臺北市登山健行活動參與者對於智慧型服飾功能需求之研究

Abstract

本研究之目的為探討臺北市登山健行活動參與者對於智慧型服飾功能需求之影響，臺北市登山健行活動參與者包括人口特性背景與其登山健行經驗變數，智慧型服飾功能包括低層次需求功能與高層次需求功能，共33項功能變數。本研究共抽取360份問卷，分別於都會型、中間型及資源型步道各抽取120份作為抽樣地點。 抽樣期間由2006年4月至5月，所得資料經描述性統計、信度分析、因素分析、單因子變異數分析法、Scheffe事後考驗法、集群分析法、卡方檢定與區別分析法後得知本研究結果為：一、臺北市登山健行活動參與者對於智慧型服飾功能需求重要性層面上，認為需求重要性的前三名依序為「知道本身的血壓狀況」、「知道本身的每分鐘心跳狀況」，以及「提供身體機能指標數值達危險時的警鳴功能」，最不注重的功能需求是「提供視聽娛樂的功能」。在此33項功能中，目前僅以「可立即顯示資料」選擇模式均認為「有需要」是具備的。二、臺北市登山健行活動參與者集群分析後，可分為「資淺年輕型登山健行者」、「都會年長型登山健行者」與「資深年長型登山健行者」三種類型，經區別分析驗證結果為有效預測對於智慧型服飾功能需求之分別。三、不同的臺北市登山健行活動參與者之集群對於「肌肉群活動狀況」及「柔軟度」功能有達顯著差異，但經過Scheffe檢定法事後檢驗結果，只有「肌肉群活動狀況」功能達顯著性差異水準，顯示都會年長型登山健行者對其需求重視明顯高於資深年長型登山健行者；其餘功能問項均是未達顯著性差異水準，表示出三者對於其32項智慧型服飾功能的重要程度需求相似，只是程度上有所不同。 本研究結果將作為不同行業與領域關心智慧型服飾功能設計與開發運用於登山健行遊憩活動與參與者層面，可以利用本分析結果來作為智慧型服飾所能提供符合人性需求的功能與消費者區隔市場探討。The purpose of this study was to define the hikers in Taipei for the demand of smart clothing functions. The study investigated three dimensions, which were mountaineering hiker demographic variables, hiking experiences, and the low & high hierarchy demands of the smart clothing functions, totally included 33 functions variables. The study collected 360 subjects from hiking tails, jogging trails, and the mountaineering association in Taipei. Each group selected 120 subjects. Sampling periods was April and May in 2006. The method used structured questionnaire by face-to-face interview and then collected data by statistical techniques. Ten questionnaire administrators were trained to make sure how they could interaction with hikers and explain questions about the purpose of this study. The results from this study showed the three important demands of smart clothing functions were “monitoring pulse, monitoring heart rate, and monitoring physician condition reaching danger alarm” and less concerned about “entertainment”.Four function models was “immediately show data”model which was necessary. Based on demographic variables and hiking experience variables, the study applied the cluster analysis to group three types of hiker, which are “young and less experiencing hikers”(YL), “elder and frequently using the hiking trails near the urban areas hikers” (EU) and “elder and frequently using the rural trails hikers” (ER). The significant differences by one-way ANOVA among the three types of hikers were monitoring muscular fitness and flexibility functions, but after Scheffe test, monitoring muscular fitness was still significant. From the discriminant analysis, the findings about discriminant function1 explained 91.40% of variance totally and Wilks’ Lamda was .892(p<0.005) so that the study used CAN1 equation: CAN1 =-0.732*the demand of monitoring muscular fitness +0.396*the demand of providing GPS information +0.352*the demand of deodorization +0.23. Conclusions from this study indicate demands of smart clothing functions among hikers had 3 necessary functions: “monitoring pulse, monitoring heart rate, and monitoring physician condition reaching danger alarm”. These functions all belonged low hierarchy demands. In the light of the character of smart clothing functions from the study, the monitoring muscular fitness, providing GPS information and deodorization functions could clearly distinguish into three types of hikers (YL, EU& ER groups). The study and development of smart clothing was justified by the demands to respond successfully to hikers. According to the result to suggest that related designers and industrial experts make fitting demand functions of smart clothing.