Advance planning in written and spoken sentence production.

J Exp Psychol Learn Mem Cogn

Department of Psychology.

Published: November 2019

Response onset latencies for sentences that start with a conjoined noun phrase are typically longer than for sentences starting with a simple noun phrase. This suggests that advance planning has phrasal scope, which may or may not be lexically driven. All previous studies have involved spoken production, leaving open the possibility that effects are, in part, modality-specific. In 3 image-description experiments (Ns = 32) subjects produced sentences with conjoined (e.g., Peter and the hat) and simple initial noun phrases (e.g., Peter) in both speech and writing. Production onset latencies and participants' eye movements were recorded. Ease of lexical retrieval of sentences' second noun was assessed by manipulating codability (Experiment 1) and by gaze-contingent name priming (Experiments 2 and 3). Findings confirmed a modality-independent phrasal scope for advance planning but did not support obligatory lexical retrieval beyond the sentence-initial noun. This research represents the first direct experimental comparison of sentence planning in speech and writing. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Download full-text PDF

Source
http://dx.doi.org/10.1037/xlm0000685DOI Listing

Publication Analysis

Top Keywords

advance planning
12
onset latencies
8
noun phrase
8
phrasal scope
8
speech writing
8
lexical retrieval
8
noun
5
planning written
4
written spoken
4
spoken sentence
4

Similar Publications

Human vs Machine: The Future of Decision-making in Plastic and Reconstructive Surgery.

Aesthet Surg J

January 2025

Department of Plastic, Reconstructive and Aesthetic Surgery, Faculty of Medicine, Altınbas University, Istanbul, Turkey.

Background: Artificial intelligence (AI)-driven technologies offer transformative potential in plastic surgery, spanning pre-operative planning, surgical procedures, and post-operative care, with the promise of improved patient outcomes.

Objectives: To compare the web-based ChatGPT-4o (omni; OpenAI, San Francisco, CA) and Gemini Advanced (Alphabet Inc., Mountain View, CA), focusing on their data upload feature and examining outcomes before and after exposure to CME articles, particularly regarding their efficacy relative to human participants.

View Article and Find Full Text PDF

Genotyping Genebank Collections: Strategic Approaches and Considerations for Optimal Collection Management.

Plants (Basel)

January 2025

United States Department of Agriculture Agricultural Research Service Small Grains and Potato Germplasm Research, Aberdeen, ID 83210, USA.

The maintenance of plant germplasm and its genetic diversity is critical to preserving and making it available for food security, so this invaluable diversity is not permanently lost due to population growth and development, climate change, or changing needs from the growers and/or the marketplace. There are numerous genebanks worldwide that serve to preserve valuable plant germplasm for humankind's future and to serve as a resource for research, breeding, and training. The United States Department of Agriculture (USDA) National Plant Germplasm System (NPGS) and the Consultative Group for International Agricultural Research (CGIAR) both have a network of plant germplasm collections scattered across varying geographical locations preserving genetic resources for the future.

View Article and Find Full Text PDF

With advancements in autonomous driving technology, the coupling of spatial paths and temporal speeds in complex scenarios becomes increasingly significant. Traditional sequential decoupling methods for trajectory planning are no longer sufficient, emphasizing the need for spatio-temporal joint trajectory planning. The Constrained Iterative LQR (CILQR), based on the Iterative LQR (ILQR) method, shows obvious potential but faces challenges in computational efficiency and scenario adaptability.

View Article and Find Full Text PDF

A Fuzzy Control Strategy for Multi-Goal Autonomous Robot Navigation.

Sensors (Basel)

January 2025

Department of Product & Systems Design Engineering, University of the Aegean, 84100 Syros, Greece.

This paper addresses the complex problem of multi-goal robot navigation, framed as an NP-hard traveling salesman problem (TSP), in environments with both static and dynamic obstacles. The proposed approach integrates a novel path planning algorithm based on the Bump-Surface concept to optimize the shortest collision-free path among static obstacles, while a Genetic Algorithm (GA) is employed to determine the optimal sequence of goal points. To manage static or dynamic obstacles, two fuzzy controllers are developed: one for real-time path tracking and another for dynamic obstacle avoidance.

View Article and Find Full Text PDF

Terrain Traversability via Sensed Data for Robots Operating Inside Heterogeneous, Highly Unstructured Spaces.

Sensors (Basel)

January 2025

Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.

This paper presents a comprehensive approach to evaluating the ability of multi-legged robots to traverse confined and geometrically complex unstructured environments. The proposed approach utilizes advanced point cloud processing techniques integrating voxel-filtered cloud, boundary and mesh generation, and dynamic traversability analysis to enhance the robot's terrain perception and navigation. The proposed framework was validated through rigorous simulation and experimental testing with humanoid robots, showcasing the potential of the proposed approach for use in applications/environments characterized by complex environmental features (navigation inside collapsed buildings).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!