Affective Signals as Implicit Indicators of Information Relevancy and Information Processing Strategies

Gonzalez-Ibañez, Roberto I; Shah, Chirag

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https://hdl.handle.net/2142/73679 Copy

Description

Title

Affective Signals as Implicit Indicators of Information Relevancy and Information Processing Strategies

Author(s)

• Gonzalez-Ibañez, Roberto I
• Shah, Chirag

Issue Date

2015-03-15

Keyword(s)

• human information behavior
• information seeking/retrieval
• human-computer interaction

Abstract

Search engines have become better in providing information to users, however, they still face major challenges such as determining how searchers process information, how they make relevance judgments, and how their cognitive or emotional state affect their search progress. We address these challenges by exploring searchers' affective dimension. In particular, we investigate how feelings, facial expressions, and electrodermal activity (EDA) could help to understand information relevancy, search progress, and information processing strategies (IPSs). To meet this goal, we designed an experiment with 45 participants exposed to affective stimuli prior solving a precision-oriented search task. Results indicate that initial affective states are linked to IPSs. In addition, we found that smiles act as implicit indicators of information relevancy and IPSs. Moreover, results convey that both smiles and EDA may serve as implicit indicators of progress and completion of search tasks. Findings from this work have practical implications in areas such as personalization and relevance feedback.

Publisher

iSchools

Series/Report Name or Number

iConference 2015 Proceedings

Type of Resource

text

Language

English

Permalink

http://hdl.handle.net/2142/73679

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Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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