User research did not always look like Zoom calls, heatmaps, and analytics dashboards.

In this episode of HCI Explained, we trace how researchers studied people and technology from the 1980s to today. We explore the rise of usability labs, contextual inquiry, ethnographic fieldwork, remote testing during COVID-19, and the growing role of behavioural analytics in product design.

Along the way, we unpack why user research methods changed, what was gained, what was lost, and why modern UX teams increasingly combine interviews, observation, experimentation, and large-scale behavioural data.

If you have ever wondered:
• Why companies moved away from traditional usability labs
• How remote research changed the industry
• Why analytics alone cannot explain human behaviour
• How researchers choose methods today

…this episode is for you.

Whether you are new to HCI, a UX student, or an industry practitioner, this episode offers a practical and historical introduction to how user research evolved into what it is today.

Failure is not an edge case. It is part of every user experience.

In this episode, we unpack why designing for failure is essential in modern UX. From broken flows and system errors to unexpected user behaviour, the best products are not those that avoid failure, but those that handle it well.

We cover:

• What “failure” means in UX• Why most systems ignore failure states• How poor failure design breaks trust• Real-world examples (error messages, payments, AI systems)• Practical strategies to design resilient experiences

If you design only for success, your product will fail your users.
If you design for failure, your product earns their trust.

Modern technologies don’t always know, and pretending they do can be risky.

From AI predictions and recommendations to navigation and health apps, uncertainty is built into how many systems work. The real design challenge is not removing uncertainty, but helping people understand and work with it.

In this episode of HCI Explained, we explore what it means to design with uncertainty in Human–Computer Interaction.

We discuss:

• Why uncertainty is unavoidable in modern systems

• How hiding uncertainty can undermine trust and decision-making

• The difference between accuracy and confidence

• Design strategies for communicating uncertainty clearly

• Graceful failure, fallback options, and user agency

• Why uncertainty is a design condition, not a bug

💡 Good design doesn’t promise certainty. It helps people make informed decisions despite uncertainty.

👉 Tune in for a grounded discussion on trust, responsibility, and interaction design in an uncertain world.

#HCIExplained #DesigningWithUncertainty #HCI #UXDesign #Trust #AI #InteractionDesign

Good UX is meant to help users — but what happens when it doesn’t?

Many design patterns celebrated as “good UX” are optimised for engagement, speed, and convenience. Over time, these same choices can lead to overuse, manipulation, and loss of autonomy.

In this episode of HCI Explained, we examine how good UX can still cause harm, even when intentions are positive.

We discuss:

• Why usability and ethics are not the same

• How engagement-driven design can undermine well-being

• Persuasive patterns that look helpful but create dependency

• Why harm often emerges gradually rather than instantly

• The limits of metrics like engagement and retention

• Designer's responsibility beyond making things easy

💡 A design can be usable, elegant, and successful — and still be harmful.

👉 Tune in for a critical discussion on ethics, responsibility, and long-term impact in UX design.

#HCIExplained #UXEthics #DarkPatterns #PersuasiveDesign #HCI #UXDesign #ResponsibleDesign

Automation promises speed, efficiency, and scale — but it also raises a difficult question: how much control should humans give up?

As AI systems increasingly make decisions, take actions, and optimise outcomes on our behalf, issues of agency, responsibility, and trust move to the centre of Human–Computer Interaction.

In this episode of HCI Explained, we examine the tension between human control and automation, and why this trade-off is rarely simple.

We discuss:

• Why automation is so appealing — and where it breaks down

• Automation bias and over-reliance on intelligent systems

• Loss of agency, skill fade, and invisible decision-making

• Concepts like human-in-the-loop and shared control

• How design choices shift responsibility when systems fail

💡 The real question is not whether to automate, but how control is shared between humans and machines.

👉 Tune in for a grounded discussion on designing automated systems that keep humans meaningfully involved.

#HCIExplained #Automation #HumanControl #HCI #UXDesign #ResponsibleAI #InteractionDesign

Why do we trust some technologies and hesitate with others?

As AI systems become more autonomous, adaptive, and opaque, trust has become one of the most complex challenges in Human–Computer Interaction.

In this episode of HCI Explained, we unpack what trust really means in AI-driven systems and why traditional UX approaches often fall short.

We explore:

• What trust means in HCI, beyond usability and satisfaction

• How AI systems challenge trust through opacity, automation, and unpredictability

• Automation bias and over-reliance on intelligent systems

• Why “more explanation” does not always lead to more trust

• Design factors that shape trust: transparency, predictability, control, and accountability

• The idea of appropriate trust rather than maximum trust

💡 Trust is not something you add at the interface level. It emerges over time from how systems behave, fail, and take responsibility.

👉 Tune in for a grounded discussion on how designers and researchers can think more carefully about trust in an age of AI.

#HCIExplained #TrustInAI #HCI #UXDesign #ResponsibleAI #InteractionDesign

As we look beyond 2025, the question isn’t what will definitely happen, it’s what might become possible.

In this episode of HCI Explained, we explore what could be in store for technology in 2026, drawing on emerging signals, open questions, and unresolved tensions shaping the future of tech.

We discuss:

• Likely directions in AI, HCI, and product design

• Shifts in how people may interact with technology

• Opportunities and risks around ethics, regulation, and trust

• What designers, researchers, and tech leaders should prepare for

• Why uncertainty matters more than prediction

💡 This episode is not about forecasting. It’s about learning how to think responsibly about the future.

👉 Tune in for a grounded, reflective look at the possibilities that 2026 may bring.

#HCIExplained #FutureOfTech #Tech2026 #HCI #UX #TechnologyTrends

2025 was a defining year for technology, marked by major breakthroughs and equally notable missteps.

In this episode of HCI Explained, we examine the biggest tech successes and failures of 2025, delving beyond headlines to understand why some ideas were successful while others failed.

We cover:

• The most impactful tech successes and what made them succeed

• High-profile failures, flops, and controversies

• Overhyped technologies that didn’t deliver

• Key decisions around design, ethics, timing, and execution

• Practical lessons for designers, engineers, and product leaders

💡 This episode isn’t about winners and losers; it’s about learning how innovation actually succeeds or fails in the real world.

👉 Tune in for a clear, balanced reflection on what 2025 taught us about building technology responsibly and effectively.

#HCIExplained #Tech2025 #TechFailures #TechSuccess #ProductDesign #UX #TechnologyTrends

Want to find usability problems before they frustrate your users?
That’s where heuristic evaluation comes in — a quick, expert-based method that delivers powerful UX insights without needing large-scale testing.

In this episode of HCI Explained, we explore how heuristic evaluation works and why it’s a must-have in every UX toolkit:

• What heuristic evaluation is and how it helps spot usability issues.

• Nielsen’s 10 usability heuristics, explained with simple, real-world examples.

• Step-by-step process: gathering evaluators, reviewing the interface, logging problems, and prioritising fixes.

• Quick wins: fast, low-cost, and highly effective for improving user experience.

• Limitations: why expert judgment should complement, not replace, user testing.

💡 Heuristic evaluation is all about achieving quick wins in UX — making products more intuitive, consistent, and user-friendly from the start.

👉 Tune in to discover how you can apply heuristic evaluation today to improve your designs.

Ever tapped through an app and thought, who tested this?
That’s where usability testing comes in — one of the most practical and powerful methods in Human-Computer Interaction (HCI) and UX design.

In this episode of HCI Explained, we unpack the essentials of usability testing:

• What it is and why it matters

• Step-by-step process: setting goals, recruiting users, creating tasks, running sessions, and analyzing insights

• Best practices: test early and often, stay neutral, and keep it simple

• Common mistakes: leading participants, testing with too few users, or ignoring real-world context

• Examples in action: from apps to dashboards to VR headsets

💡 Usability testing helps us design products that are more intuitive, accessible, and enjoyable. And here’s the good news: it’s not just for big companies — anyone building an interface can do it.

👉 Tune in to learn how usability testing can transform the way you design and experience technology.

#HCIExplained #UsabilityTesting #UXResearch #HumanComputerInteraction