• 한국기계가공학회지
• /
• 제15권6호
• /
• pp.109-114
• /
• 2016

This study executes Importance-Performance Analysis (IPA) on existing firefighter helmet attributes and gathers ideas for improvements from fire-fighting officers to develop a convergence firefighter helmet. The results of empirical analysis were as follows: First, the weight, head fitness, ease of wearing and removal, and ease of managing the existing helmet's attributes need urgent improvement. In addition, fire-fighting officers want to add innovative functions such as oxygen deficiency alarms, poison gas sensors, temperature sensors, and network communication systems to the convergence firefighter helmet under development.

• 한국정밀공학회지
• /
• 제33권5호
• /
• pp.349-356
• /
• 2016

This study investigates the effects of convergence firefighter helmet attributes on consumer attitude toward the product and willingness-to-pay. The results of empirical analysis are as follows. First, consumer attitude toward the convergence product is more favorable when conciseness, economical efficiency, and the utility value of the convergence product's attributes are high, while consumer attitude toward the convergence product is less favorable when the perceived risk of the convergence product's attributes is high. Second, consumer willingness-to-pay for the convergence product is higher when conciseness, economical efficiency, and the utility value of the convergence product's attributes are high, while consumer willingness-to-pay for the convergence product is lower when the perceived risk of the convergence product's attributes is high. Based on our results, the implications are discussed for the further development of convergence products.

• 한국정밀공학회지
• /
• 제33권5호
• /
• pp.371-376
• /
• 2016

Safety related workers, such as firefighters, have to wear a protective helmet. The Development of Helmets for safety is in progress to promote the wearable device industry. Several accidents caused by negligence in recent days have raised public attention to safety. For this reason, the amount of national budget funding for the study of fire-fighting and smart safety helmets has increased. However, most previous studies have focused on safety, rather than the application of new technologies based on physical attributes, especially the characteristics of head shape and size, even though fire helmets play the critical role of protection from flames and external shocks etc. in an emergency. This paper will present the smart technologies and newly developed designs for safety helmets that are personalized for each firefighter, based on the characteristics of their head, and will help a rescue operation to be much more safe and efficient.