Classification of Functional Attention in Video Meetings
Participants in video meetings have long struggled with asymmetrical attention levels, especially when participants are distributed unevenly. While technological advances offer exciting opportunities to augment remote users' attention, the phenomenological complexity of attention means that to design attention-fostering features we must first understand what aspects of it are functionally meaningful to support. In this paper, we present a functional classification of observable attention for video meetings. The classification was informed by two studies on sense-making and selectiveness of attention in work meetings. It includes categories of attention accessible for technological support, their functions in a meeting process, and meeting-related activities that correspond to these functions. This classification serves as a multi-level representation of attention and informs the design of features aiming to support remote participants' attention in video meetings.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 75%
KeyMap: Improving Keyboard Shortcut Vocabulary Using Norman's Mapping
CHI '20· Prototyping & User Testing
- 75%
X-Droid: A Quick and Easy Android Prototyping Framework with a Single App Illusion
UIST '19· Prototyping & User Testing
- 67%
AR-Cues Change Users’ Strategy for Dealing with Deferrable Interruptions
CHI '26· AR Navigation & Context Awareness +2
- 60%
Exploring New File Metaphors for a Networked World through the File Biography
CHI '18· Knowledge Worker Tools & Workflows +1
- 60%
Beyond "One-Size-Fits-All": Understanding the Diversity in How Software Newcomers Discover and Make Use of Help Resources
CHI '19· User Research Methods (Interviews, Surveys, Observation) +1
- 60%
Proxemics Beyond Proximity: Designing for Flexible Social Interaction Through Cross-Device Interaction
CHI '20· Distributed Team Collaboration +1
- 60%
Integrated Visualization Editing via Parameterized Declarative Templates
CHI '21· Interactive Data Visualization +1
- 60%
Think-Aloud Computing: Supporting Rich and Low-Effort Knowledge Capture
CHI '21· Knowledge Worker Tools & Workflows +1
- 60%
TweakIt: Supporting End-User Programmers Who Transmogrify Code
CHI '21· Knowledge Worker Tools & Workflows +1
- 60%
Varv: Reprogrammable Interactive Software as a Declarative Data Structure
CHI '22· Prototyping & User Testing +1
Based on Jaccard similarity of research subtopics & professions (≥60%)