Nonverbal communication covers everything beyond the literal words: body language, facial expressions, posture, eye contact, hand gestures, vocal tone, pacing, and the use of physical space. In a shared office, people read these cues constantly and mostly unconsciously, in hallways, meeting rooms, and the small talk before a meeting starts. Moving that same interaction onto video, chat, or email strips most of it away.
The channels that degrade most are full-body posture, peripheral awareness of who else is around, proxemics (physical distance and orientation), and haptics like handshakes or a hand on the shoulder. A standard webcam crops out the body and hands entirely, poor lighting hides facial expression, and audio compression flattens vocal tone, so what would be a rich, multi-channel signal in person arrives through one narrow channel.
A popular claim holds that "93 percent of communication is nonverbal," but that badly misapplies Albert Mehrabian's 1967 experiments, which measured only how people judged feelings from single spoken words paired against a conflicting tone or facial expression, not general workplace communication. In an actual work conversation, giving direction, debating a roadmap, or negotiating scope, the words carry far more of the meaning than that oft-cited rule implies.
Eye contact, facial expression, body language, vocal tone, and text cues each degrade differently online, so each needs a different fix. Video calls also add a real cognitive cost: people work harder to consciously interpret cues that used to register automatically, and knowing which channel is failing helps you spend that effort where it actually counts.
Jeremy Bailenson's 2021 paper on the causes of Zoom fatigue identifies four mechanisms behind it: excessive close-up eye gaze, the cognitive load of consciously producing and monitoring your own nonverbal cues, self-evaluation from watching your own video feed, and constraints on physical mobility. Bailenson framed these as theoretical arguments rather than settled findings, and a 2023 study by Fauville and colleagues involving 9,787 participants found empirical support for Bailenson's theory of nonverbal overload, with more fatigue among people who used video conferencing more often, for longer stretches, and with fewer breaks, and notably higher fatigue reported by women. The sections below on eye contact, facial expressions, and body language draw on that framework; vocal tone and digital cues sit outside its scope.
Eye contact
Eye contact is one of the clearest trust and attention signals humans read, in person or on screen. On a video call, looking at someone's face on your screen means your eyes sit slightly below the camera lens, so what feels like direct attention to you registers as avoided eye contact to the other person. Raise your webcam to eye level, move the active speaker's video window as close to the camera lens as you can, and look directly into the lens for moments that matter most: delivering feedback, asking for input, or committing to a decision. On larger group calls, sustained staring into the lens reads as intense, so use short, deliberate bursts of camera contact and scan participant thumbnails the rest of the time.
Facial expressions
Remote participants mostly see your face and shoulders, so micro-expressions and resting facial expression do much of the work of conveying engagement, while lighting affects how clearly those cues are visible. Poor lighting, camera filters, and low resolution can flatten subtle expressions and make you look disengaged even when you're fully involved. Use natural light or a simple ring light positioned in front of you, slightly more visible nodding, and intentional reaction faces to make your engagement legible on screen the way it would be obvious in person.
Body language and hand gestures
A standard laptop webcam crops out most of your body and sometimes your hands, which removes cues like open posture and supportive gestures. Position your camera far enough back to include your upper torso and hands, and keep gestures smaller and more deliberate since large ones translate poorly on camera. Leaning slightly forward when someone else is speaking is a small, clear signal of active listening that still reads on screen, and it helps the other person feel heard even through a grid of video tiles.
Vocal tone and pacing
On many calls, your voice is doing more work than your posture, especially when people dial in by phone or the meeting is mostly screen sharing. Compression on video conferencing software flattens pitch and volume, which can make ordinary phrasing sound flatter or harsher than intended, so it's worth being deliberate about tone rather than relying on it to come through naturally. Speak slightly slower than you would in person, build in short explicit pauses for questions, and vary your tone on purpose to signal enthusiasm, concern, or a decision point. For coaching conversations or workshops where tone really matters, turn on the highest-quality audio settings you have available.
Digital cues in text-based communication
When body language and facial expression are absent, punctuation, line breaks, response time, and the occasional emoji become your nonverbal signals. A one-word "Fine." can read as annoyed, while "Sounds good, thanks for pushing this forward" carries warmth for almost the same effort. Short, quick confirmations paired with sparing emoji use soften direct feedback, and in global teams it's worth being conservative with sarcasm and culturally specific emoji, since both are easy to misread without shared context. Writing with explicit intent, for example, "I'm flagging this because I want to help, not criticize," heads off a lot of the misinterpretation that plagues async communication.
Trust, feedback, and collaboration are especially vulnerable because each depends on quickly reading intent, receptiveness, and agreement. Remote work cuts out the informal interactions that normally build a sense of reliability and warmth: hallway conversations, shared meals, someone spontaneously helping with a stuck problem. People end up inferring those qualities from scheduled interactions and digital traces instead, which is a much slower path to trust.
Feedback and difficult conversations feel more brittle over video, since you can't read small shifts in posture or expression to calibrate how hard a message is landing, and team members may hold back ideas simply because they can't tell whether the room is receptive. A distributed product team debating roadmap priorities on video, for example, loses the smiles and relaxed posture that would soften the same critique in person.
Group problem-solving suffers for a related reason: you can't see who's leaning in, who wants to speak, or the side glances that signal partial agreement or quiet doubt. On an engineering incident call, nobody notices that the on-call engineer has been trying to interject for two minutes. In a curriculum meeting, two people exchange a look about a proposal, say nothing, and it passes unopposed only to unravel later. Both are the same failure: the nonverbal signals that normally guide turn-taking and signal tacit agreement simply aren't visible.
