Personal Information Practices and Technologies Predict Information Overload Indirectly Through Affects

Everyone needs to somehow manage personal information, and there are numerous choices for technologies that support personal information management (PIM). Meanwhile, many suffer from experiences of information overload related to PIM. We developed a quantitative model of information overload in personal information management and tested it against data we collected in a large-scale survey study (N=1011). Using structural equation modeling, we found that using many PIM technologies account for information overload through practices of keeping information and feeling of desperation, and through organizing and feeling of efficacy, but not directly. Our study deepens the understanding of information overload in the context of PIM and distinguishes different roles that technologies, practices, and affects have in relation to it. The findings highlight how designs and interventions targeted to reduce negative affects related to PIM could be the most effective in countering information overload.

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Publication Details

Journal
ACM Transactions on Computer-Human Interaction
Published
2026-05-08
DOI
https://doi.org/10.1145/3812801
Primary Topic
Personal Information Management and User Behavior
Type
article
Field-Weighted Citation Impact
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article

Personal Information Practices and Technologies Predict Information Overload Indirectly Through Affects

Henrik Lassila, Janne Lindqvist
ACM Transactions on Computer-Human Interaction
Personal Information Management and User Behavior
article

Personal Information Practices and Technologies Predict Information Overload Indirectly Through Affects

Henrik Lassila, Janne Lindqvist
article en

Abstract

Everyone needs to somehow manage personal information, and there are numerous choices for technologies that support personal information management (PIM). Meanwhile, many suffer from experiences of information overload related to PIM. We developed a quantitative model of information overload in personal information management and tested it against data we collected in a large-scale survey study (N=1011). Using structural equation modeling, we found that using many PIM technologies account for information overload through practices of keeping information and feeling of desperation, and through organizing and feeling of efficacy, but not directly. Our study deepens the understanding of information overload in the context of PIM and distinguishes different roles that technologies, practices, and affects have in relation to it. The findings highlight how designs and interventions targeted to reduce negative affects related to PIM could be the most effective in countering information overload.

ACM Transactions on Computer-Human Interaction
Aalto University (FI)
Openalex Percentile: Top 3%
Personal Information Management and User Behavior
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