Searcharxiv⌕ Search

arXiv subjects

Gun Woo Warren Park

Publications and source records attributed to Gun Woo Warren Park.

2 recordsLinked to original sources

FaceValue: Exploring Real-Time Self-View Overlays to Prompt Meaning-Oriented Self-Awareness in Remote Meetings

In remote video meetings, visual non-verbal cues, such as facial expressions or head movements, are seen continuously but often only partially. This increases ambiguity compared to in-person settings and can cause misinterpretation or misalignment between intended and perceived meaning. Motivated by communication theories, we designed FaceValue, a technology probe that augments the self-view with private, real-time overlays. These overlays are subtle, suggestive prompts intended to help attendees reflect on how their cues might be interpreted by others. To invite personal interpretation, FaceValue avoids behavioral labeling and instead aims to support meaning-oriented self-awareness: recognizing when visible cues may unintentionally (mis)communicate intent. We deployed FaceValue in the wild with thirteen knowledge workers over multiple weeks, capturing perceived changes in self-awareness and behavior, and impressions on the design concepts, as self-reported by participants through diary entries and exit interviews. Participants felt FaceValue increased their awareness of potentially misaligned cues and motivated in-meeting adjustments, which they believe resulted in improved communication with other attendees. We contribute a conceptual framing that positions visual non-verbal cues as a manipulable communication resource, a technology probe that aims to foster meaning-oriented self-awareness, and empirically-grounded design insights for future meeting systems.

cs.HC↗

The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings

Effective meetings are effortful, but traditional videoconferencing systems offer little support for reducing this effort across the meeting lifecycle. Generative AI (GenAI) has the potential to radically redefine meetings by augmenting intentional meeting behaviors. CoExplorer, our novel adaptive meeting prototype, preemptively generates likely phases that meetings would undergo, tools that allow capturing attendees' thoughts before the meeting, and for each phase, window layouts, and appropriate applications and files. Using CoExplorer as a technology probe in a guided walkthrough, we studied its potential in a sample of participants from a global technology company. Our findings suggest that GenAI has the potential to help meetings stay on track and reduce workload, although concerns were raised about users' agency, trust, and possible disruption to traditional meeting norms. We discuss these concerns and their design implications for the development of GenAI meeting technology.

cs.HC↗