How does AI impact human-computer interaction?

Modern AI requires us to re-examine, Human-Computer Interaction. Over a short period of time, language models have presented a unique endpoint for interacting with software. An interesting question is, where does prompt engineering fit in this equation?

When we reflect on the intersection of AI and HCI, Digital Adoption Platforms (DAP) emerge as a crucial component. DAPs, by their very nature, are designed bridge the gap between human and computer interactions through digital experiences. Think about it - everyone is rushing to implement AI tech and wants to be agile but on the flip side scared to death about compliance and privacy and data leakage. The age of Digital Adoption platforms has just begun IMHO.

The intertwining principles of usability, user-centered design, and empirical testing unite AI and HCI. While they both strive for adaptive systems, AI and HCI diverge in aspects like autonomy, transparency, and ethical considerations, shaping the evolution of technology and human interaction

HCI enables us to better understand how the use of the AI capability is perceived by the end user and external factors who are observing the use of the solution in the ecosystem.

If AI is set to mimic and enhance human intelligence through direct interaction it requires a presentation & experience layer that entices a continuous dialogue that puts humans, simplicity and good usability at the centre.

A good example to apply a combination of both AI & HCI is building out Learning Experiences which considers learning goals and preferences and embark users on a gamified journey including course material, quizzes and challenges.

The synergy between AI and HCI presents transformative possibilities across domains. In education, AI-driven personalized learning and feedback reshape pedagogy. In healthcare, AI augments diagnosis and treatment suggestions, revolutionizing patient care. Immersive experiences powered by AI redefine entertainment and education, while in the workplace, AI streamlines tasks, elevates productivity, and fosters seamless collaboration. However, this integration raises concerns about privacy, ethics, and the potential loss of the human touch. Striking a balance between technological advancement and preserving human values is paramount for maximizing AI's positive impact.

The synergy between AI and HCI presents challenges stemming from human complexity and diverse environments. AI must navigate unpredictable human behavior, linguistic nuances, and emotions. Respecting user privacy and consent, while accommodating cultural and ethical norms, is paramount. Striking a balance between efficiency, accuracy, and fairness poses another hurdle. Conquering these challenges demands an intricate interplay of technological advancement and ethical consideration within the AI-HCI landscape.

Even though AI (Artificial Intelligence) and HCI (Human-Computer Interaction) are there from last 20 years and both of them are closely intertwined fields which present a variety of challenges in front of us. Our AI systems needs to be designed to cater to a diverse range of users with different cultural backgrounds, languages. We need to make sure we include inclusivity, causality and avoiding biases in any AI interactions. Which is actually complex challenge.

We are currently engaged in an AI arms race where, although we superficially address HCI aspects such as usability, we neglect more crucial architectural elements of HCI. These include distributing AI systems, implementing AI operations on the edge, and allowing users to tailor their AI agents' value systems to individual ethical standards. Open source models are critical in ensuring that AI doesn't become monopolized by one or just a few companies, which would otherwise serve the world through proprietary APIs.

The convergence of AI and HCI presents opportunities for innovation and empowerment. AI-driven interactions like voice and gesture open new vistas, enriching user experience. Creative domains like art, music, and storytelling benefit from AI's generative capabilities. Empowerment blooms as users co-create and personalize systems. Furthermore, AI harnesses collective intelligence, tapping into user and community wisdom. However, these advances require vigilant consideration of potential ethical, privacy, and accessibility concerns to ensure that technology uplifts rather than marginalizes.

When implemented properly, both AI and HCI should empower users to own their data and control how it's shared, with services accessed only through explicit user consent. Users should be able to customize the value systems and priorities of their AI agents. These agents should then be capable of interacting and negotiating with AI systems owned by other individuals and companies. Ultimately, AI should function as a trusted assistant that aligns with each user's individual preferences and values, rather than as a tool that inadvertently or intentionally imposes external value systems.

Imagine a world where our devices don't just wait for commands but truly understand and anticipate our needs. AI is not just changing the way we interact with computers; it's forging a bond. Through the magic of natural language processing, our conversations with machines are becoming as fluid as those with a friend. Every click, every voice command, every gesture is a lesson, teaching AI to tailor experiences uniquely for us. In this evolving landscape of human-computer interaction, AI is not just a tool; it's a companion, bridging the gap between silicon and soul.

If we are honest with ourselves we are still struggling with how humans are evolving and influencing each other so to discuss the relationship between humans and machines in this regard can really only be effective if we work to further align human values, goals and visions of our systems and our society because there is not universal truth to those concepts now.

Couldn’t agree more but with the speed the AI is evolving, it’s also Important the “consumers” of AI known or unknown should adopt this era of change .. it’s already here around us. We are experiencing more n more devices are connected with each other, 5G expansion and need to collect autonomous data , is helping Ai to get trained and learn from new human design scenario.. world of opportunity is here and all of us have to take some calculative and informed risk for raising the adoption as well as awareness.

One of my biggest learnings has been transitioning from absolute values (e.g. 97% confident) to broader categories (e.g. ⭐️, ⭐️⭐️, ⭐️⭐️⭐️ or 🔴🟡🟢) to denote accuracy, quality, or urgency that a user needs to know. “Is 97% good or bad? How much better is 98%? How can I tell?” we’re some of the questions I got from pilot users. So, understanding your users and the information need to make a decision is critical for adequate design and HCI/ user experience.

AI has significantly transformed human-computer interaction by enabling more intuitive and personalized experiences. Natural language processing allows users to communicate with devices using speech or text, making interactions more natural. AI-powered recommendation systems enhance user engagement by suggesting relevant content, and gesture recognition and facial detection open up new modes of interaction beyond traditional interfaces. Overall, AI has elevated the efficiency, personalization, and accessibility of human-computer interaction.

I dream of a future where AI and HCI redefine the essence of work. Today, we find ourselves in meetings, attending conferences, and chatting on phones, with the actual human-computer tasks unfolding afterward. Now, picture a world where the very act of conversation is the work. Today conversational AI can assist work. Imagine conversation catalysts that do the work. Where intelligent AI systems actively listen to our discussions and take action instantly. In this new era, human-to-human (H2H) interactions directly, drive results.