users’ task completion with the support of conversational agents. The tasks for which people use CAs will be investigated and the conditions and factors influencing individuals’ decision to use them shall be identified and analyzed. In particular, the thesis examines users’ choice of interaction modality (voice or text) for task completion as well as the situational factors and user characteristics affecting their decision to use a CA for a certain task. You will apply qualitative research methods, conduct interviews, analyze the gathered data, and develop a framework conceptualizing your results.
- Interest in human-computer interaction and conversational agents
- High motivation to work on interesting real-world problems
- Good English skills as the thesis will be written in English
- Self-organized and goal-oriented working mode, including the motivation to bring own ideas
We offer you a challenging research topic, close supervision, and the opportunity to develop practical and theoretical skills. If you are interested, please send an email to Lara Riefle along with a transcript of records and CV.