Adopting network analysis methods for contextual inquiry: The keyword structure representation of a web behavior

Kim, Ga-Won; Lim, Jihyoun; Choi, Hyosun; Yun, Myung Hwan

doi:10.1037/e572172013-334

Cited by 4 publications

(7 citation statements)

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“…Network analysis was employed to analyze the relationship among the major terminologies of research on haptics. Network analysis investigates the relationship among the individual actors of a network employing graph theory, which describes the relationship through nodes and ties, and analyzes all relationships between actors (Kim, Lim, Choi, & Yun, ; Streeter & Gillespie, ). The network diagram and centrality index, which are the outcome results of network analysis, can be used to analyze the distribution and the importance of each actor and thus allow the segmentation of the whole network (Hanneman & Riddle, ; Wasserman & Faust, ).…”

Section: Introductionmentioning

confidence: 99%

Finding the Latent Semantics of Haptic Interaction Research: A Systematic Literature Review of Haptic Interaction Using Content Analysis and Network Analysis

Song

Lim

Yun

2016

Hum Ftrs & Erg Mfg Svc

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As interest in multimodal and tangible interfaces is increasing in the field of human–robot interaction and virtual reality, haptics has been researched across areas such as engineering, computer science, psychology, and neuroscience. The main objective of the study was to construct a comprehensive review of the current haptic‐related literature based on quantitative data derived from content analysis and network analysis. Using the results of content analysis and network analysis of 6,000 research articles on haptic interaction, the haptic‐related literature was classified into two categories: 1) studies on technologies providing haptic stimuli and 2) studies on the human perception of haptic stimuli. Emotions in haptic feedback and haptic perception characteristics of various body sites were identified as potential research topics for further investigation. Greater research effort on understanding human haptic sensation and perception using the proposed systematic approach could accelerate the development of haptic interaction technology.

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Section: Introductionmentioning

confidence: 99%

Finding the Latent Semantics of Haptic Interaction Research: A Systematic Literature Review of Haptic Interaction Using Content Analysis and Network Analysis

Song

Lim

Yun

2016

Hum Ftrs & Erg Mfg Svc

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“…The results of user interview were regarded as unstructured and qualitative data which were not able to provide quantitative analysis. Applying semantic network analysis is able to provide the quantitative importance of a variable in the network as well as macro and micro level of analysis [2]. Network analysis can also help to represent the overall structure of user value in an intuitive way [11] and to generate insights [12] and meaningful values that go beyond intent of the researchers [2].…”

Section: Network Analysis and User Valuementioning

confidence: 99%

“…Measuring structural properties helps to Identifying Users' Perceived Values toward Reality-Based Interaction, using Semantic Network Analysis determine important nodes in the network, thus to identify the key values of users [2]. Degree centrality shows the numbers of simple connections a word has, while eigenvector centrality shows the numbers of connections to popular words, having lots of connections to other words.…”

Section: Network Analysis and User Valuementioning

confidence: 99%

“…However, there have been few attempts to investigate what kind of values could be provided by the technologically feasible interaction methods to users. To answer the question, we adopt a semantic network analysis which helps to identify a few most influential nodes in the network consisting of users' thoughts about a product or service by structuring the users' description on given issues into a graphical representation [2].…”

Section: Introductionmentioning

confidence: 99%

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1G-6　Identifying Users^|^apos; Perceived Values toward Reality-Based Interaction, using Semantic Network Analysis

2013

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Reality-Based Interaction has been adopted in various domains and had emerged as one of the key issues in the field of Human-Computer Interaction. Many studies have focused on the feasibility and performance of the newly proposed interaction, rather than users' real desire or expectations for the new technology. This study attempted to draw the value structureusers have in their mindabout newly introduced interactions: voice command recognition, dialogue interaction, semaphoric gesture interaction, and deictic gesture interaction. We employed semantic network analysis to visualize the value structure ofthe four interactions and to identify the most significant keywords for each interaction based on in-depth interview data. We finallyidentified the differencesin the value structure between the four interactionsand elicited keywords for each interaction.

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“…For example, a patent network is used to identify relations between technologies (Yoon & Park, 2004), while a user's Value Map depicts and identifies the user's hidden needs (Kim et al, 2012).…”

Section: J Ergon Soc Koreamentioning

confidence: 99%

Mapping Studies on Visual Search, Eye Movement, and Eye track by Bibliometric Analysis

Rhie¹,

Lim²,

Yun³

2015

Journal of the Ergonomics Society of Korea

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Objectiv e:The aim of this study is to understand and identify the critical issues in vision research area using content analysis and network analysis.Background: Vision, the most influential factor in information processing, has been studied in a wide range of area. As studies on vision are dispersed across a broad area of research and the number of published researches is ever increasing, a bibliometric analysis towards literature would assist researchers in understanding and identifying critical issues in their research. Method:In this study, content and network analysis were applied on the meta-data of literatures collected using three search keywords: 'visual search', 'eye movement', and 'eye tracking'.Results: Content analysis focuses on extracting meaningful information from the text, deducting seven categories of research area; 'stimuli and task', 'condition', 'measures', 'participants', 'eye movement behavior', 'biological system', and 'cognitive process'. Network analysis extracts relational aspect of research areas, presenting characteristics of sub-groups identified by community detection algorithm. Conclusion:Using these methods, studies on vision were quantitatively analyzed and the results helped understand the overall relation between concepts and keywords. Application:The results of this study suggests that the use of content and network analysis helps identifying not only trends of specific research areas but also the relational aspects of each research issue while minimizing researchers' bias. Moreover, the investigated structural relationship would help identify the interrelated subjects from a macroscopic view.

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Adopting network analysis methods for contextual inquiry: The keyword structure representation of a web behavior

Cited by 4 publications

References 0 publications

Finding the Latent Semantics of Haptic Interaction Research: A Systematic Literature Review of Haptic Interaction Using Content Analysis and Network Analysis

Finding the Latent Semantics of Haptic Interaction Research: A Systematic Literature Review of Haptic Interaction Using Content Analysis and Network Analysis

1G-6　Identifying Users^|^apos; Perceived Values toward Reality-Based Interaction, using Semantic Network Analysis

Mapping Studies on Visual Search, Eye Movement, and Eye track by Bibliometric Analysis

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Adopting network analysis methods for contextual inquiry: The keyword structure representation of a web behavior

Cited by 4 publications

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Finding the Latent Semantics of Haptic Interaction Research: A Systematic Literature Review of Haptic Interaction Using Content Analysis and Network Analysis

Finding the Latent Semantics of Haptic Interaction Research: A Systematic Literature Review of Haptic Interaction Using Content Analysis and Network Analysis

1G-6 Identifying Users^|^apos; Perceived Values toward Reality-Based Interaction, using Semantic Network Analysis

Mapping Studies on Visual Search, Eye Movement, and Eye track by Bibliometric Analysis

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Product

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1G-6　Identifying Users^|^apos; Perceived Values toward Reality-Based Interaction, using Semantic Network Analysis