Emotions as a criterion for dynamically adjusting search results
Does your emotional state change if you cannot find what you need?
I suppose that usually people begin to show nervousness and haste and harshness characteristic of it, their requests change and ...
This idea ripened long ago and finally took shape when they showed me a quote from the bash, with which this article began:
"the story of one Google search:
s5000vsa fan noise
s5000vsa fans
s5000vsa drown
s5000vsa fan noise
s5000vsa fun control
s5000vsa silent
s5000vsa how to shut this fucking cart "
link to original
Imagine that a search engine tracks the visitor’s emotional background by his behavior on the site. This information is simply added as one of the features that characterize the visitor. Then it will be possible to track the changes themselves from the state characteristic of this person and adapt to it.
With the results of delivery, which are constantly not suitable for the user, he begins to get nervous, and the system should understand that it is time to give the person other results.
In addition to dynamically adjusting the results, and therefore improving the relevance of the search, this will make it possible for the visitor toprompt some kind of messages suitable for his condition.
Generally speaking, when the user is well, then it is easier to push him to some greatshopping achievements. And when he is ill, he can be encouraged. For example, throw links to calming sites, tint the interface slightly, and remind us of something pleasant. Or show a cute picture.
We understand that by “reading” our mail, search engines basically look for what we are interested in, in order to better sell us ads. But they can use this knowledge more pleasantly.
And also it can be used to refuse a captcha, although I believe that then robots will also be taught to “show emotions”.
As this article might be called:
Determining the relevance of search results by the user's emotional state.
Assessing the relevance of search results by analyzing visitor emotions in the search process.
Dynamic assessment of the relevance of search results by analyzing user emotions.
Of course, owning an emotional portrait of a visitor can give us much more than just fine-tuning the results, but in the end it is precisely this that matters.
And yes, such an analysis can be performed on any site. Imagine that the same Yandex.Metrica shows you not only the gender and age of your visitors, but also their emotions in dynamics when traveling through your site. I think this is very important information, especially for e-commerce.
UPD (11/29/2011) Recognition of the emotional state for telephone services
I suppose that usually people begin to show nervousness and haste and harshness characteristic of it, their requests change and ...
This idea ripened long ago and finally took shape when they showed me a quote from the bash, with which this article began:
"the story of one Google search:
s5000vsa fan noise
s5000vsa fans
s5000vsa drown
s5000vsa fan noise
s5000vsa fun control
s5000vsa silent
s5000vsa how to shut this fucking cart "
link to original
Tracking changes in the visitor’s emotional background
Imagine that a search engine tracks the visitor’s emotional background by his behavior on the site. This information is simply added as one of the features that characterize the visitor. Then it will be possible to track the changes themselves from the state characteristic of this person and adapt to it.
Adjustment of Results
With the results of delivery, which are constantly not suitable for the user, he begins to get nervous, and the system should understand that it is time to give the person other results.
Methods that can be used to evaluate
- Mouse speed, sharpness of movement and change of direction
- "Hang" in the search bar (in order to come up with a more suitable query)
- Clarification and multiple edits of the request
- Number of mistakes in words
- Transition Speed Between Results Pages
- Dynamic analysis of time spent on sites that have statistics from this search engine. From which you can immediately understand how previously issued sites were suitable for the user and immediately move similar to them in the far corner or vice versa raise
What else will it give us
In addition to dynamically adjusting the results, and therefore improving the relevance of the search, this will make it possible for the visitor to
Generally speaking, when the user is well, then it is easier to push him to some great
We understand that by “reading” our mail, search engines basically look for what we are interested in, in order to better sell us ads. But they can use this knowledge more pleasantly.
And also it can be used to refuse a captcha, although I believe that then robots will also be taught to “show emotions”.
As this article might be called:
Determining the relevance of search results by the user's emotional state.
Assessing the relevance of search results by analyzing visitor emotions in the search process.
Dynamic assessment of the relevance of search results by analyzing user emotions.
Conclusion
Of course, owning an emotional portrait of a visitor can give us much more than just fine-tuning the results, but in the end it is precisely this that matters.
And yes, such an analysis can be performed on any site. Imagine that the same Yandex.Metrica shows you not only the gender and age of your visitors, but also their emotions in dynamics when traveling through your site. I think this is very important information, especially for e-commerce.
UPD (11/29/2011) Recognition of the emotional state for telephone services