Remote Meeting Attendee Attention State Information Extraction Video Dataset
#action recognition #behavior analysis #attention detection #remote meeting analysis #human-computer interaction optimization #user behavior research
- 500 records
- 1.5G
- MP4
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
With the increasing prevalence of remote work, ensuring the effectiveness of meetings has become a significant challenge. Traditional methods of evaluating meeting effectiveness rely on subjective feedback, making it difficult to conduct precise analysis through data-driven approaches. This poses a dilemma for meeting organizers. The construction of this dataset aims to provide a quantifiable and more objective evaluation method to help identify the attention state of attendees during meetings. Data collection employs high-definition camera equipment set in various office environments to simulate real remote meeting scenarios. Quality control is ensured through multiple rounds of annotation and consistency checks, carried out by a team of 10 individuals with professional backgrounds in behavior analysis. Data preprocessing includes keyframe extraction, feature point marking, and time series slicing, finally stored and organized into subsets of different meeting scenarios in MP4 format.
Dataset Insights
Sample Examples
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
| participant_count | int | The total number of participants appearing in the video. |
| attention_level | string | The level of attention for each participant in the video, e.g., high, medium, low. |
| eye_contact_duration | float | The total duration of eye contact with the screen by a participant, measured in seconds. |
| distraction_events | int | The number of distraction events detected for participants in the video. |
| body_language | string | The state of the participant's body language in the video, such as posture, gestures, etc. |
| focus_objects | string | The main objects or areas a participant focuses on in the video. |
| speech_activity | string | The speaking activities of a participant, such as frequency of speaking, tone changes, etc. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- On which remote conference platforms can this dataset be used?
- This dataset can be used on common remote conference platforms such as Zoom, Microsoft Teams, and Google Meet to help analyze and improve participant attention.
- How can this dataset be used to improve the efficiency of remote meetings?
- By analyzing participant attention states, adjustments can be made to the meeting pace and interaction methods in real time, improving overall meeting efficiency.
- How does this dataset benefit researchers?
- This dataset helps researchers understand individual and group attention characteristics in remote meetings, aiding the development of new meeting tools and analytical methods.
- What is the significance of participant attention state information for businesses?
- Understanding the attention distribution of employees in meetings helps businesses enhance meeting quality and reduce instances of inattention, thereby improving work efficiency.
- How does this dataset promote the development of online education and training?
- By analyzing attention states in remote learning, teaching methods can be improved to enhance the interactivity and appeal of online courses.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Remote Meeting Attendee Attention State Information Extraction Video Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/01e7bcb56932fd9dfc449e700b9ad7ab},
urldate={2026-02-04},
keywords={attention detection video dataset, remote meeting analysis dataset, behavior recognition data},
version={1.0}
}Using this in research? Please cite us.
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