The Impact of AI Techniques on Human-AI Interaction Quality in Project Management: A Mixed-Methods Study

Abstract

Artificial intelligence (AI) is changing how organizations work through its integration with project management. This study looks at how AI approaches affect the quality of human-AI interaction in project management settings. The main research issue focuses on figuring out how various AI approaches affect the quality of interactions. A mixed-methods approach was used in the study, integrating qualitative case studies with quantitative questionnaires. Forty-five (45) respondents, comprising project managers and developers from various organizations in Lagos State, Nigeria, were among the participants. While qualitative interviews probed participant experiences, quantitative data offered numerical insights. It was revealed that image-based AI increases engagement by providing visual signals, while speech-based AI improves social presence and trust. Additionally, performance, communication, and trust are all related. This implies that open communication promotes trust, which influences the project's success. By being transparent and adapting AI implementation to the specifics of each project, project managers and AI engineers can foster confidence and regularly assess the efficacy of AI.