Triggering effective social support for online groups
Abstract
Conversational agent technology is an emerging paradigm for creating a social environment in online groups that is conducive to effective teamwork. Prior work has demonstrated advantages in terms of learning gains and satisfaction scores when groups learning together online have been supported by conversational agents that employ Balesian social strategies. This prior work raises two important questions that are addressed in this article. The first question is one of generality. Specifically, are the positive effects of the designed support specific to learning contexts? Or are they in evidence in other collaborative task domains as well? We present a study conducted within a collaborative decision-making task where we see that the positive effects of the Balesian social strategies extend to this new context. The second question is whether it is possible to increase the effectiveness of the Balesian social strategies by increasing the context sensitivity with which the social strategies are triggered. To this end, we present technical work that increases the sensitivity of the triggering. Next, we present a user study that demonstrates an improvement in performance of the support agent with the new, more sensitive triggering policy over the baseline approach from prior work.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2014
- Source ID
- 10.1145/2499672
Entities
People
- Carolyn P. Rose
- Rohit Kumar
Organizations
- Carnegie Mellon University
- Division of Undergraduate Education
- Office of Multidisciplinary Activities
- Office of Naval Research
- RTX