Limited design knowledge and artifact-based support exists that guides chatbot engineers to design social chatbots. This leads to two major challenges: the development of social chatbots can be i) ineffective (i.e., social cue design triggers undesired user reactions) and ii) inefficient (i.e., high development costs to evaluate and revise social cue designs). To address both challenges, this project follows the design science research paradigm and investigates design principles that should guide the effective and efficient development of social chatbots.
- Feine, J., Morana, S., and Maedche, A. (2019). “Leveraging Machine-Executable Descriptive Knowledge in Design Science Research ‐ The Case of Designing Socially-Adaptive Chatbots”. In: Extending the Boundaries of Design Science Theory and Practice. Ed. by B. Tulu, S. Djamasbi, G. Leroy. Cham: Springer International Publishing, pp. 76–91. [ResearchGate Link] [Publisher Link]