<p>If you want to estimate/classify using implicit measures, whether a user is being deceptive while filling out an <em>online</em> questionnaire ... then methods such as EEG are not suitable.</p>

<p>Recording EEG data takes a lot of preparation and at least one experimenter to prepare the "user" (in your case the person filling out the questionnaire). And if you are talking about <em>online</em> questionnaires, I do not see a point in having an experimenter visit the user.</p>

<p>On the other hand, using (often toy-like) dry-electrodes that could be prepared by a single person, will not yield a sufficient data quality.</p>

<p>I think the easiest might be to consensually access the webcam of a user and evaluate the video stream for e.g., eye blinks, or other tentative variables.</p>

<p>Generally, this sounds like a very difficult task that will probably result in a high number of false positives and false negatives.</p>

CC BY-SA 3.0
2017-11-27T21:09:14.407Z
I think an online test is not the same as a remote test? I can imagine to let subjects perform an online test in an EEG lab? Kudos for getting at such a dated question though.
AliceD
CC BY-SA 3.0
2017-11-27T18:28:20.817Z
2017-11-27T18:28:20.817Z
S.A.
<p>I'm working in my master thesis on a method of detecting user deception or lying when answering online questionnaires using his implicit feedback like sweating, eye focus, EEG etc. </p>

<p>I would like if you could recommend me some related works or books or give me some tips on which implicit feedback should I focus. </p>

CC BY-SA 3.0
2017-12-05T14:54:14.363Z
I guess you wrote your thesis by now. What did you end up using?
got trolled too much this week
<cognitive-psychology><experimental-psychology><eeg><deception>
Effectiveness of implicit measures of deception (e.g., sweating, eye focus, EEG) when filling out online questionnaire
tikend
# Effectiveness of implicit measures of deception (e.g., sweating, eye focus, EEG) when filling out online questionnaire

(Asked by: username_0 on 2015-01-27)

I'm working in my master thesis on a method of detecting user deception or lying when answering online questionnaires using his implicit feedback like sweating, eye focus, EEG etc.

I would like if you could recommend me some related works or books or give me some tips on which implicit feedback should I focus.

**Tags:** cognitive-psychology, experimental-psychology, eeg, deception

> **Comments:**
> **username_1**: I guess you wrote your thesis by now. What did you end up using?  

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## 1 answers

### Answer by username_2 on 2017-11-27. Score: 2

If you want to estimate/classify using implicit measures, whether a user is being deceptive while filling out an *online* questionnaire ... then methods such as EEG are not suitable.

Recording EEG data takes a lot of preparation and at least one experimenter to prepare the "user" (in your case the person filling out the questionnaire). And if you are talking about *online* questionnaires, I do not see a point in having an experimenter visit the user.

On the other hand, using (often toy-like) dry-electrodes that could be prepared by a single person, will not yield a sufficient data quality.

I think the easiest might be to consensually access the webcam of a user and evaluate the video stream for e.g., eye blinks, or other tentative variables.

Generally, this sounds like a very difficult task that will probably result in a high number of false positives and false negatives.

> **Comments:**
> **username_3**: I think an online test is not the same as a remote test? I can imagine to let subjects perform an online test in an EEG lab? Kudos for getting at such a dated question though.  

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