More about Trust

Let me share my thoughts with you about this issue. We have been collecting different attributes of what we mean by "trust". Summarizing (more or less) :

  • Clint: To rely on someone as well as a sense of predictability in the behaviour (to do what you say you are going to do). It's also to take care of the others.
  • Esko: The quality of the relationship. Feeling respect and reciprocity
  • Marcus: The basis of many relationships. To understand each other (especially between cultures). He also addressed how you can feel trust.
  • Sabine: A basic ingredient. It arises from the character: reputation, willingness, presence. To give a chance.
  • Tentim: Trust is built from a common goal or ground to start with.
  • Adele: It comes from history, looking backwards, after reflection. "An intention to allow a state to develop"
  • Minjuan: Belief, faith, to openly share yourself. To share your goals. There are different levels of trust
  • Diego: Nemawashi. To develop a shared understanding as a scaffold.
  • Me: A gut feeling. Confidence and predictablity. Physical and ethical dimensions.

Up to a certain extent it seems there are two big dimensions in our definition of trust: what I called "affective" (how we feel) and what I called "competence" (how we do). When I read all the answers I had the feeling of having dealt with this issue before. I reviewed my handbook of social psychology and I found that it seems that people distinguish easily between social-affective competence and intelectual-performance competence for socially valuable values. Further, it seems that the most valued features among people are: sincerity, honesty, understanding, loyal and trustworthy which, in my opinion, fit quite well with our definition of trust. (Lydon: "Interpersonal similarity and the social and intellectual dimensions of first impressions" Social Cognition 6, 269 - 286)

I dug a little bit more to find out why. A possible explanation comes from the implicit personality theory (IPT). IPTs are the beliefs we have about which people's features or characteristics happen together (for instance, quiet people are timid).

 

 

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Thanks for the comment

Thanks for the comment Clint,
It's pretty true what you pointed out about the differences between content and context knowledge. The gift example is particularly insightful. Further, your last sentence has a lot of sense to me: "the higher level principle is that all or most humans see trust as defined by the same set of cues, but we frequently have a different set of filters for interpreting whether a behavior is classified as one of those cues or not". Trust is valuable but what trust implies is different from culture to culture. That makes me think about what is "universal" and what is not and how it should be considered. Let me clarify these ideas.

In the "Big Five" model the Webster dictionary of English was analyzed in order to find the most relevant terms that express personality characteristics. After further analysis those characteristics were factored in 5 main traits. Then those experiments were used in different countries and / or cultures based on english translations. The same big five traits were found. I think that also some studies have replicated the same procedure (starting from the dictionary and so on). Now that you have exposed the difference between content / context I think that, well, if these traits have been found, ok, but does it imply that their meaning are the equal? Or that in order to manage cultural differences a high level of abstraction is needed so that the actual implementations are difficult to implement if we follow them?

Or is it culture really needed? I mean, it would be a "doomed" concept, too big to deal with. That's why up to a certain extent Communities of Practise is helpful because they put you in a more accurate mental framework. But, likewise, to actually implement or track the variables specified in CoPs is not easy. Or maybe we have to forget about everything and see how Amazon, Google and similar sites have dealt with personalization, customization and recommendation issues. Sometimes I think it has sense to look at them. They have faced, let's say, the very first digital global challenges, very similar to the ones e-learning is facing.

You point to the potential

You point to the potential of using the ways that Amazon, Google and other global sites deal with personalization, customization and recommendation issues. I have thought about this as well (and it is very related to my research paper proposal #6 The use of web analytics and decision automation in customizing online experiences for cultural differences). I like it because it is too overwhelming for designers to pre-plan for all the possible user groups and customize for each - and even if they did perhaps they would stereotype too much on something like national differences and not take into account individual variations.

I have several questions about it however:
#1 I wonder if there have been any studies regarding how well it actually works for people?
#2 I wonder especially if the customization is experienced the same in different parts of the world?
#3 I would like to see the algorithms they use to determine their customized recommendations.
#4 I wonder how difficult it would be to transfer from simple recommendation of products to the more complex issues involved in learning?

I think this would be a very valuable study that we could publish. Perhaps we could even pick some of the personalization features on one or two of web sites (like Google and Amazon) - and utilize our team for some interesting research.
For example, after we do a lit review and identify some of the key dimensions in personalization, we create a research environment where we can monitor these variables in the contexts where everyone currently lives.
We could synthesize our results from a cross-cultural perspective, making observations about the experience of it from multiple viewpoints, it's utility in the future of web-based services, and recommendations for additional features of the algorithm to be even better than it is.
If we frame it right and do a solid study, I bet it would make a great contribution and many people in e-commerce and e-learning would be interested in reading it.
What do you think? Is this something you would be interested in?

I am quite interested in

I am quite interested in recommendation systems. I have made a quick search in acm with "recommender systems learning" and few results appear. I think those concepts and ideas are disguised elsewhere in ontologies, taxonomies, learning objects and related concepts. So there can be a new field to explore.

I think that the main difficulty about facing cultural issues is that a top-down thinking implies a lot of preplanning and stereotyping, as you said. A recommendation system, in my opinion, seems to work bottom-up, from people's actions and that may lead to more accurate results (or avoiding the "cultural problem" just by not thinking about it)

Regarding to your questions,

#1 I wonder if there have been any studies regarding how well it actually works for people?
Well, that reminds me a post (in spanish) about a presentation given by Andreas Weigend who worked in amazon and how they were doing experiments in real time to see which one worked better. Although it implies more sales it is more than that: usability, visibility, to get right the suggestion and many more. And that's fascinating.

There should be something. I had a look in the program of the next ACM recommender systems and scattered among the presentations there should be some of the ideas we're talking about.

#2 I wonder especially if the customization is experienced the same in different parts of the world?
No, at least for google. It shows different results regarding on the location. I guess it'd be the same for amazon as well.

#3 I would like to see the algorithms they use to determine their customized recommendations.
Me too. But they are private / copyrighted / secret as the coca cola formula. However I guess there are available a bunch of "ranking algorithms" or similar. (I have read a paper about one of them a long time ago)

#4 I wonder how difficult it would be to transfer from simple recommendation of products to the more complex issues involved in learning?
That's a key question. Let's start thinking of learning as a product :)

This is not the only research question you proposed. To tell you the truth, ALL OF THEM appeal to me. For instance, for #1 (analyzing the team itself) we can make the "twenty statement tests" (or a slight variation of it) and see what happens, just for fun. #2 (eye tracking) would be incredibly funny but I do not have a prior experience. #3 & #4 long but valuable. #5, I am quite interested on that (from your comments in my blog). #7 & #9 are quite related and moral, ethical issues appeal to me. And finally, #10, because I am an IMPDET member.

Especially in Cross-Cultural Situations, this seems interesting

Javier,

Thanks for sharing this connection idea with implicit personality theory. I need to read more on it to understand it better, but I think the central idea of it is interesting particularly in a cross-cultural setting.
The central idea that we build general expectations about a person after we know something of their central traits (e.g. when we believe that a happy person is also friendly, or that quiet people are timid. on the other hand, people who are irritable are seen as messed up in their every other day's life). (adapted from Wikipedia)
But in cross-cultural situations, our predictions more frequently fail. They often do within our own culture too, but I think perhaps it is more frequent cross-culturally. In other words, the implicit rules and cues that we use to identify "sincerity, honesty, understanding, loyal and trustworthy" can often change depending on the cultural context.

For instance, in Riall Nolan's book on Development Anthropology, he makes a distinction between content and context knowledge.

"Content knowledge includes specific details of processes, operations, and formulae – the procedures necessary to accomplish a task. Context knowledge refers to an understanding of a specific environment in which the task will be carried out [and how it will interact, effect and be affected by every other situational factor].

Knowing the vocabulary and grammar of Arabic, for example, is a type of content knowledge. Understanding the appropriate thing to say in Arabic to a particular person at a particular time to produce a specific result is an example of context knowledge.

Gift giving is another example. The mechanics of [making a gift or] shopping for a gift, paying for it, and wrapping it and delivering it might be considered a form of content knowledge. After all, stores, credit cards, and post offices work in roughly the similar ways around the world. But as I've noted, each culture will have a different set of artifacts, behaviors, and associated values.

Many cultures give gifts, in other words, but not all cultures give the same gifts, not all cultures give gifts in the same ways, and not all cultures value gifts in the same way. So although giving a gift looks simple in the abstract, what is chosen, who receives it, and how it is presented – all issues of context – will ultimately determine whether or not the gift is seen within that context as homage, tribute, thanks, appreciation, payment, tipping, a bribe, or perhaps as a deadly insult."

So even in giving a gift, there are often many contextual factors that determine whether it is seen as the cues we use to identify "sincerity, honesty, understanding, loyal and trustworthy" - or as something else.

So perhaps the higher level principle is that all or most humans see trust as defined by the same set of cues, but we frequently have a different set of filters for interpreting whether a behavior is classified as one of those cues or not. Does that make sense? Do you agree?

Thanks for this post.