The Science and Technology on Which Chusable is Based

In addition to the intellectual property Parallel Exploration transferred to Chusable AG by the German Research Center for Artificial Intelligence (DFKI), Chusable builds on the knowledge acquired by Anthony Jameson in several decades of basic and application-oriented research and project leadership, especially in the following areas:

Use of Computing Technology to Support Human Choice

There exists a huge amount of knowledge about how people make choices and also on how computing technology can help people to make better choices; but it has been difficult for people who design interactive applications to make use of this knowledge, because it is distributed over so many areas and presented in so many different frameworks. One step toward solving this problem was the following book-length monograph, which offers a compact but comprehensive synthesis:

The product Chusapedia uses the conceptual framework introduced in this book as the basis for its integration of relevant knowledge in an application for use by designers of systems that support some type of choice.

Recommender Systems

The following handbook chapter shows how the Choice Architecture framework introduced in the book gives rise to new insights and application ideas for recommender systems:

  • Human decision making and recommender systems Jameson, A., Willemsen, M., Felfernig, A., de Gemmis, M., Lops, P., Semeraro, G., & Chen, L. (2015). In F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender systems handbook (2nd edition ed.). Berlin: Springer.

The following analysis of systems that make recommendations to groups is the most widely cited publication on this topic to appear during the past 10 years:

  • Recommendation to groups Jameson, A., & Smyth, B. (2007). In P. Brusilovsky, A. Kobsa, & W. Nejdl (Eds.), The adaptive web: Methods and strategies of web personalization (pp. 596-627). Berlin: Springer.

Systems That Adapt to Their Users

Many years of research into user modeling and adaptation underlie the following syntheses:

  • Adaptive interfaces and agents Jameson, A. (2008). In A. Sears & J. A. Jacko (Eds.), The human-computer interaction handbook: Fundamentals, evolving technologies and emerging applications (2nd edition) (pp. 433-458). Boca Raton, FL: CRC Press.
  • Systems that adapt to their users Jameson, A., & Gajos, K. Z. (2012). In J. A. Jacko (Ed.), The human-computer interaction handbook: Fundamentals, evolving technologies and emerging applications (3rd edition). Boca Raton, FL: CRC Press.

Collaboration Between Human and Artificial Intelligence

Artificial intelligence is becoming increasingly powerful and ubiquitous. But how can we deploy AI to augment human thinking and action instead of replacing it?

The challenges that can arise in making intelligent systems fully usable by humans were addressed in the following articles in the AI Magazine special issue on Usable AI:

More generally, Anthony Jameson and John Riedl founded the ACM Transactions on Interactive Intelligent Systems in 2009 to encourage and publish research on the cooperation between human and artificial intelligence.

Other Lines of Research

Other topics researched by Anthony Jameson are relevant to many types of systems for helping people make choices:

  • Semantic technology
  • Context-aware computing
  • Usability of language technology
  • Natural language dialog systems

Complete lists of research projects and publications are also available.