Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields
This work provides conceptual clarification for researchers in human-computer interaction and AI, but it is incremental as it builds on existing CIL frameworks without introducing novel methods or applications.
The paper clarifies key terms like information, knowledge, and experience within collaborative interactive learning (CIL) and differentiates CIL from related fields such as active learning and collaborative learning, without presenting new experimental results or numerical findings.
The field of collaborative interactive learning (CIL) aims at developing and investigating the technological foundations for a new generation of smart systems that support humans in their everyday life. While the concept of CIL has already been carved out in detail (including the fields of dedicated CIL and opportunistic CIL) and many research objectives have been stated, there is still the need to clarify some terms such as information, knowledge, and experience in the context of CIL and to differentiate CIL from recent and ongoing research in related fields such as active learning, collaborative learning, and others. Both aspects are addressed in this paper.