Hasil untuk "Psychology"

Menampilkan 20 dari ~2267021 hasil · dari CrossRef, arXiv, DOAJ, Semantic Scholar

JSON API
S2 Open Access 2013
Un sistema de clasificación de los diseños de investigación en psicología

M. Ato, J. López, A. Benavente

Title: A classification system for research designs in psychology. Abstract: In this work we devise a conceptual framework and develop some basic principles to promove a classification system for the most usual research designs in psychology based on three strategies (manipulative, as- sociative and descriptive) from which emerge different types of studies, three for manipulative strategy (experimental, quasi-experimental and sin- gle-case), three for associative strategy (comparative, predictive and expla- natory) and two for descriptive strategy (observational and selective).

1689 sitasi en Psychology
S2 Open Access 1971
The Theory and Practice of Group Psychotherapy

B. Dick

Originally published in Contemporary Psychology: APA Review of Books, 1996, Vol 41(1), 81. Yalom's text has long been the standard work on group therapy, garnering critical acclaim and clinical use throughout the field. This fourth edition (see record 1995-97355-000) is fully revised and updated to

3428 sitasi en Psychology
arXiv Open Access 2025
BEACON: A Unified Behavioral-Tactical Framework for Explainable Cybercrime Analysis with Large Language Models

Arush Sachdeva, Rajendraprasad Saravanan, Gargi Sarkar et al.

Cybercrime increasingly exploits human cognitive biases in addition to technical vulnerabilities, yet most existing analytical frameworks focus primarily on operational aspects and overlook psychological manipulation. This paper proposes BEACON, a unified dual-dimension framework that integrates behavioral psychology with the tactical lifecycle of cybercrime to enable structured, interpretable, and scalable analysis of cybercrime. We formalize six psychologically grounded manipulation categories derived from Prospect Theory and Cialdini's principles of persuasion, alongside a fourteen-stage cybercrime tactical lifecycle spanning reconnaissance to final impact. A single large language model is fine-tuned using parameter-efficient learning to perform joint multi-label classification across both psychological and tactical dimensions while simultaneously generating human-interpretable explanations. Experiments conducted on a curated dataset of real-world and synthetically augmented cybercrime narratives demonstrate a 20 percent improvement in overall classification accuracy over the base model, along with substantial gains in reasoning quality measured using ROUGE and BERTScore. The proposed system enables automated decomposition of unstructured victim narratives into structured behavioral and operational intelligence, supporting improved cybercrime investigation, case linkage, and proactive scam detection.

en cs.CR, cs.AI
arXiv Open Access 2025
Development and Validation of Engagement and Rapport Scales for Evaluating User Experience in Multimodal Dialogue Systems

Fuma Kurata, Mao Saeki, Masaki Eguchi et al.

This study aimed to develop and validate two scales of engagement and rapport to evaluate the user experience quality with multimodal dialogue systems in the context of foreign language learning. The scales were designed based on theories of engagement in educational psychology, social psychology, and second language acquisition.Seventy-four Japanese learners of English completed roleplay and discussion tasks with trained human tutors and a dialog agent. After each dialogic task was completed, they responded to the scales of engagement and rapport. The validity and reliability of the scales were investigated through two analyses. We first conducted analysis of Cronbach's alpha coefficient and a series of confirmatory factor analyses to test the structural validity of the scales and the reliability of our designed items. We then compared the scores of engagement and rapport between the dialogue with human tutors and the one with a dialogue agent. The results revealed that our scales succeeded in capturing the difference in the dialogue experience quality between the human interlocutors and the dialogue agent from multiple perspectives.

en cs.CL, cs.AI

Halaman 35 dari 113352