Task Clustering Method Using User Interaction Logs to Plan RPA Introduction

Urabe, Yuki; Yagi, Sayaka; Tsuchikawa, Kimio; Oishi, Hisami

doi:10.1007/978-3-030-85469-0_18

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Actions are most often divided into mouse and keyboard inputs, but some logs further distinguish between different mouse buttons, string inputs, and hotkeys. Only two logs do not record action types: the BPIC 2016 clickstream log [11] and Urabe et al [35], who only record that an interaction has taken place. 2.…”

Section: Input Valuementioning

confidence: 99%

“…Which other attributes are included in a UI log differs between approaches: whereas timestamps and the application in focus (where applicable) are recorded in all logs, input values and information on the location of a target element within the application's UI hierarchy are included in about half of them. Examples for other, less common attributes that are only recorded in few approaches include the current value of a text field [5,9,27], user IDs [5,10,27,35], other resources involved [6,11], and associations to higher-level process steps [20,29].…”

Section: Input Valuementioning

confidence: 99%

“…Examples include clicking a button, entering a string into a text field, ticking a checkbox, or selecting an item from a dropdown [26]. Multiple recent research streams use this type of data, for example to analyze usage patterns in software applications [6,12,28], to identify candidate routines for robotic process automation (RPA) [7,26,35], or to derive RPA automation and test scripts [3,8]. In addition, companies like Celonis and UiPath offer tools that record and process UI data for inspecting and automating task executions [5].…”

Section: Introductionmentioning

confidence: 99%

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A Reference Data Model for Process-Related User Interaction Logs

Abb¹,

Rehse²

2022

Preprint

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User interaction (UI) logs are high-resolution event logs that record low-level activities performed by a user during the execution of a task in an information system. Each event in a UI log corresponds to a single interaction between the user and the interface, such as clicking a button or entering a string into a text field. UI logs are used for purposes like task mining or robotic process automation (RPA), but each study and tool relies on a different conceptualization and implementation of the elements and attributes that constitute user interactions. This lack of standardization makes it difficult to integrate UI logs from different sources and to combine tools for UI data collection with downstream analytics or automation solutions. To address this, we propose a universally applicable reference data model for process-related UI logs. Based on a review of scientific literature and industry solutions, this model includes the core attributes of UI logs, but remains flexible with regard to the scope, level of abstraction, and case notion. We provide an implementation of the model as an extension to the XES interchange standard for event logs and demonstrate its practical applicability in a real-life RPA scenario.

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Section: Input Valuementioning

confidence: 99%

Section: Input Valuementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Reference Data Model for Process-Related User Interaction Logs

Abb¹,

Rehse²

2022

Preprint

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“…Our technology automatically detects the points in a series of operation logs where the operation type changes and visualizes the operation logs after dividing and classifying them. This makes it possible to understand actual operations by operation type [8]. Figure 4 shows the classification of operation logs into work types.…”

Section: Business Design Support Technology Based On Operation-proces...mentioning

confidence: 99%

Technical Approaches for Operations to Accelerate Digital Transformation

Shibata

2022

NTT Technical Review

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Access networks are widespread across Japan. Since they directly interface with service users and maintenance staff at indoor and outdoor telecommunications facilities, access operations are deeply linked with these various players' and users' businesses. There have been growing expectations for digital transformation (DX) across various infrastructure companies to address social issues, such as the shrinking working-age population [1] and aging infrastructure [2]. Demand for new services, such as private fifth-generation mobile communication (5G)/6G and mobility as a service (MaaS) using automated driving, is expected to grow. Triggered by measures taken against infectious diseases, lifestyles and work styles have become increasingly diversified. These trends will increase our sharing and mutual use of facilities and services with players other than telecommunications carriers, as well as collaboration in their operations. Thus, it is important to develop a mechanism that breaks through business boundaries and enhances productivity.In view of the above, the Access Network Operation Project at NTT Access Network Service Systems Laboratories is developing smart operations that accompany the progress of the Innovative Optical and Wireless Network (IOWN). Specifically, we are aiming to actualize an ecosystem in which various players can easily collaborate with each other using their respective business operations, systems, and data, and cause a chain reaction of value creation (DX acceleration) within this ecosystem. The form of collaboration can vary depending on the business structure of each player. The targets for collaboration can also differ, ranging from information to systems and organizations. We are conducting research and development (R&D) into operations technologies from these various perspectives and working with NTT Group companies to prepare for their commercial introduction. This article introduces our latest efforts to enable collaborative end-to-end operations across multiple network layers and domains. Specifically, it introduces self-evolving zero-touch operations technology, which features versatile network-information management with autonomous analysis and decision on the basis of this management, and business design support technology based on operation-process classification, which improves work efficiency by enabling business-support and business-execution organizations in the field to develop a common understanding.

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A Reference Data Model for Process-Related User Interaction Logs

Abb

Rehse²

2022

Lecture Notes in Computer Science

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Task Clustering Method Using User Interaction Logs to Plan RPA Introduction

Cited by 7 publications

References 9 publications

A Reference Data Model for Process-Related User Interaction Logs

A Reference Data Model for Process-Related User Interaction Logs

Technical Approaches for Operations to Accelerate Digital Transformation

A Reference Data Model for Process-Related User Interaction Logs

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