Real-Time Railway Crew Rescheduling: Performance Support with Explanations

Yamada, Takeshi; Sato, Tatsuhiro; Tomiyama, Tomoe; Ueki, Nobutaka

doi:10.1109/smc.2015.182

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…The work reported here extends our previous works by adding research findings on a revised cognitive model, sample local solution, and corresponding test results. Related work and problems with conventional systems are reviewed in Section 2.…”

Section: Introductionsupporting

confidence: 66%

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Interactive system with explanation function for real‐time railway crew rescheduling

Yamada

Sato

Tomiyama

et al. 2017

IEEJ Transactions Elec Engng

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To win a user's trust while railway crew rescheduling by interactively explaining the reason(s) for the solution calculated by a computer, we propose a schema for describing crew rescheduling patterns in an 'if-then-because' format, an improved method for controlling user interaction based on the patterns, and a cognitive model of the user in a state-transition form. An improved system developed using the proposed method generates crew schedules automatically by using a rule base comprising 30 patterns. Characteristic of the improved system is the use of 'because' information for explaining the computing process. System tests with an actual schedule for crews and trains in a railway line demonstrate that interactive processing with the help of an explanation function better visualizes the computing process. We evaluate our improved system by think-aloud testing. Protocol analysis of verbal comments revealed that the user state was transited in accordance with our design intent that the user state for interpreting 'because' information plays a hub role in the decision making: users spent 28% of their time interpreting 'because' information. Questionnaire survey results show that contribution of the explanation is 34%. Interactive rescheduling with the help of an explanation function is practical for real-time railway crew rescheduling.

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Section: Introductionsupporting

confidence: 66%

“…Each problem, though, can instead be solved through user interaction . When the situation changes, an interactive system prompts the user to think by displaying an alarm indicating a constraint violation and makes a proposal corresponding to the alarm by using heuristic patterns.…”

Section: Related Work and Problems With Conventional Systemsmentioning

confidence: 99%

Interactive system with explanation function for real‐time railway crew rescheduling

Yamada

Sato

Tomiyama

et al. 2017

IEEJ Transactions Elec Engng

Self Cite

View full text Add to dashboard Cite

show abstract

Evaluating Explanation Function in Railway Crew Rescheduling System by Think-Aloud Test

Yamada

Sato

Tomiyama

et al. 2016

2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)

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VisMatchmaker: Cooperation of the User and the Computer in Centralized Matching Adjustment

Law

Zheng

et al. 2017

IEEE Trans. Visual. Comput. Graphics

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Centralized matching is a ubiquitous resource allocation problem. In a centralized matching problem, each agent has a preference list ranking the other agents and a central planner is responsible for matching the agents manually or with an algorithm. While algorithms can find a matching which optimizes some performance metrics, they are used as a black box and preclude the central planner from applying his domain knowledge to find a matching which aligns better with the user tasks. Furthermore, the existing matching visualization techniques (i.e. bipartite graph and adjacency matrix) fail in helping the central planner understand the differences between matchings. In this paper, we present VisMatchmaker, a visualization system which allows the central planner to explore alternatives to an algorithm-generated matching. We identified three common tasks in the process of matching adjustment: problem detection, matching recommendation and matching evaluation. We classified matching comparison into three levels and designed visualization techniques for them, including the number line view and the stacked graph view. Two types of algorithmic support, namely direct assignment and range search, and their interactive operations are also provided to enable the user to apply his domain knowledge in matching adjustment.

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Real-Time Railway Crew Rescheduling: Performance Support with Explanations

Cited by 3 publications

References 13 publications

Interactive system with explanation function for real‐time railway crew rescheduling

Interactive system with explanation function for real‐time railway crew rescheduling

Evaluating Explanation Function in Railway Crew Rescheduling System by Think-Aloud Test

VisMatchmaker: Cooperation of the User and the Computer in Centralized Matching Adjustment

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