The Tao of Instructing, Teaching, Coaching & Leading

Here are a few quotes from the Dao De Jing [Tao Te Ching] by Lao Tzu, relevant to effective instruction,  teaching, coaching and leadership. These are adapted from the translation of Dwight Goddard and Henri Borel (1919).

Where I’ve put the word “teacher“  you can substitute it with “instructor,”  “coach,” or “leader.”  (Similarly, use “instruct,’ “teach,” “coach” or “lead,” as required).  Where I’ve put “student,” replace it with “coachee(goat cheese?) or “follower” as appropriate.

When great teachers teach,  students know little of their existence. Teachers who are less great win the affection and praise of their students. A common teacher is feared by their students, and an unworthy teacher is despised.

When a teacher lacks faith and conviction, you may seek in vain for it among their students.

How carefully a wise teacher chooses their words. They perform deeds, and accumulate merit! With such a teacher the people think they are teaching themselves. 

 (Chapter 17) 

This next bit gives some insight into the benefits of being a teacher and leader who doesn’t “try too hard”  while being “in the moment” of doing their work:

(…)   Therefore the wise teacher is not conspicuous in their affairs or given to much talking. Though troubles arise they are not irritated. They produce but do not own; they act but claim no merit; they build but do not dwell therein; and because they do not dwell therein they never depart. 

(Chapter 2)

“Do not dwell” is great advice for someone in a coaching role — back off and let the learner figure it out for themselves. In this way your guidance will “never depart”  — that’s called learning sustainability.  

Finally, a bit of general advice on developing empathic listening skills (with heavy echoes of Ben Zoma), which are neccessary for effective instruction and leadership:

The one who knows do not speak; the one who speak do not know. The wise person shuts their mouth and closes their gates.

They soften their sharpness, unravel their tangles, dim their brilliancy, and reckon themselves with the mysterious.

They are inaccessible to favor or hate; they cannot be reached by profit or injury; they cannot be honored or humiliated. Thereby they are honored by all.

(Chapter 56)

True listening – where you really focus on the speaker and have a willingness to test and set aside all of your preconceptions and assumptions – is the exact opposite of what many experts (teachers, coaches, consultants) think they’re supposed to do.

 ”Sound advice” is the enemy of quiet understanding.

On Chickens and Sales Performance

Here’s a great story about the sales performance of individuals versus groups,  involving chickens:

William Muir, an animal breeder at Purdue University, wanted to increase egg production by selective breeding, and he tried to do it in two ways. Both involved housing hens in cages (groups), which is standard practice in the poultry industry. The first method involved selecting the most productive hen within each cage to breed the next generation of hens. The second method involved selecting the most productive cages and using all the hens from those cages to breed the next generation of hens. You might think that the difference between the two methods is slight and that the first method should work better.  After all, it is individuals who lay eggs, so selecting the best individuals directly should be more efficient than selecting the best groups, which might include some individual duds.

The results told a completely different story. When Bill presented his results at a scientific conference, he showed a slide of hens selected by the first method after six generations. The audience gasped.  Inside the cage were only three hens, not nine, because the other six hens had been murdered.  The three survivors had plucked each other during their incessant attacks and were now nearly featherless… What happened?  The most productive individuals had achieved their success by suppressing the productivity of their cage mates.

The first method caused egg productivity to perversely decline, even though the most productive hens were chosen each and every generation. The second method caused egg productivity to increase 160 percent in six generations, an astonishing response as artificial selection experiments go.

Excerpt from Evolution for Everyone by David Sloan Wilson

(HT to @rickladd @merigruber)

When organizations are looking to improve their sales results, consultants (myself included) will often give them the following advice: “Look at what your top performers do — really look and understand what they do — and then get more people to do what they do.”  

This experiment in chicken productivity shows an important qualifier to that advice:   Sometimes what allows an individual to outperform their peers is the degree to which they SUPPRESS the performance of their peers. So the part about “really look and understand what they do”  has to take into account the wider context of their group.

This experiment also illustrates one of several reasons why simply rewarding and promoting top salespeople to positions of management without developing them properly often has negative effects on overall company performance. Often times, the top performers will attain a level of influence that allows them to determine the make-up of their team via homosocial reproduction, which is a fancy way of saying, ”jerks like to hire other jerks.”  Through the process of attrition of non-jerks and the hiring of additional jerks, before you know it, you’ve got a situation very similar to one faced by that chicken breeder:

 After six generations, Muir had produced a nation of psychopaths, who plucked and murdered each other in their incessant attacks. No wonder egg productivity plummeted!

If a company has more than one sales team, it’s easier to figure this out.  Having multiple sales teams means you can compare them as groups. You may notice that the groups which act in supportive concert — for example, with some people focusing on outreach and qualifying new customers, others focusing on managing the RFP process, and others focusing on pitching and closing — those are the teams that do better than the groups full of sharp-elbowed Alpha sales players who all go straight for the kill / close.

The trick to building Alpha sales teams is to find the right mix of players.

Google Goggles: Augmented Reality for Mobile Learning

Google just announced its beta launch of “Goggles,”  a service which lets you use your (Google Android-enabled) camera phone as a search engine.   Let’s say you see an object or landmark in front of you, which you’d like to look up online. Instead of searching by typing, you can point your camera phone and take a picture of the object or landmark in question.  Your phone will then send the photo to Google, which will use image recognition technology to tell you what you’re looking at and link you to relevant information, online resources and communities related to the item or  place in question.

Google is starting off with a limited library of image categories they will handle. Interestingly, they seem to be tackling the OCR-business card scanner business, in the process of helping us look up the Golden Gate Bridge and Napa Valley wine labels.  

This is good news for those of us who, since the early 1990’s and those good old days of cyberpunk and Snowcrash, have been patiently waiting for the promises of Augmented Reality and Wearable Computing to come true… come on, we’re well past the Year 2000, and well, it’s about time!  (Yeah, if you’ve lived near the M.I.T. campus in the last 20+ years and have seen any of those wearable computing cyborg cyclists, this is all really old news… but come on, really….)  

This is amazing news for those of us who, since we’ve been able to read, have been frustrated by the fact that we need to know the ACTUAL NAME (and often, correct spelling) of something in order to look it up in a traditional reference book such as a dictionary. Now we’ll be able to look up anything by just looking at it!   

Then again, consider this true story: Years ago, I was walking near a flowering tree on the McGill University campus when a stranger approached me and asked , “Cet arbre, qu’est-ce que c’est?”   I replied, ”Je pense que c’est un cerisier, ou peut-être un pommier.”  “Ahhh… merci.”   “Bonjour.”  “Bonjour.”  Such textbook French exchanges of pleasantries won’t be nécessaire, once Google Goggle’s is able to recognize flora and fauna. Is this a good thing?  Peut-être pas.

For those who already enjoy overlaying Wikipedia entries onto their Google Maps  (and even for those who don’t), this technology is going to be HUGE for mobile learning… particularly among the lifelong learner types.   (It’s also going to be awesome for those of us with that another augmented reality hobby: Geocaching)  

Check out this fantastic recent example of mobile learning (and in this case, also social learning):   CSI Twitter: Kids find a mysterious skeleton and learn about forensics, using an iPhone and Twitpic. Forget training kids for standardized multiple-choice tests… if you want your child to succeed in the 21st Century, THAT is the way to give them a top-notch elementary education!

We’re a long way off of having your Google Android Phone identify the skeleton of a mysterious animal, or species of flowering fruit trees, but in the meantime, it’s probably just as well to facilitate more in-the-moment-curiosity-driven, self-directed-but-socially-interactive opportunities for learning.   Google Goggles.  Yes, yes, and YES.

Responding to Objections with Emotional Intelligence

200217661-001

The art of handling objections (from co-workers or clients) is kind of like the art of handling questions :  First you seek to understand,  then you confirm your understanding, then you respond, and if you’re really good (i.e. a media-trained politician), you smoothly link your response to the message that you actually want to deliver.

Objections are different from questions, although the two things often get blended together –   questions can be objections in disguise, or vice versa.  “Small” objections can be “answered” quickly… we’ve all had the experience of a friend (or even sales person) who recognizes and pushes through our lazy, half-hearted excuse/objection, and manages to get us to go along with their recommendation.

But sometimes our objection is a bit more than half-hearted, and is based on deeper emotional concerns.  In that cases, we don’t appreciate it when the other person tries to bully their way through the objection.  Not only do they not convince us… they erode our trust.

Here’s a metaphor for handling deeper, emotion-based objections  (this assumes you can tell whether an objection is deeply emotion-based… the subject for another post, another day):

When a person — particularly, a client — raises an emotion-based objection to you, it’s as if they have created a divide in the ground between the two of you. If you want to continue working with them, you’ll need to build a bridge across the divide, and carry them over.

The deeper the emotional content of the objection, the deeper the chasm, and the more you need to sit on their side of the divide and acknowledge their objection, before even attempting to respond to it.  More resistance requires more empathy. 

Once you’ve sufficiently validated their objection, you can respond using terms they understand, and which relate to their values. This is the bridge-building phase… and now begins the slow walk back over the bridge, over the chasm, where your message / proposition is patiently waiting.

Finally, if you do manage to bring them back across the bridge over to your side, don’t refer back to the objection. Keep on moving, don’t look back!

Rubric for Commenting on Blogs

Just came across this article about creating more effective e-learning discussion forums: 

If You Build It, They Will Come: Building Learning Communities Through Threaded Discussions by Susan Edelstein and Jason Edwards

The authors put together a nice little rubric that could apply equally well for social media, i.e., it could be used to judge the quality of one’s contribution to online communities (comments posted to blogs, Facebook, Twitter, etc.):

Category 1 2 3 4 POINTS
 

Promptness and Initiative

Does not respond to most postings; rarely participates freely Responds to most postings several days after initial discussion; limited initiative Responds to most postings within a 24 hour period; requires occasional prompting to post Consistently responds to postings in less than 24 hours; demonstrates good self-initiative  
 

Delivery of Post

Utilizes poor spelling and grammar in most posts; posts appear “hasty” Errors in spelling and grammar evidenced in several posts Few grammatical or spelling errors are noted in posts Consistently uses grammatically correct posts with rare misspellings  
 

Relevance of Post

Posts topics which do not relate to the discussion content;

makes short or irrelevant remarks

Occasionally posts off topic; most posts are short in length and offer no further insight into the topic Frequently posts topics that are related to discussion content; prompts further discussion of topic Consistently posts topics related to discussion topic; cites additional references related to topic  
 

Expression within the Post

Does not express opinions or ideas clearly; no connection to topic Unclear connection to topic evidenced in minimal expression of opinions or ideas Opinions and ideas are stately clearly with occasional lack of connection to topic Expresses opinions and ideas in a clear and concise manner with obvious connection to topic  
 

Contribution to the Learning Community

Does not make effort to participate in learning community as it develops; seems indifferent Occasionally makes meaningful reflection on group’s efforts; marginal effort to become involved with group Frequently attempts to direct the discussion and to present relevant viewpoints for consideration by group; interacts freely Aware of needs of community; frequently attempts to motivate the group discussion; presents creative approaches to topic  
        TOTAL  

 

What’s missing in the above rubric:   Just about everything having to do with issues around attitude, motivation, good manners, humor, appropriateness, self-promotion, ego, and so forth — all the “hows” and “whys” of constructive communication (not just the “whats” and “whens“).   This is not meant to be a critique of those authors, or that rubric (which was written in 2002, which is eons ago, in social media years) , or even instructional design.   I enjoy instructional design, however, sometimes I find that its systems are so process-and-detail-oriented that it’s easy to loose one’s bearings and drift away from the obvious, common sense solutions.

Having said that, it might not be a bad idea to put more weight on measuring folks for the “whats” and “whens” – i.e., the content  — of their contribution to their respective online learning communities.  This happens naturally in the “open wild” of blogs and Twitter, where solid contributors gain readers/followers, for whatever that is worth.  In the “wild,” there’s no lack of content… no lack of folks who are happy to grab the microphone and say, Imma let you finish…“    But in the more closed setting of an organization’s online discussion forum, it can be a lot harder to spur people to share and contribute.

Are You Teaching As Fast As Your Industry Is Learning?

Great little HBR blog post by Bill Taylor: The Rise of the Teaching Organization

It’s been often said that in a knowledge economy, an organization’s ability to learn more quickly than its competitors is its only sustainable advantage.  One of the earliest published business quotes on this topic was also in HBR, in 1988, when Arie de Geus of Royal Dutch Shell wrote:  ”We understand that the only competitive advantage the company of the future will have is its managers’ ability to learn faster than their competitors.”    I don’t think many people today would agree on it just being about the “managers.”  We tend to be more inclusive in our organizational learning mandates, these days.

In his blog post, Bill Taylor quotes business guru Gary Hamel, who says that the key question for organizations (and individuals) is,  “Are you learning as fast as the world is changing?”  

Or rather, that was the question.  According to what I’m reading here, the question now may be:  “Are you teaching as fast as your industry is learning?”

Social Engagement All Boils Down to Two Things… no wait, Three Things… no wait…

There are three primary factors that determine whether you are comfortable interacting with someone — an intuitive approach/avoidance decision called  ”social engagement.” 

These three factors are:

  1. their level of competence
  2. how likeable they are
  3. their intention towards you

..or at least how well you’re able to figure those things out, in a given moment.

The rest, as they say, is just commentary.


BACKGROUND DETAIL:

In a great recent post on his blog, Will Thalheimer takes a review of the research of acclaimed psychologist Susan Fiske, and applies it to the question of how learners make judgments about instruction (and instructors), and how this affects their learning.  This is must-read stuff for any trainer, as well as any designer of online learning.   Thalheimer quotes a review of Fiske’s work, by Jesse Erwin: 

 ”…after years of research, it looks like social cognition [how we make decisions about other people] can be boiled down into judgments of two key elements: warmth and competence.”

Competence” is easy enough to understand — it’s a person’s ability to do the things we’d want them to be able to do, in a given situation.  “Warmth” as defined by Fiske includes just about everything else we’d want that person to have… including two major behavioral categories  that I call “Likeability“  and “Intention.”   But before we get there, let’s just go with “Competence” and “Warmth,” and let’s just say it all boils down to a handy 2×2 matrix (doesn’t it always?) :

Warmth-Competence-2x2-Matrix

The above matrix reminds me of the intuitive, Trusted Leader Assessment that I introduced a while back (In a nutshell, ask yourself two questions:  1) Would you want to be stuck out in the ocean, in a life boat with this person? (competence)  and,  2) Would you want to be stuck on a desert island with them? (warmth)  ).  But hey, this 2×2 matrix is cleaner than stories about life boats and islands, and besides, it’s research-based, peer-reviewed psychology… not some blogger’s crazy metaphor. 

The idea behind Fiske’s  ”Competence” and “Warmth” formula is that, at the deepest level, our brains use a series of very basic approach-avoidance decision factors…  and a willingness to approach (or “engage”) socially is, in many ways, an intuitive decision of how much you trust a person.

Charles Green and David Maister have a four-part formula they use to measure a thing called Trustworthiness.  The formula looks like this:

TRUSTWORTHINESS = (  Credibility + Reliability + Intimacy ) / (Self-Orientation)

Combining the ideas of “Credibility” and “Reliability” in the above formula  into what Fiske calls “Competence,“  we’re left with Fiske’s “Warmth” which I’ll separate into two factors:  How “Likeable” a person is (similar to what Maister and Green call “Intimacy“) and what a person’s “Intention” is –  in other words, “which team are they playing for?”  This is similar to Green and Maister’s idea about “Self-Orientation.”  It’s kind of clumsy looking, and real life is of course infinitely more complicated that this,  but here’s how all these “equations” might “reconcile” with each other:

 (  Credibility + Reliability + Intimacy ) / (Self-Orientation)

= ( Comptence + Warmth)

= ( Comptence + Likeability+ Intention)

On a basic level, we like to be near people who are capable (Competent) – that’s their ability to help us.  Whether you’ve got a degree in Evolutionary Psychology or have spent enough time in a  singles scene, you intuitively understand this… it’s the natural tendency for many animals to gravitate towards the “stronger” members of their group (actual definition of “stronger” may vary), and to avoid the “sickly” members (same disclaimer as before).

We also want to be near people who are generally nice and agreeable (Likeable) – that’s their ability to give us the “warm fuzzies” with build rapport-building behaviors such as body language, appropriate humor, positive energy, enthusiasm, etc. The word ”likeable” is interesting — we ”like” people who are “like” us – our mammalian brains are programmed for this, with mirror neurons which facilitate the social bonding process.   

However, we also want to be near folks who have our best interests in mind, or who at least share our interests — that is their Intention — and it’s a very basic, tribal behavior.  This person make behave in a friendly, Likeable manner and have lots of Competence, but what is their Intention?  All niceties aside, what is their level of loyalty and motivation to share?   They may be able to help us, but what about their willingness to help? 

Conversely, sometimes a person appears to have a great deal of Competence and appear to have very positive Intention vis-a-vis our interests, but they’re just not very Likeable to us.  Often that’s an issue around communication style or cognitive style.  Where there’s conflict, it’s may be simply because one person is “annoying” or  ”gets on the other’s nerves.”    

My armchair psychologist /crackpot theory is as follows:  On a more basic level — somewhere below the outer edge of the cerebral cortex – likeability and intent are one and the same — one is a signal for the other — hence Fiske’s unified concept of Warmth.  Once you start adding meta-cognition, the two ideas of Likeability and Intent will separate more, and the behavioral signals lose their fidelity. Bunny rabbits don’t fake their love. We humans, on the other hand, sometimes do.

So we take these three factors and build a cube…

 

As you go through the position-scenarios of this model, you see that the distinction between Likeability and Intention is non-trivial, especially in business relationships.  Bringing it back to a learning context however, I think the factor of Intention translates to Learner Focus.  As an example of this distinction in action:  There are some very competent, charismatic trainers out there, but they are entirely self-focused. We’ve seen them, we’ve met them. We’ve also met all seven of the other variations of this model.

Yeah, visually its more challenging than the ‘ol 2×2 matrix, but intuitively, is this really too complicated?   Or should we stick with the warm fuzzy competent bunnies?

The Marshmallow Test (aka Meat Before Pudding, aka The Cake Is A Lie)

The Marshmallow Test is another one of those colorful psychological experiments from Stanford University from the late 1960s / early 1970’s,  which illuminates our understanding of the psychology of human beings, and how we behave under different conditions. 

This diabolical test pits a four-year-old child against a marshmallow:  The child’s goal is to sit in front of the marshmallow, unattended, for up to 20 minutes… an eternity from the child’s perspective.  If the child can hold out against temptation, they get a second marshmallow.  


(hat tip to Shira I / Anne S)

The original experiment and its results have been replicated numerous times, across different ethnic and socioeconomic groups. The guy who designed the original experiment, Walter Mischel,  explained that the original purpose of the study was to identify the mental processes that allowed some people to delay gratification.”   

marshmallowsBottom line:   The kids who were able to resist eating the marshmallow were the ones who deliberately shifted their focus away from the marshmallow.  This technique is called metacognition, which is a way to self-manage the contents of one’s working memory.

As the old Spanish saying goes, “lo que resiste…  persiste.” 

 If you’re interested in learning more about this, check out this great New Yorker article about the Marshmallow Test.  Unable to sit through a whole 20 minute marshma-I mean-New Yorker article?   Ok, I’ve also pasted a brief excerpted from the article, at the end of this post.   Or you can just go ahead and post your comments, below. 


 Now, for those of you still reading this and hungry for more, let’s take a look at three important lessons / counter-points to The Marshmallow Test:

  1. The Marshmallow Test as a Predictor of Success in Life
  2. The Marshmallow Test as a “Just Another Brick In The Wall”
  3. The Marshmallow Cake is a Lie

Read more »

Cognitive Ability vs Energy Drink Consumption

Here’s my contribution to the wonderful world of GraphJam

CognitiveFunction_vs_EnergyDrinksConsumed

Logic and Emotion

In learning and communication,

logic and emotion either work together in concert,

or one will rub the other out.

If A Robot Can Build Rapport, You Can Too

An article in this week’s New Yorker describes medical robots under development  which adapt their communication style, when they interact with human patients.  As a result of some very simple strategies of “style flexing,”  these robots are more effective coaches for recovering stroke victims and patients with Alzheimer’s.

Here are some choice excerpts from the article:

(Maja) Matarić’s work on social robots, however, must address a higher level of complexity. “The challenge is to have cognitive models built into the robots, so the robot understands how to motivate people,” (Allison) Okamura says.

(…)

(The patient) said, “When I’m at home, my husband is useless. He just says, ‘Do it.’ I much prefer the robot to my husband.”

(…)

..robots that were programmed to behave as introverts or extroverts. A robot’s degree of sociability was defined by how far it positioned itself from the patient, the speed of its movements, and its type of communication. For people who were more extroverted, Matarić programmed the robot to move close. “We are not talking sociopathically close, because we always maintain three to four feet of safety distance between the user and the robot,” she explained. “But, with the extroverted robots, they move into your area, and talk with a slightly higher pitch, more words per unit time, and they say things that are more forceful, like ‘Come on, you can do three more. I know you can do better than that.’ ” The more introverted robots were programmed to stay farther away from the user, to gesticulate less, and to speak with a slightly lower pitch and at a slower tempo. “You don’t want to make the introversion glaring,” Matarić said. The introverted robots also said more soothing things and offered more praise.

(…)

..Matarić and her co-workers developed an algorithm for learned behavior, with the robot adapting to match the participant’s preferences in terms of therapy style, interaction distance, and speed of movement. The robot was able to gauge the subject’s time and success in performing the assigned task and then to modify its behavior accordingly. “We actually had the robot slightly shift its personality, gradually, while interacting with the user,” Matarić said. This capacity to adapt is called “machine learning.” The programming has to be carefully done, she explained, because “you don’t want the robot to schizophrenically suddenly change. You don’t want it to become a dictator all of a sudden, because that breaks the whole engagement.” She went on, “But over time, with slow changes, you end up somewhere that’s quite different from where you started. The notion of social engagement is to keep people doing something even if they really don’t want to do it. It may be painful, it may be boring, it may remind them of their disability, which is frustrating. But we know you need to not be in your comfort zone, because if you are fully comfortable, then you are not pushing yourself enough.

Human coaches, Matarić explained, might read a person’s facial expression, but even an intelligent robot has difficulty interpreting nuances in lighting and appearance. Also, patients may mask their feelings. To overcome these problems, Matarić’s team placed galvanic sensors on a band on the subject’s upper arm, whose readings Matarić believes will provide the robot with sufficient information about whether a patient is being challenged or becoming frustrated.

(…)

So, the next time the person you’re working with is “too introverted” or “too extroverted” for you, just  remember:  There’s a robot out there just waiting to take your job.

The article ends with some cautionary notes: 

Sherry Turkle, a professor at M.I.T. who has expertise in psychology and sociology, is concerned about both the stated need for robots and, she says, the risks they pose to “the most vulnerable populations—children and elders.”  

(…)

“..there is no upside to being socialized by a robot.” Based on her observation of groups of different ages, Turkle has found that “children and the elderly start to relate to the object as a person. They begin to love it, and nurture it, and feel they have to attend to the robot’s inner state.” With this attachment and projection of their emotions, Turkle says, people begin to seek reciprocity, wanting the robot to care for them. “We were wired through evolution to feel that when something looks us in the eye, then someone is at home in it.”

Robots, Turkle argues, risk distorting the meaning of relationships, the bonds of love, and the types of emotional accommodation required to form authentic human attachments. She questions whether robots are necessary in the settings that Matarić and others are exploring. “What human purposes are served by fostering these attachments?” Turkle asks. “The benefits have to be extraordinary, and, as far as I’m concerned, the jury is still out. You are dealing in deception about what is fundamentally human—the nature of conversation, attachment, nurturing.” She is not convinced that the elderly in nursing homes need robots. “Why not people?” And she is not convinced that robots serve as a bridge for autistic children to learn how to connect with family or friends. Only a small number of children have participated in studies, Turkle notes, and there are no data on long-term effects. And while Turkle does not doubt the good intentions of roboticists like Matarić, she points out that the direction, if not the purpose, of their research is to produce a robot that can function independently of a human therapist. “Is it something a robot can really do that a person cannot?” she asks. “Why is a machine touching something in us that is so appealing?”

In Turkle’s interviews with people who interact with robots, she has been struck by how many state that they “can’t trust people,” and that the robot offers a safe and secure relationship. “We need to really think through now where we are headed with social robots, whether we really don’t have people for these jobs.” The idea that robots will teach people to relate to others, she says, is as fallacious as the argument that e-mail facilitates telephone conversation and then direct discussions. “People lock into the place where they can hide and feel safe,” she said. “And while we know this with computers, we seem ready to move ahead with robots that are designed to perform in a way so that a person believes there is somebody at home. If the patient actually learns something about himself, then I could imagine that these objects would be valuable. But that is not proven. Right now, it’s a giant social experiment with real risks.”

Matarić is aware that intelligent social robots raise worries about emotional impact. She and her team, in the course of their research, have asked, What happens if a robot breaks down, or is taken away, after the person invests the robot with the qualities of a grandchild or a companion? What if a user begins to treat the robot like a slave, and then extends this destructive behavior to a family member or a friend? And, even if the machines are unaware of morality, robots must be prepared to act ethically. Her team is trying to envisage future ethical dilemmas. For example, if a patient being assisted suddenly needs emergency attention, what is the robot’s responsibility? Matarić is trying to create independent robots that are able to perform the tasks of human caregivers and are capable of displaying empathy toward patients. “But robotic interaction should not replace human interaction,” she said. “It should only improve it.” 

I think this technology provides some good hope/evidence for all the extremely shy geeks out there:  Sociability can be learned.  You just need to improve the accuracy of your sensors and hard-wire your behavior with some good, adaptive algorithms. Run the program from a few years and before you know it, AI  (or in this case, EI), may actually emerge on its own…

 

What Do You Value?

From a friend’s status update on Facebook:

Sandra: if it costs more than $1,000, I feel like I should be able to take a hammer to it, and have it still work when I’m done with it.  (Yesterday at 9:04pm)

Dan:  again with those Ming Vases, Sandra… how many times to I gotta tell ya… (13 hours ago)

Sandra:  I question where we place value. (11 hours ago)

Dave: I bought a 6-pack of temporary-adhesive towel hooks for $10 (for the adhesive strips) and a concrete cinder block for $1.80. Makes you question how we decide how much we’ll pay for things. (3 hours ago)