Developing a Symbiotic System for Scientific Information Seeking: The MindSee Project

• Published in: Symbiotic Interaction Vol. 9359; pp. 68 - 80
• Main Authors: Gamberini, Luciano, Spagnolli, Anna, Blankertz, Benjamin, Kaski, Samuel, Freeman, Jonathan, Acqualagna, Laura, Barral, Oswald, Bellio, Maura, Chech, Luca, Eugster, Manuel, Ferrari, Eva, Negri, Paolo, Orso, Valeria, Pluchino, Patrik, Minelle, Filippo, Serim, Bariş, Wenzel, Markus, Jacucci, Giulio
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2015; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: BCI; Data mining; Implicit measures; Information retrieval; Information seeking; Symbiotic system; User experience
• DOI: 10.1007/978-3-319-24917-9_7
• ISBN: 9783319249162; 3319249169
• ISSN: 0302-9743

This paper describes an approach for improving the current systems supporting the exploration and research of scientific literature, which generally adopt a query-based information-seeking paradigm. Our approach is to use a symbiotic system paradigm, exploiting central and peripheral physiological data along with eye-tracking data to adapt to users’ ongoing subjective relevance and satisfaction with search results. The system described, along with the interdisciplinary theoretical work underpinning it, could serve as a stepping stone for the development and diffusion of next-generation symbiotic systems, enabling a productive interdependence between humans and machines. After introducing the concept and evidence informing the development of symbiotic systems over a wide range of application domains, we describe the rationale of the MindSee project, emphasizing its BCI component and pinpointing the criteria around which users’ evaluations can gravitate. We conclude by summarizing the main contribution that MindSee is expected to make.