research-article

Affective feedback: an investigation into the role of emotions in the information seeking process

Authors:

Ioannis Arapakis,

Joemon M. Jose,

Philip D. GrayAuthors Info & Claims

SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

Pages 395 - 402

https://doi.org/10.1145/1390334.1390403

Published: 20 July 2008 Publication History

Abstract

User feedback is considered to be a critical element in the information seeking process, especially in relation to relevance assessment. Current feedback techniques determine content relevance with respect to the cognitive and situational levels of interaction that occurs between the user and the retrieval system. However, apart from real-life problems and information objects, users interact with intentions, motivations and feelings, which can be seen as critical aspects of cognition and decision-making. The study presented in this paper serves as a starting point to the exploration of the role of emotions in the information seeking process. Results show that the latter not only interweave with different physiological, psychological and cognitive processes, but also form distinctive patterns, according to specific task, and according to specific user.

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Cited By

Ji KHettiachchi DSalim FScholer FSpina DHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Characterizing Information Seeking Processes with Multiple Physiological SignalsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657793(1006-1017)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657793
Hobkirk ETwiss S(2024)Domestication constrains the ability of dogs to convey emotions via facial expressions in comparison to their wolf ancestorsScientific Reports10.1038/s41598-024-61110-614:1Online publication date: 7-May-2024
https://doi.org/10.1038/s41598-024-61110-6
Milton APera M(2023)Into the Unknown: Exploration of Search Engines’ Responses to Users with Depression and AnxietyACM Transactions on the Web10.1145/358028317:4(1-29)Online publication date: 11-Jul-2023
https://dl.acm.org/doi/10.1145/3580283
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Index Terms

Affective feedback: an investigation into the role of emotions in the information seeking process
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces
2. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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cover image ACM Conferences

SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

July 2008

934 pages

ISBN:9781605581644

DOI:10.1145/1390334

General Chairs:
Tat-Seng Chua
National University of Singapore
,
Mun-Kew Leong
National Library Board, Singapore
,
Program Chairs:
Syung Hyon Myaeng
Information and Communications University, Korea
,
Douglas W. Oard
University of Maryland, College Park, USA
,
Fabrizio Sebastiani
Consiglio Nazionale delle Ricerche, Italy

Copyright © 2008 ACM.

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Published: 20 July 2008

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Cited By

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https://dl.acm.org/doi/10.1145/3626772.3657793
Hobkirk ETwiss S(2024)Domestication constrains the ability of dogs to convey emotions via facial expressions in comparison to their wolf ancestorsScientific Reports10.1038/s41598-024-61110-614:1Online publication date: 7-May-2024
https://doi.org/10.1038/s41598-024-61110-6
Milton APera M(2023)Into the Unknown: Exploration of Search Engines’ Responses to Users with Depression and AnxietyACM Transactions on the Web10.1145/358028317:4(1-29)Online publication date: 11-Jul-2023
https://dl.acm.org/doi/10.1145/3580283
Pirmoradi Bezanjani A(2023)Measuring In-Task Emotional Responses to Address Issues in Post-Task QuestionnairesProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578284(482-485)Online publication date: 19-Mar-2023
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Reimer JSchmidt SFröbe MGienapp LScells HStein BHagen MPotthast MChen HDuh WHuang HKato MMothe JPoblete B(2023)The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web ArchivesProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591890(2848-2860)Online publication date: 19-Jul-2023
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Davis KSpape MRuotsalo T(2023)Contradicted by the Brain: Predicting Individual and Group Preferences via Brain-Computer InterfacingIEEE Transactions on Affective Computing10.1109/TAFFC.2022.322588514:4(3094-3105)Online publication date: 1-Oct-2023
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Akbari ANowkarizi MRostami RMoghimi A(2022)The role of psychological, skill level and demographic variables in information-seeking behaviours in mental health professionalsJournal of Information Science10.1177/0165551522109236350:2(420-433)Online publication date: 21-Apr-2022
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Haimerl MColley MRiener A(2022)Evaluation of Common External Communication Concepts of Automated Vehicles for People With Intellectual DisabilitiesProceedings of the ACM on Human-Computer Interaction10.1145/35467176:MHCI(1-19)Online publication date: 20-Sep-2022
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Graef RKlier MObermeier AZolitschka J(2022)What to buy, Pepper? – Bridging the Physical and the Digital World with Recommendations from Humanoid RobotsJournal of Decision Systems10.1080/12460125.2022.202904932:2(439-465)Online publication date: 23-Jan-2022
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