Ethermap

Fechner, Thore; Wilhelm, Dennis; Kray, Christian

doi:10.1145/2702123.2702536

Cited by 22 publications

(6 citation statements)

References 29 publications

(40 reference statements)

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“…Evaluations of multi-scale navigation need to identify effective and ineffective uses of these interfaces. Therefore, terms like the level of details or the visible extent are translated into a computational model, which is used to calculate an analytic solution for optimal animations (Furnas and Bederson, 1995). These models can be tested via user experiments that include free parameters like animation speed.…”

Section: Multi-scale Navigationmentioning

confidence: 99%

Mining Map Interaction Semantics in web-based Geographic Information Systems (WebGIS) for Usability Analysis

Unrau¹,

Kray²

2021

AGILE GIScience Ser.

Self Cite

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Abstract. Due to the increased availability of geospatial data, web-based geographic information systems (WebGIS) have become more popular in recent years. However, the usability of these systems poses new challenges as user interactions are strongly affected by the map and are thus different from interactions with traditional user interface elements. In this paper, we propose a method for evaluating the usability of web-based geographic information systems by analyzing user intentions through map interaction patterns. We use a pattern mining algorithm to extract frequent interaction sequences from user sessions and label these with their interaction semantics that represent the users’ immediate intentions. To evaluate our approach, we conducted a user study with 60 participants in a WebGIS scenario and identified varying user strategies for a selection task based on two different geovisualizations. Our results indicate that the chosen approach can uncover the underlying intentions of users’ interaction patterns and facilitate insights into the usability of WebGIS.

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Section: Multi-scale Navigationmentioning

confidence: 99%

Mining Map Interaction Semantics in web-based Geographic Information Systems (WebGIS) for Usability Analysis

Unrau¹,

Kray²

2021

AGILE GIScience Ser.

Self Cite

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“…With the development of computer technologies such as cloud computing and real-time communication, computer-supported collaborative work has become more and more important and has received extensive attention in recent years. CSCW [16][17][18][19][20] has been extensively studied and has been widely used in codesign [3][4][5][6] and editing [7,[18][19][20]. There are some industrial applications available in the network, such as Google Drive and SharedJS, which are used to help people in different locations share information and collaborate with each other.…”

Section: Literature Reviewmentioning

confidence: 99%

A framework and prototype system in support of workflow collaboration and knowledge mining for manufacturing value chains

Qin

Peng

Zhang

et al. 2023

IET Collab Intel Manufact

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In the field of industrial design and manufacture, computer-supported collaborative work (CSCW) systems have been widely deployed for better teamwork. However, the traditional CSCW systems have a main drawback in effectively processing and utilising knowledge across different industrial workflows. To bridge this gap, we propose a framework for collaboration between members across the manufacturing value chains to increase efficiency and reduce duplication in team cooperation. The framework contains three parts, namely workflow, knowledge mining, and services. Specifically, the workflow part provides a collaborative environment for multiple users. The knowledge mining part, as the core of the framework, extracts in-context knowledge from workflows. The part of services can interact with users with different users in each workflow, including information recommendation they need in the future or information retrieval they want to know from other workflows. Furthermore, we develop a prototype system for supporting multiple value chains collaboration to verify the effectiveness and efficiency of the framework.

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“…Tools that enable collaborative authoring, particularly ones that allow simultaneous multi-user interactions, have captured the interests of researchers in diverse domains, including software engineering [12,38,40,46,113,119], data science [72,90,102,116,117,123], document editing [39,55,57,65,109], entertainment [69,98], and geospatial analysis [29], many of whom observed novel or unforeseen issues arise from the collaborative features. For example, Goldman et al built a collaborative, web-based Java IDE called Collabode [40], but found upon evaluation that programmers' code produced runtime errors for collaborators despite it being free of compilation errors.…”

Section: Multi-user Collaborative Authoring Toolsmentioning

confidence: 99%

Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations

Feng,

Li,

Zhang

2023

Preprint

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User experience (UX) has undergone a revolution in collaborative practices, due to tools that enable quick feedback and continuous collaboration with a varied team across a design's lifecycle. However, it is unclear how this shift in collaboration has been received in professional UX practice, and whether new pain points have arisen. To this end, we conducted a survey (𝑁 = 114) with UX practitioners at software organizations based in the U.S. to better understand their collaborative practices and tools used throughout the design process. We found that while an increase in collaborative activity enhanced many aspects of UX work, some long-standing challenges-such as handing off designs to developers-still persist. Moreover, we observed new challenges emerging from activities enabled by collaborative tools such as design system management. Based on our findings, we discuss how UX practices can improve collaboration moving forward and provide concrete design implications for collaborative UX tools. CCS CONCEPTS• Human-centered computing → Collaborative interaction; Empirical studies in interaction design; Empirical studies in collaborative and social computing.

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Ethermap

Cited by 22 publications

References 29 publications

Mining Map Interaction Semantics in web-based Geographic Information Systems (WebGIS) for Usability Analysis

Mining Map Interaction Semantics in web-based Geographic Information Systems (WebGIS) for Usability Analysis

A framework and prototype system in support of workflow collaboration and knowledge mining for manufacturing value chains

Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations

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