Johari window

Very similar to one of my early proposals of group mapping and visualization …

screenshot-demo_007-argentini-pino-berlusconi original post

… I’ve found an visualization approach, called the Johari window. It uses a set of adjectives that all members of a group use to describe / score each other. I’ve used an online johari tool, filled in testdata about myself (pljvp) and let 2 ‘others’ (pljvp1 & pljvp2) score my data as well. Here’s the result

Arena

(known to self and others)

searching, sympathetic, trustworthy

Blind Spot

(known only to others)

complex, friendly, giving, happy, patient, relaxed, self-assertive

Façade

(known only to self)

intelligent, self-conscious

Unknown

(known to nobody)

able, accepting, adaptable, bold, brave, calm, caring, cheerful, clever, confident, dependable, dignified, energetic, extroverted, helpful, idealistic, independent, ingenious, introverted, kind, knowledgeable, logical, loving, mature, modest, nervous, observant, organised, powerful, proud, quiet, reflective, religious, responsive, sensible, sentimental, shy, silly, spontaneous, tense, warm, wise, witty

All Percentages
able (0%) accepting (0%) adaptable (0%) bold (0%) brave (0%) calm (0%) caring (0%) cheerful (0%) clever (0%) complex (50%) confident (0%) dependable (0%) dignified (0%) energetic (0%) extroverted (0%) friendly (50%) giving (50%) happy (50%) helpful (0%) idealistic (0%) independent (0%) ingenious (0%) intelligent (0%) introverted (0%) kind (0%) knowledgeable (0%) logical (0%) loving (0%) mature (0%) modest (0%) nervous (0%) observant (0%) organised (0%) patient (50%) powerful (0%) proud (0%) quiet (0%) reflective (0%) relaxed (50%) religious (0%) responsive (0%) searching (50%) self-assertive (50%) self-conscious (0%) sensible (0%) sentimental (0%) shy (0%) silly (0%) spontaneous (0%) sympathetic (50%) tense (0%) trustworthy (50%) warm (0%) wise (0%) witty (0%)

Created by the Interactive Johari Window on 6.8.2011, using data from 2 respondents.
You can make your own Johari Window, or view pljvp’s full data.

 

The johari window maps the attributes and shows how people think of me and how I think about others. As others judged me, I could judge others as well.

The first difference to my own approach is that I used a small set of words (from a 3Dimensional model) and let people map each others pictures on it, instead of using a big set of words to cluster these into a 2D grid. So Johari creates cluster attitudes per person whereas my own approach creates a stacked overview of a users, for a smaller set of attributes.
Second, Johari used datacollection through a selection of key words, whereas I used a slide on which pictures could be arranged. We can suggest that both tools could use interview techniques, combined with word counting or labeling methods as well.
Third, as this wiki article suggests, the Johari window indeed ‘seems closely related’ to Myers-Briggs Type Indicator, both enabling people to better understand themselves and their position, in order to make better decisions. However I am looking for a visualization that can create an impact on group behavior, focussing on expressing and debating (shifts in) perceived attributes like e.g. loyalty to a group level. A visualization that helps groups come straight to the point and does not necessarily need support from professional or time consuming interview techniques. The dialogue should come after the visualization, focussed on the problem and enabling people. Not before.

Of course, the Johari window  can also be used offline, i.e. like a classic board game with textcards. Althoigh I must say I’m really charmed by the simplicity of Kevan Davis’ online example and impressed with both his website and his twitter picture! Nice add on: a nogari version with failing orriented, negative attributions / keywords:

nogari

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Hollywood’s group behavior

Tuckmann’s stages of forming-storming-norming-performing-adjourning are nicely explained through this re-cut of Remember the titans.

The stages in plain english: whoop there’s a group – we oversteer – we balance out – we do our stuff – we leave.

Looking forward to intergroup relations, I am trying to reset my thoughts about movies like Transformers (2007) and StarTrek (2009), recognizing the small groups now, together with re-priorizing loyalties and constant balancing of sovereignties. Loyalties and sovereignties seem to carefully switch between protagonists and antagonists,·between humans and even inanimate objects, within the dimensions of place, time and decision making unit (on individual, team, group and GROUP levels).
Of course, these are made up storylines and pre-fabricated group behavior. Nevertheless they’ve originated from a human perspective, assuming JJ Abrams and his colleages don’t use an army of typing monkeys when taking hold of us and trying to max out our attention spans.

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Neural bases of cooperation and competition

Decety et al. wrote a very intersting article, comparing cooperation and competition using brain scans.

Cooperation and competition are two basic modes of social cognition that necessitate monitoring of both one’s own and others’ actions, as well as adopting a specific mental set.

They demonstrate that for both modes two identical parts are active: (1) a network serving executive functions which enables flexible behavior and (2) a part involved in the sense of agency, that is ‘the feeling that we are the cause of our actions and their consequences’. This latter part:

is shown to play a role in the integration of emotion and behavior.

Both parts play a crucial role during social relations:

… both cooperation and competition involve anticipating the behavior of one’s social partner, which relies heavily on ‘‘mentalizing,’’

Moreover, 

… distinct regions were found to be selectively associated with cooperation and competition…

They argue -within a context of 1 self and 1 other- that cooperation is a more socially rewarding process, backed by ample evidence from evolutionary and developmental psychology (no sources, but we get the point). Another difference is the suggestion that self-other merging is greater in cooperation conditions.
Further on Decety et al. state that:

Adopting a competitive stance requires a {stronger} mentalizing component to maintain both self and other perspectives of the game and therefore, we hypothesize, requires the computing resources of the medial prefrontal cortex.

What does this research mean to group behavior? It helps us to define group behavior.
First of all, without individual motivation, intention and behavior nor group competition nor group cooperation will exist. Or won’t it? Take some grass on a sand dune. They will ‘compete’ for space and water (with each other and other species), and they will ‘cooperate’ making the dune resistant to wind. They have not really a motivation, intention or individual behavior, although the physical nature of the tussocks of grass seems to imply ‘human’ charcteristics. We seem to descibe group behavior with the same attributes as we use to describe individual behavior. Not sure yet how to deal with this. Let’s park it for now.

Second, let’s look closer at the ‘sense of agency’. When I type these words using my fingers, knowing I move them is an example of sense of agency (SA). Knowing these are indeed my fingers, is a sense of ownership (SO). Normally these senses are intertwined. Schizoprenic people have no integrated SA & SO: 

… the schizophrenic patient has a sense of ownership, but not a sense of agency (source)

Knowing this and reading back on this previous post, we could hypothesize that all group cooperations are -in a way- schizophrenic.

Third, taking the social reward of cooperation into account, what does that mean to the concept of differentiation on time, place and decision making unit? In other words, what does it mean to loyalty within and between groups.

coopcomp2

Apparently different cooperative relations at the same time result in competition between those cooperative relations. We can say there is lively rivalry between social rewards. Time for a break to try and become truely aware of this other level.

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Assumptions and attributes

Reading the basics of attribution theory underlines the necessity of this research. It turns out that:

… as Fritz Heider says: “our perceptions of causality are often distorted by our needs and certain cogintive biases”… (wiki, Forsyth Donelson: Social psychology, 1987, Brooks/Cole publishing)

This reflects another quote, criticizing the phases of the transtheoretical model:

… “the model ‘assumes that individuals typically make coherent and stable plans,’ when in fact they are not” . (wiki, R. West: Time for a change – putting the transtheoretical model to a rest)

Amen.

According to Ajzen & Fishbein (Fishbein, M. and I. Ajzen (1981), “Acceptance, yielding, and impact: Cognitive processes in persuasion,” Cognitive processes in persuasion, R. E. Petty, T. M. Ostrom, and T. C. Brock; Hillsdale, NJ: Erlbaum, pp. 339-359.:

… “different arguments have to be constructed for changing a belief or conclusion, an attitude, and an intention or behavior” …

Exactly why a multidimensional approach stays preferable instead a focus on just one or two. Humans are good in finding or creating arguments. We just need (some help) to learn and recognize which dimensions these arguments apply to. And whether we use the right amount of dimensions.

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Planned behavior

On an individual level, I did find one approach that might help shed some light: theory of planned behavior (Ajzen, I. , 1991, The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211).
The theory of planned behavior offers a model where behavioral, normative and control beliefs influence respectively a persons (1) attitude toward behavior, (2) subjective norm and (3) percieved behavioral control. Together this guides a persons intentions, which steers the behavior.

theory_planned_behavior-1·source and explanation (image: copyright 2002 Icek Aizen)

 

…perceived behavioral control refer’s to people’s perception of the ease or difficulty of performing the behavior of interest. … perceived behavioral control can, and usually does, vary across situations and actions.

Again, so far no hard link to group behavior (or other external drivers, which is common in behavioral change theories). Although all boxes originate from an individual, cognitive self regulation point of view, there is no reason to neglect the fact that they can also act as interpersonal drivers within group behavior. To help make some constructive noise and help surface intentions an loyalty. According to Aizen, all intervision should target the beliefs, and through adjusted intention it will change behavior.

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Runtime memory behavior

How long will it take before we can map the use of not only computer memory, but also our (working) storage / memory parts of our brains? That way we could be optimizing not only abstract algorithms, but also optimize our complex interactions, thoughts and what not.

…and true, we are not machines. Or are we, deep down inside?

Without it, we couldn’t enjoy watching a Margitte. Whether we can solve that puzzele from a theory of mind perspective or a philosophy of mind perspective, I don’t know…

magritte-notrepro

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Loyalty and (dis)behavior

In 1999 Prof. dr. Theo Poiesz published a book called ‘Gedragsmanagement’ (behavioral management), explaining the triade model. A model based on his research on Human Movement Sciences.

Poiesz uses a factorization of Motivation, Ability and Opportunity (Dutch: motivatie, capaciteit, gelegenheid) as guidance towards targetted behavior. The model offers a simple system for the explanation, influence and prediction of behavior. It is up to the user of the model, which behavior is targetted. The model suggests three necessary causes of the targetted behavior:

  • Motivation: the degree of a persons interest in (the result of) this behavior
  • Ability: the degree of a persons skills, capacity, experience and instruments to show this behavior
  • Opportunity: the degree to which time and circumstances stimulate or obstruct this behavior

Using a factorization (T) means that when one of the factors is significantly lower than the others, it will bring down the total result: T = M * A * O.

triademodel source: the book (dutch)

Poiesz makes a distinction between intrinsic elements (belonging naturally, essential) and extrinsic elements (coming or operating from outside) of each factor, for example:

intrinsic extrinsic
motivation interest,
satisfaction
encouragement,
appreciation
M
ability

fitness,
natural ability,
self assurance

quality of material
{knowledge}

A
opportunity reserved personal planning,
time & place
facities,
external conditions
O
TOTAL

All factors need to be concerned at all times: i.e. when a person cannot find the time to act (unreachable O), he could decide to give up (lowering M). And by just informing (raise A) & facilitating (raise O), Motivation is not necessarrilly activated.
Note that a high intrinsic motivation can over rule a low extrinsic motivation. And vice versa.

Poiesz states subjects to score themselves. His approach is an individual one. Mine is targetted towards group behavior.

Therefore my preliminary hypothesis is: When groupmembers use the triade model to score not only themselves, but also the other group members, expressing these assumptions -with a visual reference- will help them overcome differences in complex situations.

The question is, how to visualize models like TriadeModel (like antother model in this prototype), in order to change behavior or change an attitude (opening up attitudes and lowering assumptions) AND help maintain such a change. Perhaps it’s easier to open up when using the triadmodel to ‘judge’ the behavior of each others organisation instead, avoiding intimacy barriers.

What if we could train subjects to actively use just one specific type of model? A model which allows direct feedback. Perhaps the Rose of Leary (adapted and simplified from the 1956 publication). I sometimes draw ‘the Rose’ -for myself- in a meeting, when I get the feeling I can’t connect with a person. I then helps to map his/her behavior (compliant vs blocking and superior vs inferior), because this way I can recognize my own automatic behavior and exchange this for the most optimal behavioral style.
Of course, when going even deeper into this rabibit hole, we can also assume that every behavior can be a unaware trick or a deliberate tactic (stages of competence, Motivation and personality, 1954, Maslow). Especially when taking the traid of Poiesz into account at the same time!

It seems we have a multi-dimensional problem. Let us count which dimensions we have so far:

  1. Intrinsic and extrinsic behavior, labelled with factors of motivation, ability and opportunity (Theo Poiesz)
  2. Compliant vs blocking and superior vs inferior attitude (Timothy Leary)
  3. Stages of competence: (un)consious and (in)competence (Abraham Maslow)

Complementary states like being deceiving or constructive & vulnerable or strong seem to frolic through these dimensions. And let us not forget differentiation over place, time and decision making unit (example).

When looking for a way to lower the energy drain in complex situations, we must conclude that multidimensional indivual behavior somehow is setting the stage for emergent group behavior. Within that group lure new -inertia driven- challenges, like flocking members or convergence towards the first solution. Nevertheless, we cannot neglect the possible origins of these new challenges: the underlying individual dimensions.

Surprisingly the tension of loyalty to both oneself, to the group and to the organizational backbone does not appear in literature about group behavior.

levels_of_loyalty

Loyalty sure is explored (1) by Hirschmann (‘exit or voice’) and (2) in public good games and consumer/brand behavior, although such research is mostly individually orriented and focussing on physical outcome (win/lose) instead of intertwined soft skills.
So far I did not find a direct connection in literature between the dimensions stated above (behavior, attitude, stages, states) and group behavior. 

This is a field for further exploration. Perhaps by making these levels of loyalty explicit within the group, in a way that a constructive dialogue emerges, with a shared perspective of just the right dimensions needed in exactly that moment…

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Approaches to attitude formation

In this slidedeck Prof. Aizen explains the basics of attitude formation. A nice introduction to enlarge my vocabulary concerning group behavior. He kicks off with three approaches:

  • Information-processing approach:  Attitudes based on information about the attitude object.  Expectancy-value model / Persuasive communication.
  • Behavior-theory approach:  Association of attitude object with affect / evaluation.
  • Dynamic approach:  Attitudes emerge as part of a dynamic interplay of forces.

After an example of classical conditioning of evaluation, genaralization and affect and an example of sublimal conditioning Aizen continues with a Dynamic approach, stating 4 attitude functions (Katz 1960):

  1. Ego-defensive function:  Protect self-esteem. (E.g., A need to confirm one’s own masculinity or femininity may lead to a negative attitude toward homosexuals.)
  2. Value-expressive function: Express important values. (E.g., A person who places high value on protection of the environment may adopt a positive attitude toward solar power.)
  3. Knowledge function: Understand people and events. (E.g., A desire to explain why Moslems engage in terrorist activities can produce a negative attitude toward Islam.)
  4. Instrumental function: Obtain rewards and avoid punishments. (E.g., A desire to obtain promotions, salary increases, and other benefits may lead an employee to adopt the political and social attitudes prevalent in an organization.)

Aizen continues outlining a number of attitude ralated theories:

  • Psychological reactance theory (Brehm 1966): “thou shall not eat a cookie…”
  • Rationalization (Allport, 1954): “the dutch are cheap, always splitting up their restaurant bills”
  • Downward comparision theory (Wills, 1981): “I’ve lost a lot of money, luckily I’m not homeless like him”
  • Post hypnotic suggestion (Rosenberg, 1956): “When I click my fingers, you wake up and you don’t care anymore”

Aizen descibes Heider’s balance theory (1958):

my friend’s friend is my friend
my friend’s enemy is my enemy
my enemy’s friend is my enemy
my enemy’s enemy is my friend

More about this theory here. And the source of this image of Heiders POX diagram:
pox
What surprises me is the assumption of ‘you are either with me or against me’. There are no weak ties taken into account, let alone a neutral position.
Let’s continue with Aizens slides.

  • Resolution of incongruity; ‘law of inverse polarization’: “I hate this now as much as I loved it before”
  • Logical consistancy model (McGuire, 1960): “Smoking is bad. I a bar you are forced to smoke. Smoking in bars must be made illegal”
  • Cognitive dissonance (CD) (Festinger 1956): “In 2012 we’re all gonna die. …oh, I can explain…”
    • Conditions for disconfirmation strengthen belief
    • Tactics reducing CD: denying dissonant elements, reducing the importance (weight) of dissonant elements, increasing the importance (weight) of consonant elements, adding new  consonant elements
    • Factors enhancing dissonance due to counter-attitudinal behavior: responsibility for the unpleasant consequences of the behavior, concern over looking bad in front of others, threat to self esteem, [?] Bem’s self perception argument
  • Post decision dissonance (Brehm, 1956)
  • The Monty Hall problem

Aizen concludes with advise when persuading others:

  • Get people to publicly advocate a position with which they disagree.
  • Get people to commit themselves to a course of action that implies the attitude you are interested in.
  • Confront people with their hypocrisy, i.e., show them that they don’t act in accordance with their own attitudes or values.

These three pieces of advise call for action, … supported by visualization!

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Two shower model

This paper by Histe & Skartveit (2003) discusses an interactive learning environment. The setting -one hot water resource to be distributed to two showering persons- is sublime. This example uses visualization -of both model structure and behavior- as one of the possible tools that can be used when dealing with complex systems.

twoshower

Although focussing on a better individual understanding of a complex system, and using a closed sytem, this example raises an idea: use visualization to find stable areas, a set of stable states or characteristic conditions that support decision making.
Suppose we have 3 first graders, one is smart, one is strong and one is funny. Neither of them understands the system, and this lack of control is not a necessity for success. Ask yourself: does a bird need to know about the bernoulli principle in order to fly?
Changing tactics -and reserving place and time for changing tactics- can lead to success as well.

Another aspect -the development of a shared understanding of the system or topic- is discussed. This phenomena is also known as grounding: 

Grounding is the process by which participants in collaborative learning construct and maintain some degree of mutual understanding (Baker, Hansen, Joiner, & Traum, 1999). Common ground does not necessarily refer to the internal knowledge that the participants have in common, but to something that is actively negotiated and renegotiated during the communication process (Arnseth & Solheim, 2002).
… {and beware} …
When interaction is analyzed as a goal-oriented process of establishing common ground, researchers may ignore the ambiguities and dynamics of everyday conversation and collaboration (Koschmann & LeBaron, 2003).

Viste and Skartveit suggest to improve the grounding proces “by a tool that enriches linguistic utterances”: visualization.

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Third party intervention within group research

Comparing third party intervention to visualization, a number of criteria or requirements of the intended visualization come to the surface. We start from McGrath & Kravitz (Group Research, Annual Review of Psychology, Vol. 33: 195-230, Volume publication date February 1982) wo use McGrath’s Task Circumplex (see also this post), and zoom into  the segment of Interest conflict tasks, aka Mixed-motive tasks. 

a) research on bargaining an negotiation – within this area 6 categories are mentioned: (1) work on organizational differences such as gender, orientation along a cooperative-competitive dimension and personality; (2) on aspects of the bargaining situation such as payoffs and the availability of alternatives; (3) the effects of social relationship with the opponent {gap in literature}; (4) on dealing with significant third parties

Rubin (1980) presents a summary of research on third party intervention, organized around three themes:

(a) third parties help concession making without loss of fase {a characteristic shared with visualizations, see Eppler 2011}”;

(b) traditional intervention techniques work under low conflict, but may backfire under high conflict conditions {interactive visualization techniques cannot be called traditional. How do visual interventions stand out in a situation of strong conflict?};

(c) third party intervention is often an unwanted intrusion, and the parties will settle to prevent it if they can {so, exactly how can visualization enable from within? It should be simple/low-thresshold and thereby self-enabling/self-reflecting}.

; (5) effects of situational factors and (6) bargaining strategies and tactics.

b) research on dilemmas – on prisonner’s dilemma, related 2-person games, N-person dilemma games {and perhaps also iterative dilemma games}, social traps and public goods games {see also this post}.

c) research on coalition formation – concentration on process or outcome, on indices for evaluating the fit of a coalition, on a range of conditions (minimum power theory, minimum resources theory, bargaining theory, weighted probability theory, and equal excess theory), on factors affecting coalitions in veto games, and more: the use of formal mathematical models and decision theory, of multivalued games, of compared effects of different sources of power.
Concluding that research suggests there is no ‘one true theory’, and underlines the importance of pinning down the range of conditions.

All of the above is labeled ‘groups as task performance systems’. On order for a complete perspective on the McGrath publication, a short summary of another label: ‘groups as systems for structuring social interaction’.

i) patterning of interaction: the communication process – about morphology (patterns of participation among members and over time, i.e. self monitoring and cognitive load); nonverbal aspects of interaction patterning (cues i.e. eye contact, ‘proxemic’ variables); pattern and strategies in verbal communication (i.e. style differences)

ii) content of interpersonal interaction: the acquaintance process – about studies of interpersonal attraction; intimacy, reciprocity and self disclosure; privacy and social penetration

iii) outcomes of interaction: the influence proces – about allocation of rewards; influences on members’ attitudes and behavior; effects of group interaction on attitudes toward the group (ingroup bias); long run relations among members.

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