#humancomputerinteraction

[cartoonconnie]

Alexa therapy. New cartoon.

I don't actually have an Alexa ;)

[cartoonconnie]

Human-computer interaction. New cartoon.

https://www.instagram.com/p/Bu7EziEA58q/

[seattleru]

When Seattle’s 1962 World’s Fair ended, one “leftover” fountain quietly reshaped how our phones, computers and smart speakers respond to us 💧📱 Discover how dancing water taught machines to “feel” 👉 https://hyperlocalnews.website/wiki_en/the-fountain-that-taught-computers-to-dance.html

[startupmac]

The evolution of the computer mouse traces back to early experimental models that reshaped how humans interact with machines. From a wooden prototype to modern ergonomic designs, its history highlights innovation that shaped personal computing.

[marketresearchreportss]

Affective Computing Market: Impact of Technology on User Experience

The global affective computing market was valued at USD 62.53 billion in 2023 and is expected to grow to USD 388.28 billion by 2030, with a CAGR of 30.6% from 2024 to 2030. The rapid advancements in artificial intelligence (AI), machine learning (ML), and sensor technologies, along with a heightened focus on enhancing user experience, have driven market growth. Additionally, the increasing demand for sentiment analysis and emotional intelligence in customer service and marketing has prompted businesses to invest in affective computing solutions.

Various industries, including media and entertainment, advertising services, healthcare and life sciences, and IT & telecom, have begun adopting affective computing solutions to create more personalized user experiences. As technology continues to innovate, other sectors are anticipated to utilize affective computing techniques during the forecast period.

According to a report from the International Federation of Robotics, the demand for service robots is projected to surge in the near future, especially in critical fields like transportation, logistics, healthcare, and agriculture. Service robots play a significant role in hospitality, medical procedures, and other services where direct human interaction is common. By integrating affective computing solutions, these robots can enhance service operability and improve the user experience. Furthermore, rapid advancements in audio and visual sensor technologies have enabled a more personalized user experience in these service sectors.

Key Market Trends & Insights

• North America led the market with a revenue share of 40.1% in 2023. The region hosts numerous innovative and technologically advanced companies, including Affectiva, NuraLogix Corporation, and IBM, which significantly contribute to the affective computing industry.

• In 2023, the U.S. represented the largest share of the regional market. This is supported by the presence of various companies that have implemented affective computing solutions to enhance their business and maintain their competitive edge.

• In terms of components, hardware components captured the largest market share in 2023, driven by the rising demand for specialized emotion detection and analysis devices.

• Regarding end use, healthcare and life sciences held the largest market share in 2023. This is due to the increasing acknowledgment of the vital role emotional intelligence plays in patient care, diagnosis, doctor-patient communication, and treatment outcomes.

Order a free sample PDF of the Affective Computing Market Intelligence Study, published by Grand View Research.

Market Size & Forecast

• 2023 Market Size: USD 62.53 Billion • 2030 Projected Market Size: USD 388.28 Billion • CAGR (2024-2030): 30.6% • North America: Largest market in 2023 • Asia Pacific: Fastest growing market

Key Companies & Market Share Insights

Some prominent companies in the affective computing market include Affectiva, NuraLogix Corporation, and Cognitec Systems GmbH, among others.

• Affectiva is a software and AI solutions company that boasts a comprehensive dataset from over 90 countries, enabling it to develop precise deep learning algorithms. It offers various solutions, including ad testing, entertainment content testing through Emotion AI, qualitative research via its cloud-based service, the Emotion SDK, in-cabin sensing AI for the automotive industry, and behavioral research with iMotions solutions. In 2021, Affectiva was acquired by Smart Eye, a Swedish company specializing in AI technology solutions.

• NuraLogix Corporation is a Canadian company focused on affective AI solutions. It is recognized for its Anura application, which allows contactless health and wellness monitoring by detecting vital health signs from a 30-second facial video. This capability is made possible by its Transdermal Optical Imaging (TOI) technology, which captures facial blood flow information using a video camera. Additionally, the company provides a cloud-based platform called DeepAffex that employs machine learning models for health monitoring. NuraLogix is actively expanding the geographical reach of its Anura platform, having showcased it for the first time at the World IT Show 2024 in South Korea.

Key Players

• Affectiva • Apple Inc. • Cognitec Systems GmbH • Google LLC • IBM • Microsoft • NuraLogix Corporation • Qualcomm Technologies, Inc. • Realeyes • Sony Corporation

Explore Horizon Databook – The world's most expansive market intelligence platform developed by Grand View Research.

Conclusion

growth is driven by advancements in AI, machine learning, and sensor technologies, along with a rising demand for sentiment analysis in customer service and marketing. Various sectors, including media, healthcare, and IT, are increasingly adopting affective computing solutions for personalized The global affective computing market user experiences. Additionally, the demand for service robots is expected to rise in areas like transportation and healthcare, where integrating affective computing can enhance service quality and user satisfaction.

[gexotech]

Natural Language Processing (NLP): The Future of Human-Computer Interaction Introduction: Bridging the Gap Between Humans and Machines Ima

💬 Talking to Machines Just Got Real!

Imagine chatting with an AI that understands your jokes, sarcasm, and even typos. 😲 That’s the magic of Natural Language Processing (NLP)—the tech behind Siri, Google Translate, and ChatGPT!

📚 Inside the article:

How NLP bridges the gap between humans and machines.

Why your voice assistant sometimes completely mishears you (oops!).

The next big leap: Will AI master human emotions? 🎭

🔗 Discover how NLP is reshaping communication!

#NLP #AI #Chatbots #HumanComputerInteraction #TechInnovation #MachineLearning #FutureOfAI #LanguageTech #DigitalTransformation

[myserendipities]

"After OpenAI CEO Sam Altman bemoaned the massive additional costs of people saying "please" and "thank you" to ChatGPT, one New York Times reporter is making the case that it's worth the price. In a new piece, NYT culture writer Sopan Deb acknowledged that the financial and environmental toll of those additional few words can be substantial — but for the sake of our humanity, it may well be worth it. With chatbots integrating steadily into our lives, our relationships with these technologies that pose such existential threats to our labor — and perhaps our lives — have never mattered more. When discussing the subject with Massachusetts Institute of Technology sociologist Sherry Turkle, the researcher said that for all the "parlor tricks" that lend them the appearance of consciousness, chatbots are "alive enough" to matter for those who use them regularly. "If an object is alive enough for us to start having intimate conversations, friendly conversations, treating it as a really important person in our lives, even though it’s not, it’s alive enough for us to show courtesy to," Turkle told Deb. Despite that caveat, the MIT sociologist and bestselling author noted that chatbots don't care whether you "make dinner or commit suicide" after you step away from them. Per that line of thinking, an AI would also not "care" about how nice or rude we are to it — but there's a chance, if AI ever gains consciousness, that the situation could change. To George's mind, being polite to chatbots offers them the chance to "act like a living being that shares our culture and that shares our values and that shares our mortality" — though admittedly, that framework has its drawbacks. "We’re connected. We are in a reciprocal relationship. That's why we use those pieces of language," the playwright told the NYT. "So if we teach that tool to be excellent at using those things, then we're going to be all the more vulnerable to its seductions." Whether acting as a shepherd for AI's burgeoning humanity or simply being kind for kindness' sake, the cost of "pleases" and "thank yous" seems way lower in context — and hey, companies like OpenAI are footing the bill anyway." source: https://futurism.com/ai-politeness-argument

[centizen]

Human Computer Interaction

HCI or Human-Computer Interaction is, the study of how computers respond to human Interaction and how effective and meaningful of an Interaction it is. Computers initially were not considered friendly as they failed to pass the ease of access. However, over the past few decades, ease of access and design has changed the game of corp-giants all together.?

Its all in the perception.

Many would even today, complain about their computers/devices not being user – friendly enough. This is because there is no standard metrics as to what Interaction means. Interaction/friendliness of a device changes from person to person. Everybody has this concept of what something should mean & how it should be for them. Cultural, regional, lingual roles have a vast influence on these concepts they form & the standards they hold mentally.

No-matter HCI has been growing vastly & more popularly among its masses, experimenting on unimaginable aspects & providing new features & possibilities.

Day to Day life

Computers have permeated & intertwined in a manner that the human race has become completely dependent on its devices for petty to complex matters.

Goals of HCI

The goal of HCI would be to put aside the obvious human — machine dissimilarities and work in a productive manner, that we achieve a more precise & accurate goal in a lesser time than needed.

The whole theme of HCI is that people who use a system should come first — they shouldn’t have to change their approach just to use a device.

In other words, the goal of HCI towards a system should be to make it simple, useful & accessible.

Design

Design decides a product’s success. Also, the design allows users to tailor a product as per their needs. Like any other design, the HCI is fundamentally expected to have an empirical, reusable and iterative design. As the saying goes, Great design is good business. A good design is one which you create, test, deploy, analyse & reiterate the process that eventually lets you perfect the design.

Although there are a lot of methodologies, a few popular practices while designing HCI are Activity theory, User Centered Design, Value Sensitive Design, participatory design.

Usability Testing

Usability Testing is carried out on a developed product, kept under observation for a definitive period of time, provided suitable conditions so that we can understand how effective of a product it can be for humans.

Who can benefit from HCI?

Businesses

HCI should be a consideration for any business that uses devices & computers on a daily basis. HCI can cut short manual time for processing, ensures security etc.,

Everyone

Everyone who uses a system even if they don’t personally own a system. As society has become more gravitated towards technologies, common use of ATM’s, vending machines, escalators to name a few, it is only befitting to develop a system that benefits them.

Conclusion

In today’s computer/technology-driven world, the real issue is not the system or the devices the masses use, it’s in the communication & perception of the designer and the front-end user or due to the deficiency in the user-centered design. The reason is not that there are no definitive HCI employed designs but the fact that HCI has not been incorporated properly. My suggestion would be that activists or people who are in to make a change, this is a challenge, close the bridge of unfamiliarity between users and designers and introduce HCI on a wider and a more approachable level.

This involves handling opposite sides of the thinking sphere, how to design and how to interact without losing control and keeping the interaction relative. This raises the next question of how it can be done, the answer to that would be HCI requires a faster understanding & analyzing technique that should incorporate what the human race believes & prioritizes in the forthcoming technologies. And to catch up we should do this at a faster rate as there is a lot more to be done.