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

Luciano Gamberini, Anna Spagnolli, Benjamin Blankertz, Samuel Kaski, Jonathan Freeman, Laura Acqualagna, Oswald Barral, Maura Bellio, Luca Chech, Manuel Eugster, Eva Ferrari, Paolo Negri, Valeria Orso, Patrik Pluchino, Filippo Minelle, Baris Serim, Markus Wenzel, Giulio Jacucci*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

4 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationSymbiotic Interaction. Symbiotic 2015
EditorsB. Blankertz, G. Jacucci, L. Gamberini, A. Spagnolli, J. Freeman
Number of pages13
ISBN (Electronic)978-3-319-24917-9
Publication statusPublished - 2015
MoE publication typeA4 Article in a conference publication
EventInternational Workshop on Symbiotic Interaction - Berlin, Germany
Duration: 7 Oct 20158 Oct 2015
Conference number: 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


WorkshopInternational Workshop on Symbiotic Interaction
Abbreviated titleSymbiotic


  • BCI
  • Implicit measures
  • Information seeking
  • Symbiotic system
  • User experience

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