Armitstead, Stephanie Mae (2025) Designing a Multimodal AI Framework for Real-Time Behavioral and Verbal Analysis of Virtual Client Interactions. Masters thesis, Dublin, National College of Ireland.
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Abstract
Very few survived the COVID epidemic unscathed by the joys of virtual meetings. From virtual networking groups and happy hours to weekly team meetings, professionals were thrust into more Zoom, Teams, and Google Meet than they could have ever anticipated. While not to that extreme, in today’s increasingly virtual business landscape, effective client engagement in online meetings remains a key challenge. Traditional sales and relationship management strategies rely heavily on interpreting subtle behavioral and verbal cues, many of which are lost in remote settings. This practicum presents the design and prototyping of a multimodal AI framework that analyzes real-time audio-visual and text cues during virtual client interactions. The system integrates computer vision, speech-to-text transcription, sentiment analysis, and a lightweight dashboard interface to provide actionable insights to sales professionals and relationship managers. This paper outlines the academic grounding, technical design, implementation, and proposed evaluation of the prototype. It also discusses key considerations around privacy, ethics, and user trust in client-facing AI systems.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Simiscuka, Anderson UNSPECIFIED |
| Uncontrolled Keywords: | Multimodal AI; Real-time behavioral analysis; Sentiment analysis; Video conferencing; Client engagement; Sales enablement |
| Subjects: | Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > Economics > Business H Social Sciences > HD Industries. Land use. Labor > Issues of Labour and Work > Hours of Labour > Flexible work arrangements > Telecommuting |
| Divisions: | School of Computing > Master of Science in Artificial Intelligence for Business |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 24 Aug 2026 10:07 |
| Last Modified: | 24 Aug 2026 10:07 |
| URI: | https://norma.ncirl.ie/id/eprint/9585 |
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