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Elaborative Rehearsals01:07

Elaborative Rehearsals

Elaborative rehearsal is a crucial cognitive strategy that strengthens information encoding in long-term memory by making meaningful connections between new data and pre-existing knowledge. This approach contrasts with maintenance rehearsal, which involves simple repetition without delving into the significance of the information. While maintenance rehearsal might temporarily keep information active in short-term memory, it is less effective for long-term retention.
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Language Development01:22

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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Therapeutic Communication01:30

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Related Experiment Video

Updated: Jun 3, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Rigorous development of prompting dialogues.

Kenneth J Turner1, Alex Gillespie, Lynne J McMichael

  • 1Computing Science and Mathematics, University of Stirling, Stirling FK94LA, UK. kjt@cs.stir.ac.uk

Journal of Biomedical Informatics
|March 30, 2011
PubMed
Summary

This study developed an automated system using CRESS (Communication Representation Employing Systematic Specification) to create and deploy speech-based dialogues for individuals with cognitive impairments, simplifying task guidance.

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Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
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Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

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Last Updated: Jun 3, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
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Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
06:16

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

Area of Science:

  • Human-Computer Interaction
  • Artificial Intelligence
  • Assistive Technology

Background:

  • Cognitive impairment presents challenges for individuals performing daily tasks.
  • Speech-based dialogues can offer support for everyday activities.

Purpose of the Study:

  • To simplify the design of prompting dialogues for cognitive support.
  • To automate error checking and deployment of these dialogues.
  • To enable voice-based guidance for everyday tasks.

Main Methods:

  • Utilized CRESS (Communication Representation Employing Systematic Specification) for dialogue design.
  • Employed graphical representation for understandable dialogue flow.
  • Automated translation of dialogue designs into formal specifications for verification.
  • Deployed dialogues on a VoiceXML platform.

Main Results:

  • Successfully represented significant dialogues using CRESS notation.
  • Automated formal verification and validation detected dialogue anomalies.
  • Dialogues were automatically realized on a VoiceXML platform.
  • Evaluated dialogues with volunteer users.

Conclusions:

  • Achieved all key research objectives for supporting cognitive impairment.
  • Demonstrated the effectiveness of automated dialogue design and deployment.
  • Validated the usability of speech-based guidance for daily living tasks.