Muh Anshar

Dr. Muh Anshar

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2016 in Biologically Inspired Cognitive Architectures
Verified
Journal Article
Closed access
MAMuh Anshar
Muh Anshar
MWMary-Anne Williams
Mary-Anne Williams

1 December 2007 in Journal of Bionic Engineering
Verified
Journal Article
Closed access
MAMuh Anshar
Muh Anshar
MWMary-Anne Williams
Mary-Anne Williams

7 April 2020 in International Journal of Interactive Mobile Technologies (iJIM)
Verified
Journal Article
Open access
PDF file
SAShamsul Arrieya Ariffin
Shamsul Arrieya Ariffin
CGChristian Glahn
Christian Glahn
MAMuh Anshar
Muh Anshar
FDFaiz Daud
Faiz Daud
TKTee Tze Kiong
Tee Tze Kiong
AKAmirrudin Kamsin
Amirrudin Kamsin
Mobile learning is fairly new in the local context, particularly for STEM subjects in Malaysia universities. However, this raises the issue of the ethics of mobile technology. With the advancement of mobile technologies few studies have been conducted for mobile ethics in student-generated activities. The aim of this research is to investigate the impact of mobile learning student-generated activities ethics in Malaysia. The methodology used in this research is largely qualitative with students from a local university in Malaysia. This novel study developed early themes that sign post factors for mobile ethics in student-generated activities in a Malaysian university context for STEM subjects.

18 February 2020 in International Journal of Social Robotics
Verified
Journal Article
Closed access
PDF file
MAMuh Anshar
Muh Anshar
MWMary-Anne Williams
Mary-Anne Williams

5 November 2025 in JMIR Research Protocols
Verified
Journal Article
Open access
ESEndang Sjamsudin
Endang Sjamsudin
MRMuhammad Ruslin
Muhammad Ruslin
OHOlivia Avriyanti Hanafiah
Olivia Avriyanti Hanafiah
CSCarolina Stevanie
Carolina Stevanie
SKSri Hastuti Kurniawan
Sri Hastuti Kurniawan
Cortino SukotjoCortino Sukotjo
Cortino Sukotjo
Background: Dental students’ competencies are shaped by their training, yet traditional methods with mannequins often lack the depth necessary for comprehensive understanding, potentially impacting clinical proficiency. Immersive reality (IR) innovatively offers interactive and scenario-based environments that may enhance skill acquisition. Objective: This study evaluates the effectiveness of IR-based training implementation in comparison with conventional training methods for dental extractions. Methods: A prospective multicenter randomized clinical trial was conducted. Students were randomized to either IR-based training on open and closed extractions or conventional hands-on tutorials by oral surgeons. Post training, participants’ satisfaction and understanding were assessed and analyzed. Results: As of September 2025, 60 students from Hasanuddin University, Makassar, and Padjajaran University, Bandung, have been enrolled, and study enrollment will be expanded to Universitas Sumatera Utara, Medan. Data collection is ongoing and will conclude in November 2025, with expected dissemination in early 2026. Conclusions: IR-based training offers a novel approach that may boost motivation, knowledge retention, and skill transfer in dental education. This pilot protocol explores IR’s feasibility and potential to advance dental students’ competencies. Trial Registration: Indonesian Clinical Research Registry INA-QES4CC5; https://ina-crr.kemkes.go.id/en/studi/207 International Registered Report Identifier (IRRID): DERR1-10.2196/74978

1 January 2018 in AIMS Neuroscience
Verified
Journal Article
Open access
PDF file
MAMuh Anshar
Muh Anshar
MWMary-Anne Williams
Mary-Anne Williams
In contact assistive robots, a prolonged physical engagement between robots and humans with motor disabilities due to shoulder injuries, for instance, may at times lead humans to experience pain. In this situation, robots will require sophisticated capabilities, such as the ability to recognize human pain in advance and generate counter-responses as follow up emphatic action. Hence, it is important for robots to acquire an appropriate pain concept that allows them to develop these capabilities. This paper conceptualizes empathy generation through the realization of synthetic pain classes integrated into a robot’s self-awareness framework, and the implementation of fault detection on the robot body serves as a primary source of pain activation. Projection of human shoulder motion into the robot arm motion acts as a fusion process, which is used as a medium to gather information for analyses then to generate corresponding synthetic pain and emphatic responses. An experiment is designed to mirror a human peer’s shoulder motion into an observer robot. The results demonstrate that the fusion takes place accurately whenever unified internal states are achieved, allowing accurate classification of synthetic pain categories and generation of empathy responses in a timely fashion. Future works will consider a pain activation mechanism development.