Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

Generative AI is Pushing Human-Computer Interaction Closer to its Goal of Maximized Efficiency

Technological advancements in Generative AI (artificial intelligence) provide a significant opportunity to evolve human-computer interaction (HCI). Still, the path to get there is critical if there’s to be success, not resistance. WiMi Hologram Cloud is one company working on this evolution. Its Human-Computer Interaction (HCI) system that uses a hybrid vision model based on…

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Tom Ongwere · AiChat GptGenerative AiHci
Share

Key takeaways

01

Technological advancements in Generative AI (artificial intelligence) provide a significant opportunity to evolve human-computer interaction (HCI).

02

Still, the path to get there is critical if there’s to be success, not resistance.

03

WiMi Hologram Cloud is one company working on this evolution.

Get featured

Want to get featured in MarketScale Software & Technology?

Create a free MarketScale workspace and get your company's expertise featured across our Software & Technology coverage. No credit card, no demo required.

Request an invite

Technological advancements in Generative AI (artificial intelligence) provide a significant opportunity to evolve human-computer interaction (HCI). Still, the path to get there is critical if there’s to be success, not resistance.

WiMi Hologram Cloud is one company working on this evolution. Its Human-Computer Interaction (HCI) system that uses a hybrid vision model based on computer vision and mixed reality, enabling real-time, natural interaction between users and computers. This development mirrors the strides made by OpenAI’s Chat GPT, an AI language model that is revolutionizing communication by providing personalized, human-like responses.

As these technologies evolve, they will transform various sectors, from gaming and education to customer support, making interactions more efficient and inclusive. However, as companies and industries embrace this transformative period in communication, the need for responsible AI usage becomes paramount, underscoring the importance of ethical considerations in developing and applying these advanced systems.

Tom Ongwere, Assistant Professor of Computer Science at The University of Dayton, doesn’t see AI as a takeover for humans but as a powerful tool that can help transform the HCI dynamic.

Tom’s Thoughts

“When we’re talking about the future of AI in HCI, I look and think about human-centered generative AI and not human-like AI. AI’s future in HCI is already here; we’re living it. But to better understand and respond to this question, I want to take us back to defining the goal of HCI.

Norman, in his work 1988, suggests that HCI should focus on developing functional systems that are usable, safe, and efficient for the end users. So, in other words, when we’re talking about efficiency, we need that users make a minimum effort to engage with these interfaces and have minimal errors in that process. AI is helping bring this goal to fruition.

So already, we see changes in how these interactive digital interfaces and technologies have been designed. We see the introduction of digital assistants or active actors in digital interfaces, to mention a few.

With that being said, I think that when we’re talking about the future of AI in HCI, I look and think about human-centered generative AI and not human-like AI. So, generative AI will help tackle a need to really understanding users’ behaviors, understanding their needs and preferences. And then, with that understanding, inform the design of interfaces and technologies and interactions that may engage human senses, such as vision, hearing, and touch, to bring about this enjoyable experience that every human would love when they’re using those technologies and when they are using any interactive digital interface that they may come by.”

Article by James Kent

Your experts belong here

Every story in MarketScale Software & Technology starts with a company putting its solutions engineers, product teams, and customer engineers on the record. Buyers are already reading this topic. The only question is whose experts they find.

Buyers ask AI engines who to consider, and published expert answers are what those engines cite.

Get your team featuredSee how it works15 minutes, straight to a calendar.

About the author

Tom Ongwere
Tom OngwereAssistant Professor of Computer Science

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.

Follow Software & Technology Insights

Get new expert content in your inbox.

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Software & Technology expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your solutions engineers, product teams, and customer engineers into the articles, video, and social content Software & Technology buyers are searching for. Create a free workspace and see it with your own people. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Software & Technology Insights

AI projects now start with hiring and fiber, not models

AI projects now start with hiring and fiber, not models

Recent developments in AI projects emphasize the importance of execution capability, highlighted by partnerships such as SSA’s AI RFI, New York's IBM enterprise agreement, and Zayo's collaboration with Corning Fiber. These collaborations underscore the necessity of foundational infrastructure, like hiring skilled personnel and establishing robust fiber networks, as prerequisites for effective AI model deployments. The shift indicates a focus on operational readiness and infrastructure as critical components in the successful implementation of AI technologies.

  • 01Infrastructure and skilled workforce are now crucial starting points for AI projects, more so than model development.
  • 02Collaboration with established technology and infrastructure providers is pivotal for effective AI execution.
  • 03Execution capability is increasingly seen as a constraint in AI initiatives, with companies prioritizing operational readiness.

Aug 28, 2026

Salesforce’s Claudeforce plug-in makes AI agent rollouts look like a CRM upgrade

Salesforce’s Claudeforce plug-in makes AI agent rollouts look like a CRM upgrade

Salesforce has introduced a Claude plug-in as part of its expanded partnership with Anthropic, enhancing its AI capabilities. This development coincides with Salesforce's Q2 growth. It raises questions about the optimal placement and role of AI agents within CRM and data platforms.

  • 01Salesforce has launched a Claude plug-in to enhance its AI capabilities.
  • 02The integration is part of an expanded partnership with Anthropic.
  • 03Salesforce reported growth in Q2 alongside these AI advancements.

Aug 28, 2026

Dreamforce 2026 turns agentic AI into an IT and CX integration job

Dreamforce 2026 turns agentic AI into an IT and CX integration job

Dreamforce 2026 is focusing on governance-and-integration challenges rather than purely showcasing new technologies. Key topics include Headless 360, Agentforce, and data readiness. The event promises to explore how AI can be effectively integrated into IT and customer experience solutions.

  • 01Dreamforce 2026 emphasizes governance and integration over demonstrations.
  • 02Key focus areas include Headless 360, Agentforce, and data readiness.
  • 03The event explores the integration of AI into IT and customer experience solutions.

Aug 27, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

Tom Ongwere
Tom Ongwere

Assistant Professor of Computer Science

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.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Software & Technology and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512