AI News, Study: You'll Love Your Robot More If You Assemble It Yourself
- On Sunday, February 4, 2018
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Study: You'll Love Your Robot More If You Assemble It Yourself
There is such a thing as the “IKEA effect,” which, according to one description, suggests that “when individuals construct products themselves, they tend to overvalue their (often mediocre) creations.” The“IKEA effect”
Shyam Sundar, say previousstudies in human-computer interaction have demonstrated that the “self-agency” effect is present in things as basic as customizing the interface of a software application, resulting in “more positive attitudes toward the technology, a heightened sense of control and identity, greater user engagement, and product attachment.” If the same is true of robots,how can we leverage it to make them more acceptable to people?
The goal was determining how their perception of the robot changed depending on what they were told about the robot in advance, and how much they participated in the assembly of the robot.One group of undergrads were given a robot (a Kumotek KT-X Gladiator humanoid) that they had to equip with a battery, plug into a computer, and run through a simple software setup process, while the other group watched an experimenter go through the same steps.
Afterwards, all the undergrads filled out a survey full of questions about sense of ownership, sense of accomplishment, and how they felt about the setup process, and here are the results: The results of the study clearly demonstrated that robot users hold higher sense of self-agency when they set up a robot by themselves, which generated more positive evaluations to the robot and the interaction process.
AI, Robotics, and the Future of Jobs
The vast majority of respondents to the 2014 Future of the Internet canvassing anticipate that robotics and artificial intelligence will permeate wide segments of daily life by 2025, with huge implications for a range of industries such as health care, transport and logistics, customer service, and home maintenance.
There will be greater differentiation between what AI does and what humans do, but also much more realization that AI will not be able to engage the critical tasks that humans do.” Another group of experts feels that the impact on employment is likely to be minimal for the simple reason that 10 years is too short a timeframe for automation to move substantially beyond the factory floor.
But there are only 12 years to 2025, some of these technologies will take a long time to deploy in significant scale… We’ve been living a relatively slow but certain progress in these fields from the 1960s.” Christopher Wilkinson, a retired European Union official, board member for EURid.eu, and Internet Society leader said, “The vast majority of the population will be untouched by these technologies for the foreseeable future.
Glenn Edens, a director of research in networking, security, and distributed systems within the Computer Science Laboratory at PARC, a Xerox Company, wrote, “There are significant technical and policy issues yet to resolve, however there is a relentless march on the part of commercial interests (businesses) to increase productivity so if the technical advances are reliable and have a positive ROI then there is a risk that workers will be displaced.
The race between automation and human work is won by automation, and as long as we need fiat currency to pay the rent/mortgage, humans will fall out of the system in droves as this shift takes place…The safe zones are services that require local human effort (gardening, painting, babysitting), distant human effort (editing, coaching, coordinating), and high-level thinking/relationship building.
The situation is exacerbated by total failure of the economics community to address to any serious degree sustainability issues that are destroying the modern ‘consumerist’ model and undermining the early 20th century notion of ‘a fair day’s pay for a fair day’s work.’ There is great pain down the road for everyone as new realities are addressed.
The short answer is that if the job is one where that question cannot be answered positively, that job is not likely to exist.” Tom Standage, digital editor for The Economist, makes the point that the next wave of technology is likely to have a more profound impact than those that came before it: “Previous technological revolutions happened much more slowly, so people had longer to retrain, and [also] moved people from one kind of unskilled work to another.
I’m reminded of the line from Henry Ford, who understood he does no good to his business if his own people can’t afford to buy the car.” Alex Howard, a writer and editor based in Washington, D.C., said, “I expect that automation and AI will have had a substantial impact on white-collar jobs, particularly back-office functions in clinics, in law firms, like medical secretaries, transcriptionists, or paralegals.
And education systems in the U.S. and much of the rest of the world are still sitting students in rows and columns, teaching them to keep quiet and memorize what is told to them, preparing them for life in a 20th century factory.” Bryan Alexander, technology consultant, futurist, and senior fellow at the National Institute for Technology in Liberal Education, wrote, “The education system is not well positioned to transform itself to help shape graduates who can ‘race against the machines.’ Not in time, and not at scale.
Think outside the job.” Bob Frankston, an Internet pioneer and technology innovator whose work helped allow people to have control of the networking (internet) within their homes, wrote, “We’ll need to evolve the concept of a job as a means of wealth distribution as we did in response to the invention of the sewing machine displacing seamstressing as welfare.” Jim Hendler, an architect of the evolution of the World Wide Web and professor of computer science at Rensselaer Polytechnic Institute, wrote, “The notion of work as a necessity for life cannot be sustained if the great bulk of manufacturing and such moves to machines—but humans will adapt by finding new models of payment as they did in the industrial revolution (after much upheaval).” Tim Bray, an active participant in the IETF and technology industry veteran, wrote, “It seems inevitable to me that the proportion of the population that needs to engage in traditional full-time employment, in order to keep us fed, supplied, healthy, and safe, will decrease.
Kevin Carson, a senior fellow at the Center for a Stateless Society and contributor to the P2P Foundation blog, wrote, “I believe the concept of ‘jobs’ and ‘employment’ will be far less meaningful, because the main direction of technological advance is toward cheap production tools (e.g., desktop information processing tools or open-source CNC garage machine tools) that undermine the material basis of the wage system.
The real change will not be the stereotypical model of ‘technological unemployment,’ with robots displacing workers in the factories, but increased employment in small shops, increased project-based work on the construction industry model, and increased provisioning in the informal and household economies and production for gift, sharing, and barter.” Tony Siesfeld, director of the Monitor Institute, wrote, “I anticipate that there will be a backlash and we’ll see a continued growth of artisanal products and small-scale [efforts], done myself or with a small group of others, that reject robotics and digital technology.” A
In the long run this trend will actually push toward the re-localization and re-humanization of the economy, with the 19th- and 20th-century economies of scale exploited where they make sense (cheap, identical, disposable goods), and human-oriented techniques (both older and newer) increasingly accounting for goods and services that are valuable, customized, or long-lasting.” In the end, a number of these experts took pains to note that none of these potential outcomes—from the most utopian to most dystopian—are etched in stone.
rather it’s a political choice.” Jason Pontin, editor in chief and publisher of the MIT Technology Review, responded, “There’s no economic law that says the jobs eliminated by new technologies will inevitably be replaced by new jobs in new markets… All of this is manageable by states and economies: but it will require wrestling with ideologically fraught solutions, such as a guaranteed minimum income, and a broadening of our social sense of what is valuable work.”
Research Advance in Swarm Robotics
First of all, the cooperation of nature swarm and swarm intelligence are briefly introduced, and the special features of the swarm robotics are summarized compared to a single robot and other multi-individual systems.
Finally, as a main part of this paper, the current research on the swarm robotic algorithms are presented in detail, including cooperative control mechanisms in swarm robotics for flocking, navigating and searching applications.