Deceptive Speech - PowerPoint PPT Presentation

About This Presentation
Title:

Deceptive Speech

Description:

Incorrect inference dodge. Frank Tells Some Lies ... Incorrect inference dodge. Frank: Oh gee, I'm having an. appendectomy that night. ... – PowerPoint PPT presentation

Number of Views:124
Avg rating:3.0/5.0
Slides: 33
Provided by: frank48
Category:

less

Transcript and Presenter's Notes

Title: Deceptive Speech


1
Deceptive Speech
  • Frank Enos April 25, 2005

2
Defining Deception
  • Deliberate choice to mislead a target without
    notification (Ekman01)
  • Often to gain some advantage
  • Excludes
  • Self-deception
  • Theater, etc.
  • Falsehoods due to ignorance/error
  • Pathological behaviors

3
Why study deception?
  • Law enforcement / Jurisprudence
  • Intelligence / Military / Security
  • Business
  • Politics
  • Mental health practitioners
  • Social situations
  • Is it ever good to lie?

4
Why study deception?
  • What makes speech believable?
  • Recognizing deception means recognizing
    intention.
  • How do people spot a liar?
  • How does this relate to other subjective
    phenomena in speech? E.g. emotion, charisma

5
Problems in studying deception?
  • Most people are terrible at detecting deception
    50 accuracy (Ekman Osullivan 1991, etc.)
  • People use subjective judgments emotion, etc.
  • Recognizing emotion is hard

6
Problems in studying deception?
  • Hard to get good data
  • Real world
  • Laboratory
  • Ethical issues
  • Privacy
  • Subject rights
  • Claims of success
  • But also ethical imperatives
  • Need for reliable methods
  • Debunking faulty methods
  • False confessions

7
Frank Tells Some Lies
  • Maria Im buying tickets to Handels Messiah for
    me and my friends would you like to join us?
  • Frank When is it?
  • Maria December 19th.
  • Frank Uh the 19th
  • Maria My two friends from school are coming, and
    Robin
  • Frank Id love to!

8
How to Lie (Ekman01)
  • Concealment
  • Falsification
  • Misdirecting
  • Telling the truth falsely
  • Half-concealment
  • Incorrect inference dodge.

9
Frank Tells Some Lies
  • Maria Im buying tickets to Handels Messiah for
    me and my friends would you like to join us?
  • Frank When is it?
  • Maria December 19th.
  • Frank Uh the 19th
  • Maria My two friends from school are coming,
    and Robin
  • Frank Id love to!

10
Frank Tells Some Lies
  • Maria Im buying tickets to Handels Messiah for
    me and my friends would you like to join us?
  • Frank When is it?
  • Maria December 19th.
  • Frank Uh the 19th
  • Maria My two friends from schoolare coming.
  • Frank Oh gee, Im having an appendectomy
    that night.

11
Reasons To Lie (Frank92 )
  • Self-preservation
  • Self-presentation
  • Gain
  • Altruistic (social) lies

12
How Not To Lie (Ekman01)
  • Leakage
  • Part of the truth comes out
  • Liar shows inconsistent emotion
  • Liar says something inconsistent with the lie
  • Deception clues
  • Indications that the speaker is deceiving
  • Again, can be emotion
  • Inconsistent story

13
How Not To Lie (Ekman01)
  • Bad lines
  • Lying well is hard
  • Fabrication means keeping story straight
  • Concealment means remembering what is omitted
  • All this creates cognitive load ? harder to hide
    emotion
  • Detection apprehension (fear)
  • Target is hard to fool
  • Target is suspicious
  • Stakes are high
  • Serious rewards and/or punishments are at stake
  • Punishment for being caught is great

14
How Not To Lie (Ekman01)
  • Deception guilt (vs. shame)
  • Stakes for the target are high
  • Deceit is unauthorized
  • Liar is not practiced at lying
  • Liar and target are acquainted
  • Target cant be faulted as mean or gullible
  • Deception is unexpected by target
  • Duping delight
  • Target poses particular challenge
  • Lie is a particular challenge
  • Others can appreciate liars performance

15
Features of Deception
  • Cognitive
  • Coherence, fluency
  • Interpersonal
  • Discourse features DA, turn-taking, etc.
  • (Some addressed by Statement Analysis)
  • Emotion

16
Describing Emotion
  • Primary emotions
  • Acceptance, anger, anticipation, disgust, joy,
    fear, sadness, surprise
  • One approach continuous dim. model
    (Cowie/Lang)
  • Activation evaluation space
  • Add control/agency
  • Primary Es differ on at least 2 dimensions of
    this scale (Pereira)

17
Problems With Emotion and Deception
  • Relevant emotions may not differ much on these
    scales
  • Othello error
  • People are afraid of the police
  • People are angry when wrongly accused
  • People think pizza is funny
  • Brokow hazard
  • Failure to account for individual differences

18
20th Century Lie Detection
  • Polygraph
  • http//antipolygraph.org
  • The Polygraph and Lie Detection (N.A.P. 2003)
  • Voice Stress Analysis
  • Microtremors 8-12Hz
  • Universal Lie response
  • http//www.love-detector.com/
  • http//news-info.wustl.edu/news/page/normal/669.ht
    ml
  • Reid
  • Behavioral Analysis Interview
  • Interrogation

19
Deception Experiments (Frank92)Addresses lying
as dependent variable.
  • Type and form of lie
  • Concealment
  • Falsification
  • Misdirecting
  • Telling the truth falsely
  • Half-concealment
  • Incorrect inference dodge.
  • Motive for Lying
  • Self-preservation
  • Self-presentation
  • Gain
  • Altruistic (social) lies

20
Deception Experiments (Frank92)Addresses lying
as dependent variable.
  • Scenario
  • Topic of the lie opinion state event.
  • Stakes for lying / stakes for telling the truth.
  • Interval between event and subjects account.
  • Interpersonal structure
  • Characteristics of the liar
  • Characteristics of the target
  • Presence or absence of a coach
  • Presence or absence of others

21
The Good Old Days
  • Mehrabian 1971 Nonverbal Betrayal of Feeling

22
Bulk of extant deception research
  • Not focused on verifying 20th century techniques
  • Done by psychologists
  • Considers primarily facial and physical cues
  • Speech is hard
  • Little focus on automatic detection of deception

23
Modeling Deception in Speech
  • Lexical
  • Prosodic/Acoustic
  • Discourse

24
Deception in Speech (Depaulo 03)
  • Positive Correlates
  • Interrupted/repeated words
  • References to external events
  • Verbal/vocal uncertainty
  • Vocal tension
  • F0

25
Deception in Speech (Depaulo 03)
  • Negative Correlates
  • Subject stays on topic
  • Admitted uncertainties
  • Verbal/vocal immediacy
  • Admitted lack of memory
  • Spontaneous corrections

26
Problems, revisited
  • Differences due to
  • Gender
  • Social Status
  • Language
  • Culture

27
Columbia/SRI/Colorado Corpus
  • With Julia Hirschberg, Stefan Benus, Sarah
    Friedman, Sarah Gilman, and colleagues from
    SRI/ICSI and U. C. Boulder
  • Goals
  • Examine feasibility of automatic deception
    detection using speech
  • Discover or verify acoustic/prosodic, lexical,
    and discourse correlates of deception
  • Model a non-guilt scenario
  • Create a clean corpus

28
Columbia/SRI/Colorado Corpus
  • Inflated-performance scenario
  • Motivation financial gain and self-presentation
  • 32 Subjects 16 women, 16 men
  • Native speakers of Standard American English
  • Subjects told study seeks to identify people who
    match profile based on 25 Top Entrepreneurs

29
Columbia/SRI/Colorado Corpus
  • Subjects take test in six categories
  • Interactive, music, survival, food, NYC
    geography, civics
  • Questions manipulated ?
  • 2 too high 2 too low 2 match
  • Subjects told study also seeks people who can
    convince interviewer they match profile
  • Self-presentation reward
  • Subjects undergo recorded interview in booth
  • Indicate veracity of factual content of each
    utterance using pedals

30
CSC Corpus Data
  • 15.2 hrs. of interviews 7 hrs subject speech
  • Lexically transcribed automatically aligned ?
    lexical/discourse features
  • Lie conditions Big Lie / Little Lie
  • Segmentations (LT/LL) slash units (5709/3782),
    phrases (11,612/7108), turns (2230/1573)
  • Acoustic features ( recognizer output)

31
CSC Corpus Results
  • Classification (Ripper rule induction,
    randomized 5-fold cv)
  • Slash Units / Little Lies Baseline 39.8 err
  • Lexical acoustic 37.2 subject dependent
    33.6
  • Phrases / Little Lies Baseline 38.2 err
  • Lexical acoustic 34.0 subject dependent
    27.9
  • Other findings
  • Positive emotion words? deception (LIWC)
  • Pleasantness ? deception (DAL)
  • Filled pauses ? truth
  • Some pitch correlation varies with subject

32
Our Future Work
  • Individual differences
  • Wizards of deception
  • Mark Frank Mock Theft Paradigm
  • New paradigm
  • Shorter
  • Addition of personality test
  • Higher stakes?
Write a Comment
User Comments (0)
About PowerShow.com