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NeuroIIR: Challenges in Bringing Neuroscience to Research in Human-Information Interaction

Published: 07 March 2017 Publication History

Abstract

The workshop will be the second in a series, building upon a successful workshop held at the SIGIR 2015 conference. The main aim is to focus on a narrow but highly important set of topics that have been identified in the last workshop and are of importance to IR and IIR researchers. The core theme of the workshop will be challenges is using and applying neurophysiological experimental methodologies and their applicability and adaptation in the context of IR and IIR research studies. The goal will be to clarify some of the major neurophysiological methodological concepts and constructs relevant to IR and IIR, expand awareness of critical parameters associated with neurophysiological devices and equipment, and provide a foundation to researchers to enable them to apply appropriate neurophysiological modalities for specific types of IR and IIR research investigations. Discussions on establishing reference tasks and standard data sets and launching a special journal issue on key topics will round out the event.

References

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Moshfeghi, Y. et al. 2013. Understanding Relevance: An fMRI Study. Advances in Information Retrieval. P. Serdyukov et al., eds. Springer Berlin Heidelberg. 14--25.
[2]
Moshfeghi, Y. et al. 2016. Understanding Information Need: An fMRI Study. Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (New York, NY, USA, 2016), 335--344.
[3]
Gwizdka, J. 2013. Looking for Information Relevance In the Brain. Gmunden Retreat on NeuroIS 2013 (Gmunden, Austria, Jun. 2013), 14.
[4]
Arapakis, I. et al. 2009. Enriching User Profiling with Affective Features for the Improvement of a Multimodal Recommender System. Proceedings of the ACM International Conference on Image and Video Retrieval (New York, NY, USA, 2009), 29:1--29:8.
[5]
Mostafa, J. and Gwizdka, J. 2016. Deepening the Role of the User: Neuro-Physiological Evidence As a Basis for Studying and Improving Search. Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval (New York, NY, USA, 2016), 63--70.
[6]
Gwizdka, J. and Mostafa, J. 2016. NeuroIR 2015: SIGIR 2015 Workshop on Neuro-Physiological Methods in IR Research. SIGIR Forum. 49, 2 (Jan. 2016), 83--88.
[7]
Cole, M.J. et al. 2013. Inferring user knowledge level from eye movement patterns. Information Processing & Management. 49, 5 (Sep. 2013), 1075--1091.
[8]
Wang, S. et al. 2016. Using Wireless EEG Signals to Assess Memory Workload in the n-Back Task. IEEE Transactions on Human-Machine Systems. 46, 3 (Jun. 2016), 424--435.
[9]
Gwizdka, J. 2016. Differences in Reading between Word Search and Information Relevance Decisions -- Evidence from Eye-tracking. Gmunden Retreat on NeuroIS 2016 (Gmunden, Austria, Jun. 2016), 6.

Cited By

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  • (2023)Toward an Educative EEG-Based neuroIIR System for Adapting ContentsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.2275088(1-15)Online publication date: 3-Nov-2023
  • (2021)The impact of reading fluency level on interactive information retrievalUniversal Access in the Information Society10.1007/s10209-021-00826-y22:1(51-67)Online publication date: 16-Aug-2021
  • (2019)Interactive IR User Study Design, Evaluation, and ReportingSynthesis Lectures on Information Concepts, Retrieval, and Services10.2200/S00923ED1V01Y201905ICR06711:2(i-75)Online publication date: 3-Jun-2019
  • Show More Cited By

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Published In

cover image ACM Conferences
CHIIR '17: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval
March 2017
454 pages
ISBN:9781450346771
DOI:10.1145/3020165
  • Conference Chairs:
  • Ragnar Nordlie,
  • Nils Pharo,
  • Program Chairs:
  • Luanne Freund,
  • Birger Larsen,
  • Dan Russel
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2017

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Author Tags

  1. experimentation
  2. human-information interaction
  3. information retrieval
  4. measurement
  5. neuro-physiological methods and tools.
  6. neuroscience

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CHIIR '17
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CHIIR '17 Paper Acceptance Rate 10 of 48 submissions, 21%;
Overall Acceptance Rate 55 of 163 submissions, 34%

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Cited By

View all
  • (2023)Toward an Educative EEG-Based neuroIIR System for Adapting ContentsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.2275088(1-15)Online publication date: 3-Nov-2023
  • (2021)The impact of reading fluency level on interactive information retrievalUniversal Access in the Information Society10.1007/s10209-021-00826-y22:1(51-67)Online publication date: 16-Aug-2021
  • (2019)Interactive IR User Study Design, Evaluation, and ReportingSynthesis Lectures on Information Concepts, Retrieval, and Services10.2200/S00923ED1V01Y201905ICR06711:2(i-75)Online publication date: 3-Jun-2019
  • (2019)Introduction to the special issue on neuro‐information scienceJournal of the Association for Information Science and Technology10.1002/asi.2426370:9(911-916)Online publication date: 2-Aug-2019
  • (2019)Integrating neurophysiologic relevance feedback in intent modeling for information retrievalJournal of the Association for Information Science and Technology10.1002/asi.2416170:9(917-930)Online publication date: 2-Aug-2019
  • (2019)The relationships between health information behavior and neural processing in african americans with prehypertensionJournal of the Association for Information Science and Technology10.1002/asi.2409870:9(968-980)Online publication date: 2-Aug-2019

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