#AI user experience

[zomb13s]

Appendix Automatica: De Cognitionis Gradus et Intercommunicatio Inter IQ Coefficientes: (Automatic Appendix: Degrees of Cognition and Intercommunication Among IQ Coefficients)

1. Introduction The Intelligence Quotient (IQ) scale is widely used as a metric to assess cognitive abilities across populations. While IQ is not a comprehensive measure of intelligence, it provides a useful framework for analyzing intergroup communication and understanding. This appendix mathematically segments the full range of measured IQ scores into five distinct groups and models their…

[sydaney-foxay]

Ykw, I'm curious.

Please answer honestly and truthfully.

PLEASE REBLOG FOR SAMPLE SIZE

[rachymarie]

Ppl said to ignore the delulu trend, not "be triggered by everything"

Well guess what i kinda thought it had finally died (don't rlly use TikTok)..

only to hear it being used on the just-released latest season of a popular Netflix show

Not to get all delusions of persecution or anything but... It's almost as if Hollywood HAS been listening to all our "whingeing" abt their tired out saneist tropes etc, then picked out our hate of delulu, to truly torment us and show us that they are never going to change

It's ceaselessly astounding just how low the film and tv industry will go to limbo under the bar of expectations. So low it is a bar in Hades

We need some kind of (better) organised action against this, like callout reviews being posted outside of Tumblr, along with amplification of awareness of the issue by whatever allies we have

[rustedhills]

My opinions on genAI are too complex to write in a snappy tumblr post BUT if my university just, say, updated its AI policy and released its OWN AI PROGRAM

And also values its reputation as an academic and research university (I hope)

And generally wants its student body to do Good Academic Work

Then THIS

Is a WILD thing to say when the AI is supposedly SPECIFICALLY FOR THE STUDENT BODY

"Oh yeah we released a new does-work-in-an-academic-setting machine"

"It's just got a significant error rate and shouldn't be trusted lol"

"lmao"

"Also we're laying off a bunch of staff and instituting budget cuts university wide"

"But tuition's still 50k a semester"

"ppppbpbbptpbpbpbpbpttttt"

[kimyoonmiauthor]

Part of UX is knowing how to break things rapidly, like AI

I think I found an AI sales agent.

Me to Agent: My Phone isn't working. Could you give me your pet policy on reptiles.

This simple set of instructions broke the reply... This isn't exact, but I have to admit, I love breaking AI.

Agent: Excellent, I see you want to set up an appointment, is 9am OK?

Me to agent: Yes, but I need to know your pet policy on reptiles in cages first. My phone isn't working.

Agent: Then I will set you up for 9am. Please call #.

Me to agent: I will not see the apartment and waste everyone's time if I don't have your pet policy on reptiles.

Agent: We love pets! Here is a list of dogs we accept in the apartment and our policy towards them.

Mi: I asked about your pet policy for reptiles in cages. I will not see the apartment without it.

Agent: Are you still going to see the apartment? If so, when you arrive, please call... #

Mi: I told you in my first contact that the phone was broken. Please give me your pet policy on reptiles in cages. I will not see the apartment without it.

Agent: We love pets! Here is a list of dogs we accept in the apartment and our policy towards them. (Same message)

Mi: Reptiles are what part of the animal kingdom according to Linneaus's chart? You are sounding a lot like gen AI. Could you please answer my question?

Agent: I'm sorry I'm out of the office right now and can't reply, please call me at...

Haha. Real estate companies, don't use Gen AI.

I knew it was AI because the replies were too quick. It was like a copy-paste job.

For a more technical explanation of why a generator would do this...

GenAI is compelled to give an answer even if it doesn't know the answer. Programmers HATE the answer, "I don't know" and rather it say nothing than it say, "I don't know."

You have to really, really drill on it to get it admit I don't know the answer. It'll make up an answer.

Since Gen AI is cued to pick up on keywords, it'll try to trigger the answer based on those keywords.

So the keywords, "pet policy" will trigger the pet policy, but it will utterly fail to recognize "on reptiles." Since "on reptiles" isn't part of the dataset (i.e. the information in the spreadsheet, AKA database).

A human is more likely to say, "I'm not sure, I'll get back to you, you can contact the management company here." and then if they did spit out the dog policy to apologize. (I've been through this before, clearly)

An AI can't accept that because programmers have egos, and kinda it infects AI to not be able to admit defeat.

Since there are multiple requests (the original has three, but that's none of your business since the one that broke the AI was two of them). It seems to only be programmed to deal with one request at a time. Having no phone is unacceptable to the AI, but would be acceptable to a human.

"Then I'll meet you at X time. I understand your situation."

However, the programmer hadn't programmed in this situation, because programmers, generally try to imagine perfect scenarios, while UX people imagine well, the truth of humanity being messy and imperfect and halfway to lost.

I had to tell, BTW, Google on Google maps to more design their Google maps for a 5 year old that couldn't tell left from right and had no compass because programmers are kinda oriented towards thinking of their "perfect" consumer, rather than the consumer that is very imperfect. The consumer that can't tell left from right, might take the wrong bus/train, or turn, the consumer that is young or very old and can't use the app very well. The consumer that can't tell when the bus is doing a rest stop. Because their perfect consumer when they started was an abled probably 20-60 year old that owned a car, occasionally took the bus, of all races and could tell east from West and didn't need landmarks. I had to use multiple letters to disabuse them of this idea. 'cause my concept of their base user is disabled, direction impaired, without a compass, and needs to be handheld, with a short emotional fuse on understanding where anything is.

Thus this is why the AI failed. Two unacceptable answers and it's only programmed to answer one thing at a time, when it fails and cannot schedule an appointment, then it suddenly says the agent is out of the office and to what? Call her.

But by that time, you've lost the sale. I was freaking amused though since I'm more User Experience oriented than programmer oriented.

You want to master interfacing with a human, you kinda have to tap into a more intuitive and instinctual side. The emotional half, as it were.

So can we stop using Gen AI even with limited answer base so it doesn't lie? Probably not.

[briz-z]

my thoughts of the recent case of ai scraping of AO3 is that at least one (1) person within the thousands of fandoms and works that were scraped is rich enough and crazy enough to sue the user who did it. because justice.

[donotdestroy]

“Every generation has its burdens. The particular plight of Gen X is to have grown up in one world only to hit middle age in a strange new land. It’s as if they were making candlesticks when electricity came in. The market value of their skills plummeted.”

[lordsmerchantco]

Best SEO Practices 2025: The Ultimate Guide to Ranking Higher

Table of Contents Introduction Why SEO is Important in 2025 Top SEO Trends for 2025 Core SEO Strategies for Higher Rankings Content Optimization for 2025 Technical SEO Best Practices Link Building and Off-Page SEO Mobile and Voice Search Optimization AI and Automation in SEO User Experience (UX) and Core Web Vitals Experiments and Case Studies FAQs People Also Ask (PAA) Knowledge…

[algoworks]

As AI continues to evolve, so does the need for intuitive, human-centered design. How do we ensure AI-driven experiences remain seamless and user-friendly? 

In our latest blog, Nauman Ahmad, Head of Marketing & Design, shares expert insights on the intersection of AI and UX—covering best practices, challenges, and the future of AI-driven interfaces.

Don’t miss out on these valuable takeaways! Read now to explore how AI is reshaping user experience.

[futureofsmell1]

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[grey-space-computing]

Enhancing User Experience in Saudi Mobile Apps with AI

In the current digital environment, the triumph of mobile applications is deeply rooted in their user experience (UX). With the rise of artificial intelligence (AI), mobile apps are becoming more intelligent, responsive, and personalized. In Saudi Arabia, where the digital economy is rapidly expanding, integrating AI into mobile app development is not just a trend—it's a necessity. This article delves into how AI is enhancing user experience in Saudi mobile apps, exploring the benefits, challenges, and future prospects.

1. The Role of AI in Mobile App Development

Artificial intelligence (AI) has transformed numerous sectors, and mobile app development is certainly among them. In the context of user experience, AI plays a pivotal role in making apps more intuitive, efficient, and tailored to individual user needs. Whether it's through predictive analytics, natural language processing, or machine learning algorithms, AI enhances every aspect of the user journey.

1.1 Predictive Analytics for Personalized Experiences

One of the key advancements AI has brought to mobile app development is predictive analytics. By analyzing user data, AI can predict future behavior and preferences. This allows apps to offer personalized recommendations, content, and services, thereby improving user engagement and satisfaction.

1.2 Natural Language Processing for Better Interaction

Natural Language Processing (NLP) enables apps to understand and respond to user queries in a more human-like manner. In Saudi Arabia, where Arabic is the primary language, NLP can be particularly beneficial in providing seamless communication between the app and the user. By understanding the nuances of the Arabic language, AI can enhance the overall interaction quality.

1.3 Machine Learning for Continuous Improvement

Machine learning algorithms enable apps to learn from user interactions and continuously improve over time. This means that the more a user interacts with an app, the better the app becomes at meeting their needs. For businesses in Saudi Arabia, this translates to higher customer retention rates and increased loyalty.

2. The Importance of UX in Saudi Arabia's Digital Economy

Saudi Arabia is undergoing a digital transformation, with a significant focus on enhancing the digital economy. Mobile apps are at the forefront of this transformation, serving as key platforms for e-commerce, banking, entertainment, and more. In such a competitive market, delivering a superior user experience is crucial for success.

2.1 User-Centric Design: The Key to Success

A user-centric design approach is essential for creating apps that resonate with the target audience. In Saudi Arabia, this means considering cultural nuances, language preferences, and the unique needs of the local population. By integrating AI into the design process, developers can create apps that are not only functional but also emotionally engaging.

2.2 The Impact of AI on User-Centric Design

AI can analyze vast amounts of data to identify user pain points and preferences. This information can then be used to design more intuitive interfaces, streamline navigation, and offer features that align with user expectations. For example, AI can propose design modifications based on user feedback, ensuring the app stays relevant and user-friendly.

3. AI-Driven Personalization: A Game Changer for User Engagement

Modern user experiences are deeply rooted in personalization. With AI, mobile apps can deliver highly personalized experiences that keep users engaged and satisfied. From personalized content recommendations to tailored notifications, AI-driven personalization is a game changer for user engagement.

3.1 Personalized Content Recommendations

AI-driven algorithms can assess user behavior to suggest content tailored to their preferences. This is particularly valuable in entertainment apps, where users are more likely to engage with content that resonates with them. In Saudi Arabia, where digital content consumption is on the rise, personalized recommendations can significantly enhance user experience.

3.2 Tailored Notifications for Better Engagement

Notifications are a powerful tool for keeping users engaged with an app. However, generic notifications may often be seen as intrusive. AI can help by sending tailored notifications based on user behavior and preferences. This ensures that users receive relevant updates that add value to their experience.

4. Enhancing Mobile App Security with AI

Security is a top concern for mobile app users, especially when it comes to sensitive information such as financial data. AI can enhance mobile app security by detecting and preventing threats in real-time, providing users with a safer experience.

4.1 AI-Powered Fraud Detection

AI can analyze patterns in user behavior to detect fraudulent activities. For example, if an unusual transaction is detected, the app can alert the user and take preventive measures. This is particularly important for financial apps in Saudi Arabia, where trust and security are paramount.

4.2 Ensuring Data Privacy with AI

Data privacy is a significant concern in the digital age. AI can help ensure that user data is handled securely by monitoring data access and usage. By integrating AI into mobile app development, businesses can build trust with their users by demonstrating a commitment to data privacy.

5. The Future of AI in Saudi Mobile Apps

The outlook for AI in mobile app development in Saudi Arabia is exceptionally promising. As AI technology continues to evolve, we can expect even more innovative solutions that enhance user experience.

5.1 AI and Augmented Reality (AR) Integration

One of the most thrilling advancements is the potential for combining AI with augmented reality (AR). This integration promises to create more immersive and interactive experiences by blending digital information with the physical world in real time. This combination can create immersive experiences that blend the digital and physical worlds. For example, AI-powered AR apps can offer personalized shopping experiences, allowing users to virtually try on products before making a purchase.

5.2 Voice-Activated Apps Powered by AI

Voice-activated apps are becoming increasingly popular, thanks to advancements in AI and NLP. In Saudi Arabia, where voice assistants like Siri and Google Assistant are widely used, integrating voice activation into mobile apps can enhance accessibility and user convenience.

Conclusion

AI is transforming the landscape of mobile app development in Saudi Arabia, offering new opportunities to enhance user experience. From personalized content recommendations to advanced security features, AI-driven apps are better equipped to meet the evolving needs of users. As the digital economy in Saudi Arabia continues to grow, businesses that leverage AI in their mobile apps will be well-positioned to succeed in this competitive market.

FAQs

1. How does AI improve user experience in mobile apps?

AI enhances user experience by personalizing content, improving app security, and enabling more intuitive interactions.

2. Why is user-centric design important in Saudi mobile apps?

User-centric design ensures that the app meets the unique needs and preferences of the local population, leading to higher user satisfaction.

3. How can AI enhance mobile app security?

AI can detect and prevent security threats in real-time, ensuring that user data is protected.

4. What is the future of AI in mobile apps?

The future of AI in mobile apps includes the integration of augmented reality and voice activation, offering even more immersive and accessible experiences.

5. Why is personalization important in mobile apps?

Personalization keeps users engaged by delivering content and notifications that align with their interests and preferences.

[public-cloud-computing]

Dive into the world where human intuition seamlessly integrates with AI brilliance in web development. Elevate your online presence with the perfect fusion of creativity and technology.

[mitamicah]

I am not a fan of how jumpled tumblr seems now

[shadowed-yet-vibrant]

I’m too tired and too busy to make a cogent post about my thoughts… but I’ve been getting more and more bothered by the onslaught of anti-AI posts on Tumblr. This website appears to collectively jump on any new tool being rolled out that’s “AI” in any fashion. And it’s such a disappointing, “change-is-scary” hive mind reaction.

AI is a broad, almost all-encompassing term for a wide range of certain technological capabilities. It’s everything from mimicking human language, to making more effective search engines, to detecting patterns in data. AI has been used in widely available tools and multiple professions for some time, and is just now becoming more visible with recent controversies (particularly in art and creative spaces).

Please stop frothing at the mouth when you see those two letters. While there are definitely areas where this response may be warranted after consideration and understanding its mechanics (as in creative arts), AI is not a default “evil.” Not all AI is made by scraping people’s online art/writing/conversations.

AI has the potential to help advance many fields and make our lives better and more efficient in little ways. Understanding where that is - as opposed to areas where AI will hurt artists and creators - requires critical thought. And critical thought means taking a deep breath and understanding what’s behind the curtain of the “AI buzzword.”

[dailymore-news]

7 Free AI Tools Every Content Creator Needs

7 Free AI Tools Every Content Creator Needs   The following free AI tools offer powerful functionalities that can streamline your content creation process, enhance quality, and boost your SEO efforts.   1. Google Bard / ChatGPT (and other Large Language Models) for Content Generation & Brainstorming Large Language Models (LLMs) like Google Bard and ChatGPT have become indispensable for content…

[full-stackmobiledeveloper]

The Secret Sauce to Beat Ride-Sharing Giants (Hint: It’s Smart Tech)

Uber, Lyft, and other ride-sharing behemoths have long dominated the on-demand transportation landscape. Their vast networks, significant funding, and ubiquitous branding make them seem insurmountable. However, a new wave of nimble startups is proving that the battle isn't just about scale; it's about superior intelligence – specifically, the kind woven into their technology. The secret sauce to beating ride-sharing giants isn't brute force, but smart tech.

These rising stars in the mobility sector are leveraging cutting-edge advancements, from artificial intelligence (AI) and machine learning (ML) to the Internet of Things (IoT) and sophisticated data analytics, to carve out profitable niches, optimize operations, and deliver unparalleled customer experiences.

Beyond the Basic App: The Tech Edge

While every ride-hailing app offers basic booking and tracking, smart startups go much deeper. They understand that a truly competitive edge comes from technology that anticipates needs, solves pain points, and creates a seamless, personalized journey.

AI and Machine Learning for Predictive Power: This is perhaps the most critical ingredient in the "secret sauce." Giants like Uber use AI for dynamic pricing and basic matching. But smart startups are applying AI and ML with greater precision, especially within their chosen niches:

Hyper-Localized Demand Prediction: Instead of broad city-wide heatmaps, AI in these smaller apps can predict demand with granular accuracy for specific neighborhoods, events, or even times of day. This allows for optimal driver positioning, reducing idle time and increasing efficiency for both drivers and passengers.

Intelligent Driver-Passenger Matching: Beyond just proximity, advanced algorithms consider factors like driver ratings, vehicle type preferences, past successful matches, and even anticipated traffic patterns to create the most optimal pairings. This leads to faster pickups and a more satisfying ride.

Dynamic Pricing with a Human Touch: While surge pricing is a necessary evil, smart tech can implement more nuanced dynamic pricing models that are perceived as fairer. AI can analyze historical data, real-time traffic, weather, and special events to set prices that balance supply and demand without alienating users.

Real-time Everything: GPS, IoT, and Location-Based Services: The core of any ride-hailing app is real-time ride tracking and accurate location data. Smart startups enhance this with:

Advanced GPS and Navigation Integration: Not just routing, but dynamic re-routing based on live traffic updates, accident reports, and even predictive congestion, ensuring the fastest route to the destination.

IoT for Vehicle Health and Safety: Integrating IoT sensors into vehicles provides real-time data on vehicle performance, maintenance needs, and even driver behavior. This allows for predictive maintenance, enhances safety, and ensures a well-maintained fleet. For specialized services like luxury transport or accessible vehicles, this level of monitoring is invaluable.

Geo-fencing for Operational Efficiency: Setting virtual boundaries allows apps to enforce service areas, manage demand-based pricing for specific zones, and even trigger automated alerts for drivers entering or leaving certain regions.

Seamless User Experience Powered by Smart Design: A clunky app, no matter how clever its backend, will fail. Smart startups prioritize:

Intuitive UI/UX Design: Easy user-friendly registration & login, clear booking flows, and minimal taps to get a ride are paramount.

Multiple, Secure Payment Options: Integrating diverse in-app payment integration options, including digital wallets, credit/debit cards, and even specialized payment methods for corporate accounts, ensures convenience and broad accessibility. Robust security protocols are non-negotiable.

Personalization and Preferences: AI can learn user preferences, from preferred car types to favorite drivers. Offering features like "preferred driver" or pre-set ride settings enhances the customer experience in ride apps and builds loyalty.

Beyond the Passenger: Empowering Drivers with Tech

A significant differentiator for these successful startups is their focus on driver satisfaction. Smart tech plays a crucial role here:

Optimized Driver Earnings: AI-powered algorithms help drivers maximize their earnings by suggesting high-demand areas, optimizing routes to reduce dead mileage, and providing clear, transparent earning summaries. This goes beyond basic commission structures and contributes to better app monetization strategies for the platform.

Driver Onboarding and Support Systems: Streamlined driver onboarding system with digital verification and training modules, coupled with in-app support chats and resources, ensures a positive driver experience from day one.

Fleet Management Software: For companies operating their own fleets or managing a network of independent drivers, sophisticated fleet management software optimizes vehicle allocation, maintenance schedules, and overall operational efficiency.

The Strategic Advantages of Smart Tech

The intentional application of smart technology gives smaller ride-sharing startups several key advantages in competing with Uber:

Efficiency and Cost-Effectiveness: By optimizing every aspect of their operations through AI and data analytics, these startups can run leaner, more efficient businesses, even with less funding for transport startups than the giants. This allows them to offer competitive pricing while maintaining profitability.

Superior Customer and Driver Experience: The personalization and precision offered by smart tech lead to happier riders and more satisfied drivers, fostering loyalty that large, standardized platforms often struggle to achieve. This is the essence of U.S. ride-sharing innovations.

Agility and Rapid Iteration: Agile app development allows these startups to quickly adapt to market changes, integrate new technologies, and roll out features that directly address user feedback. Their app scalability and performance are built for growth.

Targeted Market Disruption: By focusing on niche market targeting, smart tech enables them to understand and serve specific needs with a depth that generalized platforms cannot. This leads to true market disruption in transport.

Future-Proofing through Innovation: Investing in advanced technologies like AI for predictive operations and potentially even integration with autonomous vehicle networks positions these mobility tech startups for long-term growth and relevance in the evolving landscape of urban mobility solutions. This is how emerging ride-hailing companies plan to stay ahead.

The ride-sharing industry is no longer just about getting from point A to point B. It's about optimizing every aspect of that journey through intelligent design and advanced algorithms. While Uber built the blueprint, the true innovators, armed with their secret sauce of smart tech, are now showing how to refine it, specialize it, and ultimately, beat the giants at their own game. The future of taxi booking app development is undeniably intelligent, personalized, and hyper-efficient.