ECAs and HumanHuman Interaction

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ECAs and HumanHuman Interaction

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Movies. TV-Shows. News. Recordings of Actors. Motion tracking ... Home made (10) NITE, HamNoSys, DAMSL, FACS, DISCOUNT, Binary coding. EECA, Dagstuhl 2004 ... – PowerPoint PPT presentation

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Title: ECAs and HumanHuman Interaction


1
ECAs and Human-Human Interaction
  • Members
  • Elisabeth André
  • Jean-Claude Martin
  • Nuno Otero
  • Matthias Rehm
  • Zsofa Ruttkay (partially)

2
Design and Evaluation Paradigms
  • Krahmer
  • Analysis-by-Synthesis
  • Analysis-by-Observation
  • Cassell
  • Analysis-Design-Evaluation Cycle
  • Michael Kipp
  • Gesture Generation by Imitation

3
Possible Sources of Information
  • Literature experimental results/ models
  • Corpora informal annotation/ micro-analysis/macro
    -analysis
  • Motion capture

4
What Patterns of Behavior can you Extract?
  • Timing and Sequencing of behaviors
  • Model of the context of use of monomodal and
    multimodal behavior
  • Monomodal features types/ number of gestures
  • Multimodal features redundancy/ complementarity

5
What Patterns of Behavior can you Extract?
  • How close to the individual ? Individual
    behaviors (most frequent gestures)
  • Average/subgroups/cultural behaviors

6
Why Use a Corpus?
  • Corpus
  • Application and context-dependent source of
    knowledge on multimodal behaviors
  • Replay function for validating / visualising
    corpus annotation
  • Literature on verbal and non-verbal behaviour
    (bidirectional influence)
  • Consult literature for definition of annotation
    schemes etc.
  • Compare results with findings in literature
  • Combine Corpus literature

7
Topics of the Working Group
  • Use/design of mm human corpora for the spec of
    ECA
  • Limitations due to the ECA ? drive the annotation
    level/coding scheme
  • A corpus as a way to evaluate/compare the
    capabilities of several ECAs
  • Unified specification language for ECAs derived
    from corpus?
  • Design of a questionnaire for the Dagstuhl
    audience
  • Software issues plug-in for replay
  • Collection of links

8
Questions to be addressed
  • What ECA-specific annotation schemes exist?
  • To what theories do they correspond?
  • What qualitative measurements exists?
  • How can we use the results for the creation of
    ECAs
  • What are the criteria for evaluating the
    resulting corpus-based ECA

9
From Questionnaire Tools to categorize users
  • Standard psychological tests
  • Mood/emotion
  • Attitude
  • Personality (Extraversion, etc.)
  • Lies
  • Pre-test (questionnaire)
  • Familiarity with technology
  • Domain knowledge
  • Demographic user information like age and gender

10
Informing the Design of ECAs
1 Own observations of humans 87.1 2 Consult the
literature 87.1 3 Discussion with designers
45.2 4 Other 12.9
11
Evaluation Criteria
1 User objective/subjective response to ECA 100 2
Comparing the ECA behavior with human behavior
25.8 3 Catalogue of Criteria 54.8 4 Other 12.9
12
Use of Corpora
How many used corpus 55.6 1 Extract ECA Behavior
36.7 2 Generate ECA Behavior 23.3 3 Other 23.3
13
From Questionnaire Are Corpora Helpful for ECA
Research?
  • Ground ECA behavior in empircal data
  • multimodal model of interaction
    analysis/synthesis
  • combined verbal and non-verbal behaviors, e.g.,
    match speech and facial expressions
  • listening behaviors
  • relevant idle behaviors

14
From Questionnaire Use/Sharing of corpora
helpful for ECA research?
  • Evaluate ECAs
  • Comparison between ECAs
  • Comparison of ECA behavior with recorded data of
    human behavior
  • Point/system of reference
  • Automatic extraction of behaviors
  • Generation of individual characteristics
  • No (too specific, one person)

15
From Questionnaire Kinds of Information Source
  • Recordings of users (presentation, dialogue)
  • Wizard of Oz
  • Movies
  • TV-Shows
  • News
  • Recordings of Actors
  • Motion tracking

16
From Questionnaire Available Corpora
  • ISLE floorplan corpus (verbal and non-verbal
    deictics) (Bernsen)
  • Acted emotions (Pandzic)

17
Use of Annotation Tools
18
From Questionnaire Annotation tools schemes
  • Tools
  • Home made (4)
  • Anvil (2), Praat (1), Tasx (2), WaveSurfer (1)
  • Schemes
  • Home made (10)
  • NITE, HamNoSys, DAMSL, FACS, DISCOUNT, Binary
    coding

19
Limitations of using corpora for ECA design
  • Re-use of corpora problematic
  • To specific
  • Which parts of a corpus can be re-used?
  • Still unclear to build a model out of the corpus
  • Still unclear how to map the results of the
    corpus analysis onto ECA behaviours.
  • How much HH corpus is applicable for HCI
  • Cartoon exagerated behaviors
  • User expectations of ECAs in an application ?
    human human behavior
  •  Bad examples  of communicative behavior

20
Chances of Using Corpora for ECA Design
  • Grounding the ECAs behaviour by empirical data
  • Application and context-dependent source of
    knowledge on fine-grained multimodal interactive
    behaviours
  • More objective research methodology
  • Replay function for validating / visualising
    corpus annotation
  • A corpus as a way to evaluate / compare the
    capabilities of several ECAs

21
Chances of Using Corpora for ECA Design
  • Extract implicit knowledge (for example, Disney
    Designers)
  • Supports the realization of individual and
    stereotype behaviours (e.g. personality-specific,
    culture-specific, role-specific etc.)
  • Employ knowledge from other areas, such as speech
    processing, statistics

22
Practical Issues
  • Which level of granularity of annotation?
  • Can we automate part of the annotation process?
  • What is the best tool for ECA?
  • Corpora distribution
  • Re-use of corpora

23
Burning/pending Issues
  • Annotation cost
  • Sharing of corpora/integration of schemes
  • Evaluation of corpora/coding scheme
  • Selection criteria application context 

24
Burning/pending Issues
  • How to build a model out of a corpus?
  • How to generate ECA behaviors from corpus?
  • How to evaluate corpus-based ECA?
  • Potential Approach for Cultural-Specific ECA
    Standardized staged or natural situations (e.g.
    asking for directions in different countries)
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