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Interior fragments from our yacht of an office (stairway to the 'cabins' in-house accommodation)... Fascinated by the elegant lines, I couldn't help admiring the attention to detail, with the maritime-style lights and 'windows' (mirrors here)...
"...next to Homo Faber, and
perhaps on the same level as Homo Sapiens, Homo Ludens, Man the Player,..."
J. HUIZINGA
Leyden, June I93B.
Gamification
en.wikipedia.org/wiki/Gamification?wprov=sfti1
Gamification of want
В Датском Королевстве
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Croatia win penalty shootout to reach World Cup quarterfinals …opnieuw
Šahovnica weer bovenaan!
www.espn.com/soccer/fifa-world-cup/story/4826079/japan-he...
playing games in order to motivate and engage … or playing games. as professional players of spectator sports or games) or art (such as jigsaw puzzles or games involving an artistic layout such as Mahjong, solitaire, or some video games) or…as a persuasive system
Interior fragments from our yacht of an office (stairway to the 'cabins' in-house accommodation)... Fascinated by the elegant lines, I couldn't help admiring the attention to detail, with the maritime-style lights and 'windows' (mirrors here)...
Which products or business processes can be expressed as a game, and thus, might be ripe for the new wave of automation?
About a year ago, I wrote about the “edge of automation” (MIT Tech Review), noting that many of the new jobs in the new economy (like Uber drivers and Mechanical Turkers) are cognition tasks just a bit beyond the realm of automation, and thus, are ever so ephemeral against the march of Moore’s Law. And since they are recently architected jobs, they are surrounded by modern digital interfaces, so much so that if your Uber driver were to be replaced by a mute body model from WestWorld, you might not even notice.
But the Toronto Deep Learning conference helped refine that edge, and suggest where we may likely find it — the edge of gamification.
Deep Learning applies particularly well to games, literally as the Deep Mind team demonstrated before the Google acquisition and through homologous problems as they have been demonstrating afterward. The training of Alpha Go was particularly prophetic: a learning algorithm can be more rapidly trained if the human trainer is replaced by another learning algorithm.
We have also seen this in our startup portfolio in the field of autonomous vehicles. You can add billions of miles of driving experience, and hone the tricky corner cases, by building a Matrix for the vehicles’ sensors, feeding the computer the same digital streams that the camera and radar and LIDAR see when navigating real roads, but synthesized from the point cloud of a simulation not dissimilar to GTA. The big auto companies are doing the same to try to catch up with the leaders.
Deep Reinforcement Learning is one of the promising subsets of machine intelligence that has delivered many of the recent gaming wins. Karpathy gives a good overview of RL and refines the type of gameplay that currently lends itself to automation: “there are many games where Policy Gradients would quite easily defeat a human, in particular, anything with frequent reward signals that requires precise play, fast reflexes, and not too much long-term planning, as these short-term correlations between rewards and actions can be easily noticed by the approach, and the execution meticulously perfected by the policy.” But that is for now; as memory structures roll into these models, the human knack for rapid abstract model building may also tip over the edge of gamification.
So what’s next?
Jingili Water Gardens day 8-10
In a social environment, each repeating action is slightly different, even when social interactions are limited to a few actors and a limited range of actions is undertaken.
Walking past a stranger and muttering 'good morning' or making a hand or facial gesture, whilst limited is also grounding. Each repeated action improves the experience of the activity. The smile gets bigger and ignoring more pronounced. The gesture shifts from novel to heightened and then to automation. Simple transactions fall into the shadows or normality. The gesture occurs without realization. It is systematized. Is there a way of not plateauing into reductive repetitive activity and to continually improve the experience?
Perhaps gamification? For example, one reaction for one person and another for another person.
My original and prior thoughts were that continuous and repeated actions inhibit each transaction's ability to adapt. So mix it up - change hand & facial gestures - make the play in how the transaction initiates and concludes. Perhaps, switch the which side of the path the transaction occurs. This way the humanness within the transaction transpires the actual activity of walking on a designated and identical path. At what point does this approach breakthrough social norms to become non-sensical or even perceived as a threat?
Obviously, the superficialness of the greeting of unknown people within a simple scenario is different than that of a more complex scenario like greeting known co-workers every morning where discussion is likely to occur. However, the question of improving transactions in social media platforms is comparable. At what time does liking the same person's creative post stop having a sense of quality or uplifting emotion and enters the realm of superficial habit. Doing it because that is what you do or gaming up by employing emojis, comments, and self-promotional statements/links. There is creative opportunities within each transaction within systemic understandings acceptable norms.
It would be stupid if I thought that after 10 days of visiting Jingili Water Gardens, at more or less the same time and following the same path my ability to adapt would be stunted. After 10 circuits over 10 days, I am starting to anticipate what I will most likely encounter, and surprises become significant. It is enjoyable crossing paths with the same people, dogs, and birds. I do enjoy how the sun interacts with the trees and other artifacts within the gardens. Like a game of chess, I am seeing possibilities and anticipating what I can do. I can forecast that if I repeated my actions over a year, my structural, physiological, and behavioral insights would become finer and finer. If I could maintain this level of reflection, the data I collect on each and every transaction would compound, and my knowledge would transcend to a new level of expertise. If I do not maintain this level of reflection will the activity become a chore and a lockin
The promise of Artificial Intelligence and automation is about freeing us from the tyranny of repetitive tasks. Is reflection a burden and will AI extend its capacity to respond on my behalf? More importantly, will I employ it? The symbiotic relationship of walking through Jingili Water Gardens and reflective writing has enabled a creative response. Combined, both repetitive activities required time and effort, dedication and discipline to gain a semblance of personal reward. My simple question is - how do humans gain expertise of intrinsic satisfaction without engaging repetition? My more complex question regards the systematization of Artificial Intelligence and the problem of freedom without repetition.
If the promise is, freedom from repetition enables people to engage in more complex endeavors, however, how do we step up to more complex endeavors without repetition? How does that work in teaching? Will that mean teaching will become more complex, learning will increase and creativity will flourish?
In regards to creating great music, can this be done without developing a skills platform? Iterative improvement, through a step and repeat based process, can create exceptional art. Jackson Pollock achieved remarkable paintings through a repetitive action-based methodology. Despite the similarities, not one of his paintings is a replicant. At the heart, Pollock's artistic creativity is both repetition and reflection. On this basis, the complexity of reflection increases the output enriches. This leads to the next question if creativity is based on iterative improvement at what point is improvement non-recognizable.
Baldessari Cremation Project highlights the normality plateau many repetitive creatives find themselves - that is an expression that relies on iterative improvement eventually recycles and becomes reductive.
In regards to Jingili Water Gardens, how many repeated walks and how much reflection can be applied before reduction occurs and I am basically recycling? I will not reach this realization as I know that the repetitive loop will be broken once I return to work. So on this realization, this is my last Jingili Water Garden reflection.
What have I learned from the experience and reflection?
My quest was to discipline myself into a repetitive activity to question 'just doing it' normality, to observe freedom, and to self impose restricted actions within societal restrictions to find a path forward that increased my creatively in the twilight years of my professional career and address ways of re-entering an artistic career post 60. I believe that I have found a nebulous idea and my next logical step is to goal map creative growth across education and artistic expressions. There are two systems I need to reevaluate and build within. My creativity will be essentially adaptive. That is from within.
Since I graduated in 1981 as an artist and 1983 as an educator much has changed. Within the contemporary art realm, narrative, identity, and experience have become an increasingly important design agent. There are more people who are interested in contemporary art, there are more gallery agents, more venues, more ways to publicize and make publication. Studio arts have exponentiated into a wider scoped creative arts industry. What I can observe is that contemporary art is moving from the margin towards the center. The arts industry seems more professional and commercial in that it not only operates in elite circles but on a mass scale based on a smaller price dividend. Art events are becoming more and more spectacular. As this growth has broadened user base, traditional media-based fine art products have shifted from the leading thought to that of the level of craft. It has found it's based on media specialization. Technology has shifted contemporary artists from producing and refining style to seeking new modes of critical dialogue. The artist-as-genius model has expired. Wow - how do I step into this paradigm?
The expansion of education into society has significantly transformed society. When I entered university it was a privilege of the few. Most students did not complete their senior secondary school. Perhaps the biggest change has been in the realm of completion to “lifelong learning. There is no endpoint. The link between national growth and personal growth through formal education is established. National growth, human capital, and educational attainment underlines human prosperity. I need to question my hierarchical status. Do I remain operational in my current position and incrementally improve until I reach reduction or do I break the loop into a new paradigm of improvement?
What I have gained from the repetitive walks through Jingili Water Gardens and applied reflection is that the creative system is the system thinking. For creativity to benefit systems it cannot be as simple as - get another idea and then just do it. The components that form a system must be viewed as a whole and thinking as a whole. A creative system observes itself thinking throughout its own repetitive iterations. It takes time and thinking discipline for systems to realize creativity. Systems lose creative scope and become reductive and deprecatory. These systems need to reflect on their repetitive artifacts.
Read more: www.jjfbbennett.com/2020/07/darwin-jingili-water-gardens-...
One-off sponsorship: www.paypal.me/bennettJJFB
6 Strategies to Engage Your Millennial Workforce - Social learning, micro learning, mobile learning, gamification goo.gl/oWjtx1
eLearning Gamification or Game-based Learning is a powerful medium of learning by using simulations and games to experience and learn new things. When played as a game, by creating life-like situations, the desire to win propels the players to understand the system or “lesson” and...
Dice add a wild element to any game. While skill should play a part in any game, a bit of luck thrown in with a pair of dice is a time honored tradition.
On May 3 - 5 at the Space Needle in Seattle, frog design hosted "Changing the Game,” a health conference in partnership with the Innovation Learning Network, where front-line innovators and leaders of healthcare innovation will explore how to take advantage of gaming ideas and principles to inspire innovation in the serious world of healthcare.
Day 3 of working on slides for this panel.
"Convivial technology" is a phrase coined by Kevin Kelly in "What Technology
Wants". It's a technology that helps the world become more cooperative,
transparent, decentralized, flexible, redundant, and/or efficient. See
also: "The Thank You Economy" and "The Social Animal".
(Image borrowed from stuckincustoms. Thanks.)
On May 3 - 5 at the Space Needle in Seattle, frog design hosted "Changing the Game,” a health conference in partnership with the Innovation Learning Network, where front-line innovators and leaders of healthcare innovation will explore how to take advantage of gaming ideas and principles to inspire innovation in the serious world of healthcare.
Congratulations, you successfully attended a funtastic WordCamp presentation by Prof. Johnson on gamification. Display this badge with pride!
Engage your community using gamification workshop at TEDSummit2016, June 26 - 30, 2016, Banff, Canada. Photo: Marla Aufmuth / TED
The Gamification of Life is a master class in providing rewarding experiences based on understanding game play systems, and storytelling. The course builds on a core philosophy of user-centered design in which students are trained to conceptualize experiences as reward based systems that understand compulsions, progression models and dynamic feedback states.
Find out more about VFS's one-year Digital Design program at www.vfs.com/digitaldesign.
Med Gamification gör du något kul ännu roligare och något tråkigt kul! Gamification innebär att företag använder spelmekanismer i verkliga situationer för att öka anställdas och kunders engagemang.
From: www.connectedaction.net
Connections among the Twitter users who recently tweeted the word gamification
when queried on April 29, 2011, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another.
Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.
A larger version of the network map is here: www.flickr.com/photos/marc_smith/5673365556/sizes/o/in/ph...
A detailed list of top most between users is here: www.flickr.com/photos/marc_smith/5672797575
Top most between users:
@wili
@jowyang
@microtask
@gzicherm
@mindshiftkqed
@margaretwallace
@gamification
@zdnet
@umairh
@amyjokim
Graph Metric: Value
Graph Type: Directed
Vertices: 1177
Unique Edges: 8934
Edges With Duplicates: 1058
Total Edges: 9992
Self-Loops: 0
Connected Components: 77
Single-Vertex Connected Components: 70
Maximum Vertices in a Connected Component: 1095
Maximum Edges in a Connected Component: 9980
Maximum Geodesic Distance (Diameter): 7
Average Geodesic Distance: 2.826653
Graph Density: 0.006816448
NodeXL Version1.0.1.166
NodeXL is free and open and available from www.codeplex.com/nodexl
NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.
The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.
Marc Smith on Twitter.
Photos of the renovated rooms Emerald Forest Hotel. Part of the international management game Emerald Forest Hotel.
Badge for Social Media Innovation Quest in MIS3538 taught by Prof. Steven L. Johnson at Temple University Fox School of Business in Fall, 2011.
Badge for Social Media Innovation Quest in MIS3538 taught by Prof. Steven L. Johnson at Temple University Fox School of Business in Fall, 2011.
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6802971203/sizes/l/
These are the connections among the Twitter users who recently tweeted the word gamification when queried on February 1, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 1/26/2012 17:21 and ends on 1/29/2012 10:14 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.
Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.
A larger version of the image is here: www.flickr.com/photos/marc_smith/6802971203/sizes/l/
Betweenness Centrality is defined here: en.wikipedia.org/wiki/Centrality#Betweenness_centrality
Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111
Top most between users:
@gamification
@gzicherm
@badgeville
@jeanlucr
@artificialtwit
@pammktgnut
@seriosity
@rwang0
@webtechman
@bigdoor
Top keyword pairs:
top, stories, 67
stories, today, 63
today, via, 63
use, game, 51
game, based, 49
based, learning, 48
businesses, seek, 48
perfect, video, 48
video, game, 48
teach, civics, 46
#gamification, #pblchat, 46
sneaky, ways, 40
via, @pegfitzpatrick, 38
#gamification, daily, 37
successful, gamification, 35
game, design, 33
see, gamification, 26
enterprise, gamification, 23
@bennuworld, @practicallygrn, 21
@practicallygrn, @the_mutual, 21
Graph Metric: Value
Graph Type: Directed
Vertices: 1141
Unique Edges: 7241
Edges With Duplicates: 1327
Total Edges: 8568
Self-Loops: 882
Connected Components: 226
Single-Vertex Connected Components: 212
Maximum Vertices in a Connected Component: 900
Maximum Edges in a Connected Component: 8280
Maximum Geodesic Distance (Diameter): 12
Average Geodesic Distance: 3.452806
Graph Density: 0.005458431
Modularity: 0.333176
NodeXL Version: 1.0.1.200
More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:
www.nodexlgraphgallery.org/Pages/Default.aspx
A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter
NodeXL is free and open and available from www.codeplex.com/nodexl
NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.
Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...
The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.
Marc Smith on Twitter.
Badge for Social Media Innovation Quest in MIS3538 taught by Prof. Steven L. Johnson at Temple University Fox School of Business in Fall, 2011.
DCIM\100MEDIA
Photos of the renovated rooms Emerald Forest Hotel. Part of the international management game Emerald Forest Hotel.
Badge for Social Media Innovation Quest in MIS3538 taught by Prof. Steven L. Johnson at Temple University Fox School of Business in Fall, 2011.
Achievement badge for Social Media Innovation Quest in MIS3538 taught by Prof. Steven L. Johnson at Temple University Fox School of Business in Fall, 2011.
Badge for Social Media Innovation Quest in MIS3538 taught by Prof. Steven L. Johnson at Temple University Fox School of Business in Fall, 2011.