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https://doi.org/10.1145/373782...
Article . 2025 . Peer-reviewed
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What is Extreme in Human-Computer Interaction Research?

Authors: Vatavu, Radu-Daniel; Vanderdonckt, Jean; 27th ACM International Conference on Mobile Human-Computer Interaction (MobileHCI '25);

What is Extreme in Human-Computer Interaction Research?

Abstract

Researchers in human-computer interaction have often approached interactive system design and engineering involving atypical users, novel technological advancements, and unconventional environments that deviate from the average, moderate, or standardized. This paper examines the extent to which researchers characterize their work as extreme, through a targeted literature review and an analysis of the linguistic connotations of the term. We emphasize extreme users, who display exaggerated behaviors, acquire extraordinary abilities, and engage in high-stakes, high-performing collaborations. We also highlight extreme platforms that facilitate input and output modalities surpassing conventional limits, foster intense synergy between users and machines, and employ boundary-pushing design approaches. Lastly, we discuss extreme environments, whether physical, digital, virtual, or mixed, which pose very serious, severe and potentially risky conditions. We conclude with the benefits for the HCI field of engaging in more scientific and technical explorations driven by “extreme” interaction elements.

Keywords

HCI theory, Human-centered computing, concepts and models, Interactive systems and tools

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green