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

doi:10.1007/978-3-319-24917-9_7

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

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

5 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Symbiotic Interaction. Symbiotic 2015
Editors	B. Blankertz, G. Jacucci, L. Gamberini, A. Spagnolli, J. Freeman
Publisher	Springer
Pages	68-80
Number of pages	13
Volume	9359
ISBN (Electronic)	978-3-319-24917-9
ISBN (Print)	9783319249162
DOIs	https://doi.org/10.1007/978-3-319-24917-9_7
Publication status	Published - 2015
MoE publication type	A4 Conference publication
Event	International Workshop on Symbiotic Interaction - Berlin, Germany Duration: 7 Oct 2015 → 8 Oct 2015 Conference number: 4

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9359
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Workshop

Workshop	International Workshop on Symbiotic Interaction
Abbreviated title	Symbiotic
Country/Territory	Germany
City	Berlin
Period	07/10/2015 → 08/10/2015

Keywords

BCI
Implicit measures
Information seeking
Symbiotic system
User experience

Access to Document

10.1007/978-3-319-24917-9_7

Cite this

Gamberini, L., Spagnolli, A., Blankertz, B., Kaski, S., Freeman, J., Acqualagna, L., Barral, O., Bellio, M., Chech, L., Eugster, M., Ferrari, E., Negri, P., Orso, V., Pluchino, P., Minelle, F., Serim, B., Wenzel, M., & Jacucci, G. (2015). Developing a Symbiotic System for Scientific Information Seeking: The Mindsee Project. In B. Blankertz, G. Jacucci, L. Gamberini, A. Spagnolli, & J. Freeman (Eds.), Symbiotic Interaction. Symbiotic 2015 (Vol. 9359, pp. 68-80). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9359). Springer. https://doi.org/10.1007/978-3-319-24917-9_7

Gamberini, Luciano ; Spagnolli, Anna ; Blankertz, Benjamin et al. / Developing a Symbiotic System for Scientific Information Seeking : The Mindsee Project. Symbiotic Interaction. Symbiotic 2015. editor / B. Blankertz ; G. Jacucci ; L. Gamberini ; A. Spagnolli ; J. Freeman. Vol. 9359 Springer, 2015. pp. 68-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Developing a Symbiotic System for Scientific Information Seeking: The Mindsee Project",

abstract = "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.",

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Gamberini, L, Spagnolli, A, Blankertz, B, Kaski, S, Freeman, J, Acqualagna, L, Barral, O, Bellio, M, Chech, L, Eugster, M, Ferrari, E, Negri, P, Orso, V, Pluchino, P, Minelle, F, Serim, B, Wenzel, M & Jacucci, G 2015, Developing a Symbiotic System for Scientific Information Seeking: The Mindsee Project. in B Blankertz, G Jacucci, L Gamberini, A Spagnolli & J Freeman (eds), Symbiotic Interaction. Symbiotic 2015. vol. 9359, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9359, Springer, pp. 68-80, International Workshop on Symbiotic Interaction, Berlin, Germany, 07/10/2015. https://doi.org/10.1007/978-3-319-24917-9_7

Developing a Symbiotic System for Scientific Information Seeking: The Mindsee Project. / Gamberini, Luciano; Spagnolli, Anna; Blankertz, Benjamin et al.
Symbiotic Interaction. Symbiotic 2015. ed. / B. Blankertz; G. Jacucci; L. Gamberini; A. Spagnolli; J. Freeman. Vol. 9359 Springer, 2015. p. 68-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9359).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Developing a Symbiotic System for Scientific Information Seeking

T2 - International Workshop on Symbiotic Interaction

AU - Gamberini, Luciano

AU - Spagnolli, Anna

AU - Blankertz, Benjamin

AU - Kaski, Samuel

AU - Freeman, Jonathan

AU - Acqualagna, Laura

AU - Barral, Oswald

AU - Bellio, Maura

AU - Chech, Luca

AU - Eugster, Manuel

AU - Ferrari, Eva

AU - Negri, Paolo

AU - Orso, Valeria

AU - Pluchino, Patrik

AU - Minelle, Filippo

AU - Serim, Baris

AU - Wenzel, Markus

AU - Jacucci, Giulio

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AB - 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.

KW - BCI

KW - Implicit measures

KW - Information seeking

KW - Symbiotic system

KW - User experience

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U2 - 10.1007/978-3-319-24917-9_7

DO - 10.1007/978-3-319-24917-9_7

M3 - Conference article in proceedings

AN - SCOPUS:84951005191

SN - 9783319249162

VL - 9359

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 68

EP - 80

BT - Symbiotic Interaction. Symbiotic 2015

A2 - Blankertz, B.

A2 - Jacucci, G.

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A2 - Freeman, J.

PB - Springer

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Gamberini L, Spagnolli A, Blankertz B, Kaski S, Freeman J, Acqualagna L et al. Developing a Symbiotic System for Scientific Information Seeking: The Mindsee Project. In Blankertz B, Jacucci G, Gamberini L, Spagnolli A, Freeman J, editors, Symbiotic Interaction. Symbiotic 2015. Vol. 9359. Springer. 2015. p. 68-80. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-24917-9_7

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

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Publication series

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Keywords

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