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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 redefines human-computer interaction efficiency

Ongwere argues that generative AI creates a critical inflection point in human-computer interaction, where the path taken now determines whether organizations achieve maximized efficiency or face resistance. He advocates that natural language and mixed reality convergence—not AI alone—is the mechanism through which humans and machines can actually work together productively.

2

convergent technologies redefining HCI: natural language and mixed reality

“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)

Key dimensions of HCI evolution through GenAI

Natural language as interface layer9
Mixed reality workspace integration8
Hybrid vision models in HCI systems7
Efficiency maximization as primary outcome9

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27%Natural language
Natural language as interface layer
Mixed reality workspace integration
Hybrid vision models in HCI systems
Efficiency maximization as primary outcome

1

company explicitly named implementing this convergence: WiMi Hologram Cloud

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

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

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

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

“Success depends on implementation path, not technology availability alone.”

Themes:HCI evolution through generative AI convergenceNatural language and mixed reality as twin pillarsImplementation path determines organizational resistance or efficiency gains

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