This research proposes a new multi-dimension trust model and develops a typology of antecedents to trust in the context of high domain complexity. Using open-ended questions, we explore what users think would create, promote or manage trust. We argue that trust affects individuals’ intention to use tax preparation software and electronic tax filing. This is an interesting research setting becau...

This paper presents an approach to rapid development of virtual planning experts that can collaborate to develop plans of action requiring expertise from multiple domains. The approach is implemented into a new type of software tool, called Disciple-VPT, which includes an extensible library of virtual planning experts from different domains. Teams of such virtual experts can be rapidly assemble...

Teaching cognitive subject matter via distance learning often suffers from different aspects, such as providing passive content or missing motivational elements. Therefore, this paper deals with the extension of an online course on theoretical topics by game-based elements and proposes a distance learning method called “Quiz World Cup”. After highlighting problematic aspects of teaching cogniti...

This study reports on the content validation of the Community College Student Success Inventory (CCSSI) for Men of Color. The CCSSI was designed to be used by community colleges to assess their effectiveness in addressing success outcomes for men who have been historically underrepresented and underserved in education, particularly men of color. A panel of subject matter experts (SMEs) rated th...

This paper presents a mixed-initiative approach to rule refinement in which a subject matter expert collaborates with a learning agent to refine the agent’s knowledge base. This approach is implemented in the Disciple learning agent shell and has been evaluated in several agent training experiments performed by subject matter experts at the US Army War College.

Developing adaptive, rich-media, eLearning courses tends to be a complex, highly-expensive and time-consuming task. A typical adaptive eLearning course will involve a multi-skilled development team of technologists, instructional developers, subject matter experts and integrators. Even where the adaptive course attempts to reuse existing digital resources, considerable effort is still required ...

The development of an online corporate training program is a challenge from many standpoints. When the training program involves specialized content and the need for the trainees to meet an international professional standard, the challenges multiply. This case study discusses the development of an online program for international aviation personnel who must meet a newly mandated English langua...

When an information extraction system is applied to a new task or domain, we must specify the classes of entities and relations to be extracted. This is best done by a subject matter expert, who may have little training in NLP. To meet this need, we have developed a toolset which is able to analyze a corpus and aid the user in building the specifications of the entity and relation types.

Building and using agent-based models is often impractical, in part due to the cost of including expensive subject matter experts (SMEs) in the development process. In this paper, we describe a method for “bootstrapping” model building to lower the cost of overall model development. The models we are interested in here capture dynamic phenomena related to international and subnational conflict....

We present an argument for ongoing and deep participation by subject matter experts (SMEs, i.e. teachers and domain experts) in advanced learning environment (LE) development, and thus for the need for highly usable authoring tools. We also argue for the "user participatory design" of involving SMEs in creating the authoring tools themselves. We describe our experience building authoring tools ...