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A Pragmatic Analysis of Women and Angry Speech: Case Study of The Saudi Arabian Takki Series Farafishah, Nailah; Haeruddin, Haeruddin; Ramadhan, Ilham; Ahmad, Muhammad Anwar
Alsina : Journal of Arabic Studies Vol. 7 No. 2 (2025)
Publisher : Universitas Islam Negeri Walisongo Semarang - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/alsina.7.2.27839

Abstract

This study aims to reveal the forms of illocutionary acts and impoliteness strategies in anger utterances directed at women in the Saudi Arabian series Takki. In Arab culture, angry utterances are not merely emotional expressions but serve as tools for enforcing social norms and patriarchal control. This research employs a descriptive qualitative method with a pragmatic approach. The data, consisting of dialogue excerpts, were analyzed using Searle's speech act theory and Culpeper's theory of impoliteness. The results show that anger utterances in Takki are dominated by directive, expressive, commissive, and declarative acts, accompanied by impoliteness strategies, including insults, prohibitions, threats, and verbal abuse. These utterances reflect unequal power relations between men and women and reinforce patriarchal structures in Saudi society. This study confirms that language functions as a significant tool of social control in cultures where family honor is paramount. By uncovering the pragmatic mechanisms that sustain gendered communication hierarchies, this research contributes to the broader understanding of how linguistic behavior reinforces social ideologies within both pragmatic and sociocultural theoretical frameworks.
Depth estimation in handheld augmented reality: a review Ahmad, Muhammad Anwar; Suaib, Norhaida Mohd; Ismail, Ajune Wanis
Indonesian Journal of Electrical Engineering and Computer Science Vol 41, No 2: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v41.i2.pp589-600

Abstract

Depth estimation involves capturing the depth information of a scene in the form of depth data. This depth information can be applied in computer vision tasks to enhance perception and comprehension. In handheld augmented reality (AR), depth estimation refers to the capability of a handheld device to estimate the depth or distance of objects in the real world based on input from its camera feed. Currently, there is a lack of work that reviews on this topic. Thus, this paper reviews and discusses the technologies regarding depth estimation on handheld devices and their applications in relation to AR. We employ partially the systematic review procedure to allow more specific focus for our, broken into three main focuses. First, we discuss the methods to obtain depth data on handheld devices. Next, we discuss on the existing frameworks that enable depth estimation for handheld AR. Then, we compile and discuss the applications of depth estimation for handheld AR based on the reviewed papers. Finally, we discuss the novelties and limitations of the current research to determine the gaps in this field of research.