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( Max Hanssen ),( Muneo Kitajima ),( Seunghee Lee ) 한국감성과학회 2023 한국감성과학회 국제학술대회(ICES) Vol.2023 No.-
This study explores the pivotal role of the surrounding walking environment in the development of a walking habit. Extending prior research that identified themes in both familiar and unfamiliar walks conducive to habit formation through a Cognitive Chrono-Ethnography approach, the study conducted a re-analysis of previous interview responses categorized under the overarching theme of 'Surrounding.' Leveraging Nvivo 14 software, these responses were further classified into more granular sub-themes. Findings revealed five distinct sub-themes associated with the surrounding walking environment. Habitual walkers predominantly emphasized the intrinsic value of nature, while occasional walkers placed significance on climate and recreational destinations. Conversely, non-walkers prioritized the attributes of serenity and sensory experiences. These insights serve as a valuable resource for the development of precisely targeted interventions aimed at fostering and sustaining walking habits among diverse populations, ultimately contributing to healthier, more active communities.
The Evaluation of Beneficial Walking Elements to Identify Motivations for Walking Habit Formation
Max Hanssen,Muneo Kitajima,SeungHee Lee 한국감성과학회 2023 감성과학 Vol.26 No.2
This study aimed to build on past findings about differences in personal walking experiences by demonstrating what elements were beneficial to participants with different walking habits. Accordingly, this study established the relationships between valued walking elements and people’s motivation to walk, by dividing participants into three groups: Group W for people with a walking habit, Group HW for people who walk occasionally but not regularly, and Group NW for people who do not walk habitually. Participants walked a familiar and an unfamiliar route with a wearable device that recorded their heart-rate variability and electrodermal activity. Changes in the biometric data helped to identify the defining moments in each participant’s walk. Participants discussed these moments in one-on-one interviews with a researcher to pinpoint their valued walking elements. As a result, this study classified walking elements into six themes: “Surroundings,” “Social,” “Exploration,” “Route Plan,” “Physical Exercise,” and “Mental Thinking.” A walking habit development model was made to show how “Route Plan” and “Exploration” were beneficial to Group NW, “Social” and “Surroundings” were beneficial to Group HW, and “Route Plan,” “Mental Thinking,” and “Physical Exercise” were beneficial to Group W.
Subjective Differences of Walking Behaviors Between Familiar and Unfamiliar Routes
( Max Hanssen ),( Eiji Onchi ),( Muneo Kitajima ),( Seunghee Lee ) 한국감성과학회 2021 추계학술대회 Vol.2021 No.0
The reasons and benefits that people pursue through walking are often unconscious and unknown to many individuals. This research aims to find out whether understanding the underlying factors that make walking interesting could lead to a higher quality of walks. Participants walked an unfamiliar route after their usual familiar route, to identify previously unknown factors that contributed to the quality of their walking experience. The identified factors were categorized into four main themes. The relations that were found between the main themes and participants can act as a first step to guide those who do not see the value of walking to the potential motivations that they might have for walking.
Subjective Differences of Walking Behaviors Between Familiar and Unfamiliar Routes
( Max Hanssen ),( Eiji Onchi ),( Muneo Kitajima ),( Seunghee Lee ) 한국감성과학회 2021 한국감성과학회 국제학술대회(ICES) Vol.2021 No.-
The reasons and benefits that people pursue through walking are often unconscious and unknown to many individuals. This research aims to find out whether understanding the underlying factors that make walking interesting could lead to a higher quality of walks. Participants walked an unfamiliar route after their usual familiar route, to identify previously unknown factors that contributed to the quality of their walking experience. The identified factors were categorized into four main themes. The relations that were found between the main themes and participants can act as a first step to guide those who do not see the value of walking to the potential motivations that they might have for walking.
( Max Hanssen ),( Eiji Onchi ),( Zhi Liu ),( Muneo Kitajima ),( Seunghee Lee ) 한국감성과학회 2022 춘계학술대회 Vol.2022 No.-
The motivations that people have during a walk are often unknown to the individual. Past research has attempted to discover more about the motivations that are valued by people during a walk, and found a potential relation between people’s walking habit and their walking motivations. Therefore, to further reveal this relation, this research proposes the Cognitive Chrono-Ethnography (CCE) method to identify the factors of a walk that could contribute to the quality of a walking experience. As a result, the CCE method applied to this context can specify differences between people’s action selection activities and make clear which factors of a walk could potentially develop a walking habit.
Design and Development of ‘My Daily Badge’: a Wearable Device for Habitual Behavioral Tracking
( Eiji Onchi ),( Max Hanssen ),( Kaihuan Wei ),( Pengcheng Wan ),( Cen Zhang ),( Muneo Kitajima ),( Seunghee Lee ) 한국감성과학회 2021 추계학술대회 Vol.2021 No.0
Our daily action selection processes are guided by conscious and unconscious behaviors. Being able to measure these signals may provide a clue into how we make decisions and allow us to create better systems that can help us during these action selection processes. A flexible and easy to manufacture tool was needed to bootstrap the research in this field. Therefore, this paper presents the design and development of ‘My Daily Badge’, a wearable device for habitual behavioral tracking, that is easy to manufacture. We also introduce the Off-the-Shelf Adaptive Design process that led to the creation of this device. Finally, several test measurements are described, as well as potential classification algorithms that can aid researchers in the research of daily conscious and unconscious behavioral patterns. This research contributes toward the development of accessible bioinstrumentation tools that can help researchers in different scientific fields.
( Seunghee Lee ),( Eiji Onchi ),( Hotei Ban ),( Kaihuan Wei ),( Han Zhang ),( Max Hanssen ),( Muneo Kitajima ) 한국감성과학회 2020 추계학술대회 Vol.2020 No.-
This study visualizes the results of a behavioral analysis experiment with college students as a group of subjects by combining psychological character trait testing and behavioral selection analysis. As the early stage of a research project for problem-solving behavior tracking and analysis, this study has explored the research direction for the research team through experimental results. The study uses cluster analysis to visually display the descriptive survey results of the participants. It also uses the Maudsley Personality Inventory to classify participants in two-dimensional factors to help the research team further grasp the Kansei performance of the participants.
Design and Development of ‘My Daily Badge’: a Wearable Device for Habitual Behavioral Tracking
( Eiji Onchi ),( Max Hanssen ),( Kaihuan Wei ),( Pengcheng Wan ),( Cen Zhang ),( Muneo Kitajima ),( Seunghee Lee ) 한국감성과학회 2021 한국감성과학회 국제학술대회(ICES) Vol.2021 No.-
Our daily action selection processes are guided by conscious and unconscious behaviors. Being able to measure these signals may provide a clue into how we make decisions and allow us to create better systems that can help us during these action selection processes. A flexible and easy to manufacture tool was needed to bootstrap the research in this field. Therefore, this paper presents the design and development of ‘My Daily Badge’, a wearable device for habitual behavioral tracking, that is easy to manufacture. We also introduce the Off-the-Shelf Adaptive Design process that led to the creation of this device. Finally, several test measurements are described, as well as potential classification algorithms that can aid researchers in the research of daily conscious and unconscious behavioral patterns. This research contributes toward the development of accessible bioinstrumentation tools that can help researchers in different scientific fields.