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Characterizing Information Seeking Processes with Multiple Physiological Signals

Published: 11 July 2024 Publication History

Abstract

Information access systems are getting complex, and our understanding of user behavior during information seeking processes is mainly drawn from qualitative methods, such as observational studies or surveys. Leveraging the advances in sensing technologies, our study aims to characterize user behaviors with physiological signals, particularly in relation to cognitive load, affective arousal, and valence. We conduct a controlled lab study with 26 participants, and collect data including Electrodermal Activities, Photoplethysmogram, Electroencephalogram, and Pupillary Responses. This study examines informational search with four stages: the realization of Information Need (IN), Query Formulation (QF), Query Submission (QS), and Relevance Judgment (RJ). We also include different interaction modalities to represent modern systems, e.g., QS by text-typing or verbalizing, and RJ with text or audio information. We analyze the physiological signals across these stages and report outcomes of pairwise non-parametric repeated-measure statistical tests. The results show that participants experience significantly higher cognitive loads at IN with a subtle increase in alertness, while QF requires higher attention. QS involves demanding cognitive loads than QF. Affective responses are more pronounced at RJ than QS or IN, suggesting greater interest and engagement as knowledge gaps are resolved. To the best of our knowledge, this is the first study that explores user behaviors in a search process employing a more nuanced quantitative analysis of physiological signals. Our findings offer valuable insights into user behavior and emotional responses in information seeking processes. We believe our proposed methodology can inform the characterization of more complex processes, such as conversational information seeking.

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SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
July 2024
3164 pages
ISBN:9798400704314
DOI:10.1145/3626772
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  1. information seeking
  2. physiological signals
  3. user studies

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  • (2024)Brain-Computer Interface Meets Information Retrieval: Perspective on Next-generation Information SystemProceedings of the 1st International Workshop on Brain-Computer Interfaces (BCI) for Multimedia Understanding10.1145/3688862.3689114(61-65)Online publication date: 28-Oct-2024
  • (2024)Report on the 8th Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI 2024) at CHIIR 2024ACM SIGIR Forum10.1145/3687273.368728258:1(1-12)Online publication date: 7-Aug-2024
  • (2024)Towards Investigating Biases in Spoken Conversational SearchCompanion Proceedings of the 26th International Conference on Multimodal Interaction10.1145/3686215.3690156(61-66)Online publication date: 4-Nov-2024
  • (2024)Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational SearchAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680245(1-10)Online publication date: 21-Sep-2024

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