Skip to content
‹ 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.

Free workspace

Turn your Software & Technology expertise into content.

Record interviews, organize footage, and write with AI on a free trial of the MarketScale platform for qualifying companies. No demo required, no credit card.

Try it Free

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.

Book DemoSee 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.

B2B Weekly

The week in Software & Technology, and sixteen other industries, every Monday.

Ten stories, one-line takes, five minutes. Free.

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. Explore how your experts, customers, and partners can become useful content for buyers and AI search.

Free Trial

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. Start a free trial and see it with your own people. For qualifying companies, no credit card, no demo required.

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

What your free trial includes

Hands-on access to the MarketScale platform
Media requests to your crowd, remote recording, AI writing tools
No demo required. No credit card.
For qualifying companies. Company confirmation required.

More Software & Technology Insights

CREBuilder Connects Brokers to the CommercialCafe Listing Network

CREBuilder connected to the CommercialCafe Listing Network, letting brokers sync listing information from CREBuilder to CommercialCafe, CommercialSearch and PropertyShark. The listing feed carries property details, photos, broker contact information and public marketing materials, and changes made in CREBuilder are reflected through the connection to reduce repeat data entry.

  • 01Brokers can create offering memorandums in CREBuilder and sync listing info to CommercialCafe, CommercialSearch and PropertyShark
  • 02Changes made in CREBuilder are reflected in the listing information through the connection, reducing the need to re-enter listing details across separate systems
  • 03CommercialCafe's Listing Network reaches millions of viewers and generates tens of thousands of leads per month

Nov 9, 2026

Stop scaring prospects who already agree on cybersecurity

Stop scaring prospects who already agree on cybersecurity

N-able's Stefanie Hammond applies The JOLT Effect by Matthew Dixon and Ted McKenna to MSP cybersecurity sales. Challenger Inc. summarizes research putting 40% to 60% of lost deals in no decision, and Dixon and McKenna report most no-decision losses stem from fear of failure. Hammond argues MSPs should recommend one program, stop piling on urgency, and phase implementation instead of shrinking protection.

  • 01Dixon and McKenna's research analyzed 2.5 million recorded sales conversations and found 40% to 60% of lost deals end in no decision; in an October 2024 post, they wrote that 56% of no-decision losses stem from fear of failure.
  • 02Hammond's rule for MSPs: once a prospect agrees the security gap is real, stop adding fear and breach statistics and start recommending a single program with the reasons behind it.
  • 03Her version of sell less to sell more keeps the full program and splits deployment into monthly phases, identity and MFA first, then endpoint protection and MDR, then backup and recovery testing.

Nov 9, 2026

Musk's Terafab places rush orders with Japanese chip equipment makers

Musk's Terafab places rush orders with Japanese chip equipment makers

Terafab, the chip project jointly pursued by Tesla and SpaceX, has begun ordering from Japanese semiconductor equipment makers, with some delivery deadlines only months away, Nikkei reported. The orders support Elon Musk's target of mass production in the second half of 2028. Longer term, Terafab has told equipment makers it intends to reach 1 million wafers per month after 2032, about 700,000 of them for memory.

  • 01Terafab officials visited Japan earlier this month and met suppliers as Terafab began placing orders with equipment makers, some due within months, Nikkei reports.
  • 02Musk is targeting a first test chip in Austin in May or June next year and mass production in the second half of 2028.
  • 03Terafab's long-term goal is 1 million wafers per month after 2032, with about 700,000 for memory and at least 300,000 for logic.

Nov 9, 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 Demo

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