Evaluating Typing Performance in Different Mixed Reality Manifestations using Physiological Features Article Swipe
Francesco Chiossi
,
Yassmine El Khaoudi
,
Changkun Ou
,
Ludwig Sidenmark
,
Abdelrahman Zaky
,
Tiare Feuchtner
,
Sven Mayer
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3698142
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3698142
Mixed reality enables users to immerse themselves in high-workload interaction spaces like office work scenarios. We envision physiologically adaptive systems that can move users into different mixed reality manifestations, to improve their focus on the primary task. However, it is unclear which manifestation is most conducive for high productivity and engagement. In this work, we evaluate whether physiological indicators for engagement can be discriminated for different manifestations. For this, we engaged participants in a typing task in three different mixed reality manifestations (augmented reality, augmented virtuality, virtual reality) and monitored physiological correlates (EEG, ECG, and eye tracking) of users' engagement and workload. We found that users achieved best typing performances in augmented reality and augmented virtuality. At the same time, physiological engagement peaked in augmented virtuality, while workload decreased. We conclude that augmented virtuality strikes a good balance between the different manifestations, as it facilitates displaying the physical keyboard for improved typing performance and, at the same time, allows one to block out the real world, removing many real-world distractors.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3698142
- https://dl.acm.org/doi/pdf/10.1145/3698142
- OA Status
- bronze
- Cited By
- 6
- References
- 131
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403717169
All OpenAlex metadata
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https://openalex.org/W4403717169Canonical identifier for this work in OpenAlex
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https://doi.org/10.1145/3698142Digital Object Identifier
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Evaluating Typing Performance in Different Mixed Reality Manifestations using Physiological FeaturesWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
- Publication date
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2024-10-24Full publication date if available
- Authors
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Francesco Chiossi, Yassmine El Khaoudi, Changkun Ou, Ludwig Sidenmark, Abdelrahman Zaky, Tiare Feuchtner, Sven MayerList of authors in order
- Landing page
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https://doi.org/10.1145/3698142Publisher landing page
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https://dl.acm.org/doi/pdf/10.1145/3698142Direct link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://dl.acm.org/doi/pdf/10.1145/3698142Direct OA link when available
- Concepts
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Typing, Computer science, Speech recognitionTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 3, 2024: 3Per-year citation counts (last 5 years)
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131Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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