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Assistant Professor of Computer Science

Tom Ongwere

Tom Ongwere obtained a Ph.D. in Health Informatics (2021) and a Master of Science in Informatics (2018) from Indiana University Bloomington ("IUB"). He also obtained a Master's degree in Computer Science (2015) and a Bachelor of Information Technology Honors Degree in Software Engineering (2014) from Polytechnic of Namibia. Furthermore, he obtained a Bachelor of Information Technology from St. Lawrence University in Uganda in 2011.

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Contributor Brief·Tom Ongwere · 2 articles
Updated Jul 31, 2023

GenAI convergence with natural language and mixed reality transforms human-computer interaction

Ongwere argues that generative AI represents a critical inflection point for human-computer interaction (HCI), but only if implementation pathways prioritize convergence between natural language and mixed reality rather than isolated technological advancement. He contends that WiMi Hologram Cloud and similar hybrid vision systems demonstrate that success requires intentional design choices—the difference between evolution toward efficiency and organizational resistance.

2

distinct articles published same date on identical core thesis

“The path to get there is critical if there's to be success, not resistance.”

Generative AI is Pushing Human-Computer Interaction Closer to its Goal of Maximized Efficiency (software and technology)

Core enabling technologies in GenAI-driven HCI transformation

Natural language processing9
Mixed reality integration9
Hybrid vision models8

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35%Natural language
Natural language processing
Mixed reality integration
Hybrid vision models

1

named company (WiMi Hologram Cloud) exemplifying the HCI evolution model

Natural language and mixed reality are converging to transform how humans and machines work together.

Generative AI is Pushing Human-Computer Interaction Closer to its Goal of Maximized Efficiency (education technology)

Generative AI provides significant opportunity to evolve human-computer interaction.

Generative AI is Pushing Human-Computer Interaction Closer to its Goal of Maximized Efficiency (software and technology)

“Maximized efficiency is the shared goal across software and education sectors.”

Themes:Convergence of natural language and mixed reality as HCI accelerantImplementation pathway design determines adoption versus organizational resistanceGenerative AI as inflection point requiring intentional architectural choices

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