A Google Slides extension could make presentation tool extra available for blind customers

A Google Slides extension can make presentation software more accessible for blind users

A workforce led through researchers on the College of Washington created A11yBoard for Google Slides, a browser extension and get in touch with or pill app that permits blind customers to navigate advanced slide layouts, gadgets, pictures, and textual content. Right here, the person demonstrates the contact display screen interface. Credit score: College of Washington

Display screen readers, which convert virtual textual content into sound, could make computer systems available to many customers with disabilities, together with those that are blind, visually impaired, or have dyslexia. On the other hand, slide display tool, similar to Microsoft PowerPoint and Google Slides, isn’t designed to make display screen reader output coherent.

Such systems in most cases depend on Z-ordering — which follows the best way gadgets are layered on a slide — when a display screen reader navigates during the contents. As a result of Z-arrangement does now not adequately put across how a slide is situated in 2D area, slide display tool will not be available to folks with disabilities.

A workforce led through researchers on the College of Washington created A11yBoard for Google Slides, a browser extension and get in touch with app that permits blind customers to navigate advanced slide layouts and textual content. By way of combining a desktop laptop and a cellular software, A11yBoard permits customers to paintings with voice, contact, gesture, speech reputation, and seek to grasp the place other gadgets are positioned on a slide and animate the ones gadgets to create wealthy layouts. For instance, a person can contact a textual content field at the display screen, and a display screen reader will describe its colour and place. Then, the usage of a voice command, the person can shrink this newsletter field and align it left with the slide identify.

The workforce offered their analysis on October 25 at ASSETS 2023 in New York. A11yBoard isn’t but to be had to the general public.

“For a very long time or even now, accessibility has frequently been regarded as: ‘We are doing a just right task if we permit blind folks to make use of fashionable merchandise.’” “Unquestionably,” stated senior writer Jacob O. Woubrock, a UW Professor within the College of Data. It is a precedence.” “However this is handiest part of our function, as a result of that handiest way permitting blind folks to make use of what others create. We wish to empower folks to create their very own content material, past a PowerPoint slide this is only a identify and a textual content field.”






A11yBoard for Google Slides is in accordance with a chain of analysis performed within the Wobbrock Lab exploring how blind customers engage with “forums” — virtual canvases on which customers paintings with gadgets similar to textual content bins, shapes, pictures, and charts. The slideshow tool is in accordance with a chain of those artboards.

When lead writer Zhuohao (Jerry) Zhang, a doctoral pupil within the iSchool on the College of Wisconsin, joined Wobbrock’s lab, the 2 sought to discover a method to accessibility flaws in creativity equipment, similar to slideshow tool. Development on earlier analysis through Wobbrock’s lab at the issues blind folks face the usage of artboards, Wobbrock and Zhang offered a prototype of the A11yBoard in April. They then labored to create an answer which may be deployed thru present tool, and settled at the Google Slides extension.

For the present paper, the researchers labored with co-author Jin S. H. Kim, a Stanford undergraduate who’s blind, to strengthen the interface. The workforce examined it with two different blind customers, asking them to recreate the slides. Each testers famous that A11yBoard a great deal progressed their talent to grasp visible content material and create slides themselves with out consistent iteration with collaborators; They simply had to have interaction a sighted assistant on the finish of the method.

Testers additionally highlighted issues of growth: staying continuously acutely aware of object positions whilst seeking to edit them used to be nonetheless a problem, and customers have been pressured to accomplish each and every motion for my part, similar to aligning a couple of visible teams from left to proper, somewhat than finishing those repeated movements on a unmarried foundation. Bills. Given how Google Slides works, the present model of the app additionally does not permit customers to undo or redo edits throughout other units.

In the end, the researchers plan to unlock the app to the general public. However first they plan to combine a big language style, similar to GPT, into the tool.

“This may probably assist blind folks compose slides extra successfully, the usage of herbal language instructions like ‘align those 5 squares the usage of their left edge,’” Zhang stated. “Whilst an accessibility researcher, I am at all times amazed at how inaccessible those are.” Commonplace equipment. So, with the A11yBoard, we got down to alternate that.”

additional information:
Zhuhao Zhang et al., advanced and deployed a real-world answer for simple slide studying and composing for blind customers, twenty fifth ACM SIGACCESS Global Convention on Computer systems and Accessibility (2023). doi: 10.1145/3597638.3608418

Supplied through the College of Washington

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Hyundai holds tool improve clinics throughout the USA for automobiles centered by way of thieves

Hyundai holds software upgrade clinics across the US for vehicles targeted by thieves

A recovered 2012 Hyundai Elantra is proven in Berkeley, California, after it was once stolen in early October 2023. Thieves centered Hyundai and Kia automobiles that have been constructed with out engine immobilizers, a well-liked anti-theft generation that has lengthy been same old on different automobile fashions. Now, Hyundai stated it’s going to arrange “cellular clinics” in 5 U.S. places to offer anti-theft tool upgrades to automobiles ceaselessly centered by way of thieves the use of a method popularized on TikTok and different social media platforms. Picture credit score: AP Picture/David Hamilton

Hyundai stated Wednesday it’s going to arrange “cellular clinics” at 5 U.S. places to offer anti-theft tool upgrades to automobiles ceaselessly centered by way of thieves the use of a method well-liked on TikTok and different social media platforms.

The South Korean automaker will dangle the clinics, which is able to run for 2 to 3 days on or round weekends, in New York Town; chicago; Minneapolis; St. Paul, Minnesota; Rochester, New York. The clinics will happen between October 28 and November 18.

Hyundai stated it’s going to additionally strengthen regional one-day dealer-run clinics sooner than the tip of 2023, regardless that it didn’t specify places or dates.

The automaker indexed the affected automobiles because the 2018-2022 Accessory, 2011-2022 Elantra, 2013-2020 Elantra GT, 2013-2014 Genesis Coupe, 2018-2022 Kona, 2020-2021 Palisade, 2013-2022 Santa Fe, and 2013 Santa Fe Game. -2018, Santa Fe XL 2019, Sonata 2011-2019, Tucson 2011-2022, Veloster 2012-2017 and 2019-2021, and Venue 2020-2021.

Robbery charges of affected automobiles rose after thieves found out that those fashions lacked engine immobilizers, anti-theft generation that had lengthy been same old on different automobiles.

  • A recovered 2012 Hyundai Elantra is proven in Berkeley, California, after it was once stolen in early October 2023. Thieves centered Hyundai and Kia automobiles that have been constructed with out engine immobilizers, a well-liked anti-theft generation that has lengthy been same old on different automobile fashions. Now, Hyundai stated it’s going to arrange “cellular clinics” in 5 U.S. places to offer anti-theft tool upgrades to automobiles ceaselessly centered by way of thieves the use of a method popularized on TikTok and different social media platforms. Picture credit score: AP Picture/David Hamilton

  • A recovered 2012 Hyundai Elantra is proven in Berkeley, California, after it was once stolen in early October 2023. Thieves centered Hyundai and Kia automobiles that have been constructed with out engine immobilizers, a well-liked anti-theft generation that has lengthy been same old on different automobile fashions. Now, Hyundai stated it’s going to arrange “cellular clinics” in 5 U.S. places to offer anti-theft tool upgrades to automobiles ceaselessly centered by way of thieves the use of a method popularized on TikTok and different social media platforms. Picture credit score: AP Picture/David Hamilton

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The instrument device can in finding and observe transferring gadgets as small as pixels

The software system can find and track moving objects as small as pixels

Sandia Nationwide Laboratories’ Multi-Body Transferring Object Detection Gadget lets in faraway sensors to come across small transferring gadgets which might be generally invisible to each sensors and the human eye. Credit score: Eric Lundin

Do you bear in mind what it is love to spin a sparkler on a summer time evening? Hang it secure and the fireplace will spark, however rotate it and the sunshine turns into a line that follows each and every swirl and vibration you are making.

A brand new patented instrument device advanced at Sandia Nationwide Laboratories can in finding movement curves in streaming video and pictures from satellites, drones and long-range safety cameras and switch them into alerts to seek out and observe transferring gadgets as small as a unmarried pixel. Builders say the program can support the efficiency of any faraway sensing utility.

“Having the ability to observe each and every pixel from a distance is essential, and it’s an ongoing and difficult drawback,” mentioned Tian Ma, a pc scientist and co-developer of the device. “For bodily safety tracking techniques, as an example, the earlier you’ll come across a possible danger, the extra time you must get ready and reply. Regularly the largest problem is the easy reality that after issues are additional clear of sensors, they naturally seem smaller.” A lot. The sensitivity of the sensor decreases as the space from the objective will increase.”

Ma and Robert Anderson started running at the multi-frame transferring object detection device in 2015 as a analysis and construction mission directed by means of Sandia Laboratory. A analysis paper on MMODS used to be just lately printed in Sensors.

Detecting a unmarried transferring pixel in a sea of ​​10 million

The power to come across gadgets via faraway sensing techniques is in most cases restricted to what will also be observed in one video body, whilst MMODS makes use of a brand new multi-frame approach to come across small gadgets in low-visibility stipulations, Ma mentioned. On the laptop terminal, symbol streams come from other sensors, and MMODS processes the information the usage of a frame-by-frame symbol clear out in actual time. The set of rules unearths movement in video frames and fits them to focus on alerts that may then be correlated throughout a collection of video body sequences.

This procedure improves the signal-to-noise ratio or general symbol high quality for the reason that sign of a transferring goal can correlate through the years and building up exponentially, whilst movement is filtered out from background noise akin to wind as it strikes randomly and is uncorrelated.

Earlier than deploying MMODS to support faraway sensing, Ma and Anderson demonstrated its effectiveness on simulating knowledge the usage of goal gadgets as small as a unmarried pixel with a signal-to-noise ratio with regards to 1:1, that means there’s no discrimination between sign and noise.

Those gadgets are most often undetectable to each the human eye and sensors. The elemental detector device completed a 30% likelihood of detecting a transferring object. When MMODS used to be added to the program, there used to be a 90% likelihood of detection with out an larger false alarm charge.

In every other demonstration, researchers used MMODS to come across transferring gadgets from are living knowledge accrued with a faraway digicam on the summit of Sandia Mountain. With out prior wisdom of Albuquerque’s roads, MMODS detected cars transferring across the town.

“For the reason that a contemporary video digicam has about 10 million pixels, having the ability to come across and observe one pixel at a time is a significant advance in laptop imaginative and prescient generation,” Ma mentioned. “MMODS has been confirmed to support cutting-edge detection sensitivity by means of 200 to 500% and works with speedy and slow-moving gadgets, even in deficient visibility stipulations.”

additional information:
Tian Ji. Ma et al., Far off Sensing, Bettering Goal Detection with Low Sign-to-Noise Ratio, Sensors (2023). doi: 10.3390/s23063314

Supplied by means of Sandia Nationwide Laboratories

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Apple needs to understand if you are glad or unhappy as a part of its newest device replace. Who will take pleasure in this?

Apple wants to know if you’re happy or sad as part of its latest software update.  Who will benefit from this?

By means of Peter Koval, Benjamin Tagg, Greg Wadley, and Xanthe Lowe-Brown, The Dialog

Credit score: Apple/Screenshot

Apple’s iOS 17 is predicted to drop any day now. The device replace comes with a number of new options, together with a device to file day by day temper and emotion — a method recognized to emotion researchers as “revel in sampling.”

Even supposing there are caveats, some psychological well being research have proven that ceaselessly recording one’s emotions can also be really useful. On the other hand, given the huge quantity of well being knowledge Apple already collects from consumers, why wouldn’t it additionally need to file their private emotions? How helpful is that this for customers?

The way it works

With the most recent device replace, Apple’s integrated Well being app will permit iPhone, iPad, and Apple Watch customers to file how they really feel on a sliding scale from “very ugly” to “very delightful.”

Customers will then choose between a listing of adjectives to rank their emotions and point out which components – together with well being, health, relationships, paintings, cash and present occasions – have most affected how they really feel.

The purpose is to present customers day by day and weekly summaries in their emotions, together with knowledge on components that can have influenced them. Apple claims this will likely assist customers “construct emotional consciousness and resilience.”

Why does Apple care about our emotions?

Apple had already accumulated copious quantities of well being knowledge ahead of this replace. The iPhone is supplied with an accelerometer, gyroscope, gentle meter, microphone, digital camera, and GPS, whilst the Apple Watch too can file pores and skin temperature and middle fee. Why does Apple now need customers to file how they really feel too?

With a variety of possible programs – from fraud detection to enhanced buyer revel in and customized advertising and marketing – the emotion detection and popularity trade is predicted to be value US$56 billion (AU$86.9 billion) by way of 2024. Apple is one of the The generation they’ve invested in is making an attempt to hit upon folks’s feelings thru sensor recordings.

On the other hand, scientists are divided on whether or not feelings can also be inferred from such bodily indicators. Analysis opinions point out that neither facial expressions nor physiological responses can be utilized to reliably infer the feelings somebody is experiencing.

By means of including self-report to its methodological toolkit, Apple is also spotting that subjective revel in is very important to figuring out human feelings, and seems to be leaving behind the purpose of inferring feelings from “goal” knowledge on my own.

The science in the back of revel in sampling

Apple’s new function permits customers to file their emotions “within the second” (named feelings) or “nowadays normally” (named moods). Is that this a sound difference?

Even supposing medical consensus remains to be elusive, feelings are frequently outlined as an object on Factor: I am indignant in my boss as a result of You rejected my proposal. Then again, temper isn’t consciously connected to express occasions: I believe indignant, however I have no idea why.

The 2 reporting strategies Apple makes use of don’t distinguish exactly between feelings and moods, even supposing they depend on other cognitive processes that may produce differing estimates of folks’s emotions.

The emotion tracker permits customers to transport a slider that adjustments the display from crimson (ugly), to blue/inexperienced (impartial), to orange (delightful). Credit score: Apple

If the brand new function permits customers to make a choice each the period of time (instant or day by day) and the kind of feeling (directed emotion or diffuse temper) independently, it will help in making customers extra conscious about biases in how they take note emotions. It might also assist folks establish mysterious reasons in their moods.

Apple’s emotion slider asks folks how glad or uncomfortable they really feel. This captures the fundamental measurement of feeling, referred to as valence, however neglects different elementary dimensions.

Moreover, students debate whether or not excitement and dislike are reverse facets of a continuum, because the trait posits, or whether or not they are able to co-occur as combined feelings. Measuring delightful and ugly feelings one by one would permit customers to file combined feelings, that are not unusual in on a regular basis lifestyles.

A little analysis additionally means that realizing how glad or dissatisfied somebody feels can be utilized to deduce the second one elementary measurement in their feelings, particularly their stage of arousal – reminiscent of how “anxious” or “calm” they’re.

After assessing the valence of feelings, Apple’s function asks customers to fee their emotions the usage of a listing of adjectives reminiscent of “thankful,” “apprehensive,” “glad,” or “annoyed.”

Do those possible choices replicate the breadth of human emotions? The choice of distinctive emotion classes—or whether or not separate emotion classes exist in any respect—is the topic of ongoing medical debate. On the other hand, Apple’s preliminary listing of emotion classes supplies beautiful excellent protection of this area.

What are the advantages?

Apple’s declare that monitoring temper and emotion might enhance customers’ well-being is unfounded. Analysis has proven that staring at and labeling feelings complements folks’s skill to tell apart between feelings and is helping them deal with misery. Each are crucial elements of wholesome mental functioning.

Additionally, rising analysis means that patterns of short-term fluctuations in folks’s day by day feelings is also helpful in predicting who’s liable to creating despair or different psychological sickness.

Apple’s historical past of analysis collaborations provides hope that monitoring folks’s feelings on a big scale might result in medical breakthroughs in figuring out, treating, and fighting not unusual psychological well being issues.

What are the hazards?

In the meantime, Apple is looking customers at hand over extra in their private knowledge, so we will’t omit the possible dangers of the brand new function.

Apple assures customers that the Well being app is “designed for privateness and safety” with a variety of safeguards, together with knowledge encryption and information sharing regulate. It guarantees that well being knowledge “might not be used for promoting, advertising and marketing, or offered to knowledge agents.”

This will likely sound encouraging, however Apple’s knowledge privateness file is a long way from easiest. The corporate used to be lately fined by way of French government for the usage of buyer knowledge for focused commercials with out consent.

It is usually imaginable to make use of detailed knowledge on customers’ self-reported moods and feelings in promoting for services and products. The possibility of misuse and commodification of delicate psychological well being knowledge is actual, indicating a necessity for stricter law of the way corporations acquire, retailer and use buyer knowledge.

Earlier than you dive into Apple’s new temper and emotion monitoring function, we urge you to imagine whether or not the hazards outweigh the possible advantages for you.

Advent to dialog

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New instrument detects cash laundering sooner than ever

New software detects money laundering faster than ever

Credit score: Pixabay/CC0 Public Area

Laptop scientists have advanced a brand new device that allows sooner and extra correct detection of cash laundering, having the ability to scan 50 million transactions in lower than a 2nd.

Researchers from the Division of Informatics have designed an absolutely new strategy to detecting cash laundering, in accordance with algorithms that temporarily determine when criminals have break up a big amount of money into a number of smaller transactions between many financial institution accounts – a method referred to as “smurfing”.

The algorithms paintings on knowledge taken from a number of financial institution accounts which might be represented as nodes on a big, complicated graph, and the instrument is programmed to concentrate on the a part of the graph the place it detects essentially the most suspicious job.

As an example, if there’s a deposit of £1 million, the instrument can observe the place that individual amount of cash is being transferred – and has the facility to spot all of the related units of transactions which might be going on, despite the fact that the cash is divided between other accounts and bills.

As detailed in a paper revealed in Court cases of the 2023 SIAM World Convention on Knowledge MiningLead researchers Dr. Huiping Chen and Dr. Grigorios Loukides, along side Dr. Robert Gwadera and Dr. Solon Pissis, say the brand new instrument is 3 times simpler than present detection strategies and too can analyze greater quantities of information.

Present cash laundering detection strategies are rule-based or device finding out (ML)-based, which incorporates automatic cash laundering alarms brought on via “suspicious” transaction eventualities reminiscent of over the top money deposits or processing massive units of transaction information to locate doable cash laundering job at the Web. The period of the traces is predefined. Those strategies can also be useless or sluggish in detecting crime circumstances, particularly with sanding observe.

Each present strategies additionally require area wisdom – for instance, the financial institution will have to have effectively detected assaults prior to now and used them to locate different assaults. If the group does no longer have that knowledge, which can also be the case when coping with new or evolving cash laundering strategies, then accuracy is diminished.

Dr. Chen, Ph.D. A pupil within the Division of Informatics stated: “Cash laundering represents a big international problem. Creating a sooner and simpler strategy to detecting this criminality signifies a large step in the correct course to handle this factor and supply reassurance to monetary establishments.”

The United International locations Place of business on Medication and Crime (UNODC) estimates that between 2% and 5% of worldwide GDP is laundered every yr, i.e. roughly £632 billion and greater than £1.5 trillion.

“We’ve got advanced an optimized approach that may to find the most productive conceivable resolution for detecting not unusual classifications of exfiltration assaults throughout tens of millions of quantities of information, on moderate 3.2 instances simpler than cutting-edge strategies these days in use,” says Dr. Loukidis.

“Our device could also be extra automatic and allows a lot sooner knowledge research than is these days to be had. By means of permitting cash laundering professionals to scan huge quantities of information sooner than ever prior to, we will allow them to locate bad-intentioned actors successfully.”

“We are actually running to give a boost to the device additional, with the purpose of offering larger pace than conventional strategies however with upper accuracy.”

The brand new device’s instrument is open supply and freely obtainable. As a result of it may be used with a lot greater quantities of information than conventional detection strategies, researchers say it might analyze massive quantities of information over lengthy sessions of time, filter out it and cause an alarm to sign to the financial institution when it detects suspicious job.

This means used to be examined the use of actual knowledge from an nameless Czech financial institution, and on fictional circumstances in accordance with predictions of not unusual patterns and actions present in actual cash laundering circumstances. In each circumstances, the algorithms had been ready to locate all suspicious patterns within the transactions.

The researchers say the brand new device additionally has doable use past detecting suspicious monetary job, as it would give a boost to advertising campaigns via enabling shops to search out and uncover essentially the most winning product bundles; Briefly give a boost to retail knowledge accuracy.

additional info:
Huiping Chen et al., Heavy Nodes in a Small Group: Algorithms and Packages, Court cases of the 2023 SIAM World Knowledge Mining (SDM) Convention (2023). DOI: 10.1137/1.9781611977653.ch35

Equipped via King’s Faculty London

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A brand new method may reshape device building sooner or later

A new approach could reshape software development in the future

Credit score: Unsplash/CC0 public area

In his laptop science thesis, Sebastian Hünel of Linnaeus College introduced a brand new option to measure and strengthen the standard of device processes. The process makes a speciality of working out how device is evolved and the adjustments that happen over the years. Via the usage of virtual information from the advance procedure mixed with skilled and data-based research, one can are expecting issues and make a decision on possible enhancements.

Some of the new gear evolved via Sebastian Hünel is a metric known as “supply code density.” This metric signifies the actual quantity of code in a device utility relative to its general measurement. It is helping resolve if the code is compact and environment friendly or whether it is scattered and comprises redundant code.

“Supply code density is a treasured device for figuring out code this is redundant. Moreover, now we have evolved a competent classifier to know the character of adjustments in device. It’s exploited via a brand new means of the usage of this and different building information to allow us to Determine complicated problems within the building procedure extra simply.”

New views on device building

This analysis may alternate the way in which we consider device building. Via specializing in the advance procedure and the usage of gear reminiscent of supply code density, one can create higher, extra dependable, and extra environment friendly device.

Historically, device builders have considering comparing the standard of the device itself. On the other hand, Sebastian Hoehnel’s analysis means that it’s similarly vital to believe how this system is evolved.

“To strengthen device, we first wish to strengthen the advance procedure, alter it and be told from previous studies. Up to now, building paintings used to be measured via having a look on the measurement of adjustments, however there used to be no dependable approach. Now, we advise to make use of information from the advance procedure itself mixed with quantitative research To grasp the size of the adjustments,” says Sebastian Hünel.

Determine issues thru code research

While you set up a couple of laptop tasks concurrently, you might be sure to revel in each successes and demanding situations. There are moments when the entirety is going flawlessly, however there also are instances when headaches rise up. This can be since the device isn’t appearing rapid sufficient, lacks important options, is over finances, or the undertaking does now not end on time table.

After a undertaking is entire, it is herbal to wish to replicate on and perceive the moments when issues did not pass as deliberate. The problem could also be to resolve whether or not issues have arisen because of particular person selections or broader crew dynamics.

“We have evolved gear that may temporarily scan your tasks and determine the place the principle issues lie. They would possibly not come up with the entire main points, however they permit you to temporarily determine tasks that want further consideration. We will be able to to find those issues simply by having a look on the device code.” We consider that this device can lend a hand come across many several types of issues,” says Sebastian Hönel.

The analysis represents a step ahead within the quest to know and strengthen device high quality. The use of those new gear and strategies, builders’ paintings will also be simplified and progressed, thus generating higher and extra dependable device.

Supplied via the Swedish Analysis Council

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