@article{Rachamanee2025125,

title = {Developing Prototype of Piping Design Knowledge Management Systems in the Oil and Gas Industry},

author = {Polpipat Rachamanee and Arisara Jiamsanguanwong},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105016473058&doi=10.4186%2fej.2025.29.8.125&partnerID=40&md5=a72f23816427fdf77d3df6d232cb7179},

doi = {10.4186/ej.2025.29.8.125},

year  = {2025},

date = {2025-01-01},

journal = {Engineering Journal},

volume = {29},

number = {8},

pages = {125 – 134},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sriviboon2025268,

title = {Preliminary Survey on Trust Levels in AI-Clinical Decision Support Systems Among Medical Professionals},

author = {Yada Sriviboon and Arisara Jiamsanguanwong and Ornthicha Suphattanaporn},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105031062876&doi=10.54941%2fahfe1006213&partnerID=40&md5=9426ec994f504abe18033528912c8676},

doi = {10.54941/ahfe1006213},

year  = {2025},

date = {2025-01-01},

journal = {Applied Human Factors and Ergonomics International},

volume = {163},

pages = {268 – 276},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yu2025462,

title = {Toward Intuitive Interaction: A Cognitive Workflow Analysis of Human-Robot Interaction in Extended Reality Interfaces},

author = {Pattaraorn Yu and Arisara Jiamsanguanwong and Gim Song Soh},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105031235345&doi=10.54941%2fahfe1006263&partnerID=40&md5=09b80334ba20ca11ea81eef2df19be64},

doi = {10.54941/ahfe1006263},

year  = {2025},

date = {2025-01-01},

journal = {Applied Human Factors and Ergonomics International},

volume = {195},

pages = {462 – 473},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sriviboon2025,

title = {A gamification training system designed according to a mental model structure: A case study of universal robots},

author = {Yada Sriviboon and Arisara Jiamsanguanwong and Parames Chutima and Oran Kittithreerapronchai},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105022936760&doi=10.1038%2fs41598-025-27670-x&partnerID=40&md5=f9365896439f79e1bac5b3fb328bf14e},

doi = {10.1038/s41598-025-27670-x},

year  = {2025},

date = {2025-01-01},

journal = {Scientific Reports},

volume = {15},

number = {1},

note = {Cited by: 0; All Open Access, Gold Open Access, Green Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jiamsanguanwong2025,

title = {Redesigning Telemedicine for Traditional Chinese Medicine: Service Design Approach to Digital Transformation},

author = {Arisara Jiamsanguanwong and Romanee Luo and Ratchapoom Kaingam and Oran Kittithreerapronchai and Waratta Authayarat},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105025999978&doi=10.2196%2f76752&partnerID=40&md5=81b680f4bf9c99659ef37f40cce4c729},

doi = {10.2196/76752},

year  = {2025},

date = {2025-01-01},

journal = {JMIR Human Factors},

volume = {12},

note = {Cited by: 0; All Open Access, Gold Open Access, Green Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Phongphaew2024442,

title = {Text-based information design for in-vehicle displays: A systematic review},

author = {Nattaporn Phongphaew and Arisara Jiamsanguanwong},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192170808&doi=10.1016%2fj.trf.2024.04.025&partnerID=40&md5=a48c059cb537fd72a54622d00f675822},

doi = {10.1016/j.trf.2024.04.025},

year  = {2024},

date = {2024-01-01},

journal = {Transportation Research Part F: Traffic Psychology and Behaviour},

volume = {103},

pages = {442 – 459},

publisher = {Elsevier Ltd},

abstract = {Reading short texts at a brief glance behaviour has been increasing, especially in the in-vehicle interface of the multitask context of driving. This behaviour led to a change in the approach of preparing and designing in-car information. Consequently, understanding the current status of existing design principles is necessary for designers to find the appropriate solution for text presentation on the in-vehicle display under driving conditions. Thus, the present study conducts a systematic review of text-based information design for in-vehicle displays. A total of 1,495 studies (1980–2022) were screened, and 360 emerged for full-text review; 27 studies met the inclusion criteria, including journal articles concerning the design of text-based information for in-vehicle displays involving text design and the effect on safe driving or reducing workload and distraction. The results were summarised in three themes of literature: existing design guidelines, design factors, and evaluation methodology. The existing guidelines and recommendations focus on the physical presence of text (modality, location, colour, typeface, font size), with few recommendations on the linguistic presence of the text (message style and message length). The discussion and future work section enables further work on developing usable and safe informational text displays on the in-vehicle interface and other short glance reading engagements. © 2024 Elsevier Ltd},

note = {Cited by: 6},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jiamsanguanwong202351,

title = {Improving patients’ experience concerning insufficient informational flow to patients during COVID-19 pandemic: Case study of a traditional Chinese medicine clinic},

author = {Arisara Jiamsanguanwong and Chayapol Ophaswongse and Chaianan Chansirinthorn and Narun Kitirattragarn and Oran Kittithreerapronchai},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132675098&doi=10.1080%2f20479700.2022.2071801&partnerID=40&md5=ed6738e77e5a1e887e7d3e8540a184f2},

doi = {10.1080/20479700.2022.2071801},

year  = {2023},

date = {2023-01-01},

journal = {International Journal of Healthcare Management},

volume = {16},

number = {1},

pages = {51 – 60},

publisher = {Taylor and Francis Ltd.},

abstract = {Objective: To improve patients’ experience concerning insufficient informational flow to patients waiting at the dispensary station–case study of a traditional Chinese medicine clinic. Method: The service system was explored via qualitative techniques such as interviews and constructing the customer journey map. Then, experience and operational issues were defined through experience ratings at each touchpoint, patient interviews, and root cause analysis. The solution was identified via brainstorming and prototyping. A prescription tracking system was proposed with a finish time estimation algorithm. Results: The overall satisfaction score at the dispensary station, comparing before-after system implementation in 2019, was increased 37% from the average score of 3.27 to 4.47 using 5-point Likert scales. The mean absolute percentage error (MAPE) of the waiting time estimation model that included the buffer time (upper bound at 95%) is 52%. Conclusion: This methodology, which included both patient experience and operational improvement viewpoints, could successfully improve both the patient experience and the related operation system at its critical touchpoints. Moreover, the data from the prescription tracking system could be used to estimate the number of patients waiting in the system, allowing the clinic to better manage its waiting space and capacity during the COVID-19 pandemic. © 2022 Informa UK Limited, trading as Taylor & Francis Group.},

note = {Cited by: 2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Thongdonnoi202393,

title = {Application of Collaborative Robots for Increasing Productivity in an Eyeglasses Lenses Manufacturer},

author = {Chanatip Thongdonnoi and Parames Chutima and Arisara Jiamsanguanwong and Oran Kittithreerapronchai and Manida Swangnetr Neubert},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176564994&doi=10.4186%2fej.2023.27.10.93&partnerID=40&md5=1468211c0a610031cb1d733f3ae0e50e},

doi = {10.4186/ej.2023.27.10.93},

year  = {2023},

date = {2023-01-01},

journal = {Engineering Journal},

volume = {27},

number = {10},

pages = {93 – 112},

publisher = {Chulalongkorn University, Faculty of Fine and Applied Arts},

abstract = {This research focuses on a framework for making decisions when adopting collaborative robots (cobots) to collaborate with or replace human workers. Top management at a real-life case study firm that manufactures a variety of eyeglasses lenses wants to implement cobots in the sorting process since such a repetitive task has been shown to have a significant negative influence on workers' ergonomic ailments. Its current procurement decision-making process focuses solely on financial perspectives without taking into account any other significant criteria. Therefore, the purpose of this study is to investigate the elements that are crucial in deciding whether to use cobots in manufacturing lines., Multivariate statistical methods, comprising the exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), are applied to analyse the elements that are associated with the latent variables such as safety, ergonomics, productivity, quality, system, internal organisation and external organisation. In addition, alternative deployments of cobots in the case study are validated through the ARENA simulation software. More specifically, the results showed that using cobots in the workplace might boost output while lowering WIP, waiting times, the number of tasks in queue, and the workforce. In addition, cobots may reduce employee ergonomic risk and enhance workplace safety. © 2023, Chulalongkorn University, Faculty of Fine and Applied Arts. All rights reserved.},

note = {Cited by: 5; All Open Access, Gold Open Access, Green Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Thongprasert2022186,

title = {Design-for-User Acceptance of IOT Home Use Medical Device: A Design Process for IOT Home Use Medical Device},

author = {Apiwat Thongprasert and Arisara Jiamsanguanwong and Uthai Tanlamai},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105036352475&doi=10.54941%2fahfe1002115&partnerID=40&md5=5cd336ec3a727e2673367c46a5d24058},

doi = {10.54941/ahfe1002115},

year  = {2022},

date = {2022-01-01},

journal = {Applied Human Factors and Ergonomics International},

volume = {51},

pages = {186 – 195},

note = {Cited by: 3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}