Lecture 3 - SCE Flashcards

1
Q

Hybrid-AI

A

The combination between Symbolic reasoning and machine learning

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2
Q

Situated Cognition

A

Cognition is embodied. Knowing exists, in situ, inseparable from the context

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3
Q

What is SCE?

A

Situated cognitive engineering

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4
Q

Design Rationale of SCE

A
  • Explicit documentation of the design decision with the reasons behind these decisions
  • Provides an argumentation-based structure to key design problems as a mean to record and communicate the argumentation and reasoning behind the process
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5
Q

Methodology (5)

A
  • A COllaborative process of a multi-disciplinary team - Active involvement of stakeholders - Iterative and incremental - Focused Refinement - Coherent specification
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6
Q

Hybrid Intelligence

A

Involves integrating technology into situated care by evolving human agent partnerships: - Common situated objectives - Value-sensitive agreements - Shared knowledgebase and experiences - Mutual uptake and learning by explanation and feedback

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7
Q

Direct Stakeholders

A

Refers to individuals who interact directly with technology

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8
Q

Indirect Stakeholders

A

Refers to individuals who are otherwise affected by the use of the technology

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9
Q

Values for stakeholders

A

Principles of standards of a person or society. What is valuable and important in life.

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10
Q

User Story Example?

A

As a “role” I want “something” so that “reason”

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11
Q

Value Story

A

As a “stakeholder” I want “function” to support “value”

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12
Q

Collaborative Learning

A

Knowledge can be created when persons actively interact with knowledge exchange, sharing experiences and taking asymmetric roles. Reciprocal teaching supports “Learning by teaching” and “Cognitive apprenticeship”

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13
Q

Zones of proximal development

A

Information children need to advance in their individual learning.

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14
Q

Common Situated Objectives

A
  • Achievement: What you want to achieve - Goal: Learn what you have to do get there - Task: What you need to do to achieve the goal TASK -> Goals -> Achievements
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15
Q

Ontology

A

Formal representation of inter-related domain and human factors concepts which can be shared by humans and agents for collaboration

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16
Q

Episodic Memory

A

Ask after an episode of the process to know how was it and learn from it

17
Q

Policies

A

Formal specification of permissions, prohibitions, and obligations for agents behavior - Contains agents behavior to norms - Construct and govern agreements

18
Q

Uptake and learn by explanation

A

Goal-based explanation

Emotion-based explanation

19
Q

Informative Direct feedback characteristics

A
  • Corrective
  • Descriptive
  • Evaluative
  • Confirmatory
20
Q

Motivational direct feedback

A
  • Encouragement
  • Remark
  • Mood matching
  • Praise
21
Q

Human-Agents

A

Developed by SCE

  • Iterative incremental process
  • Theory and empirical driven
  • Combined operation, human factors and technology perspective
  • Stakeholders involvement in design and test activities
  • Producing reusable design specification and implementations