Abstract The integration of human-centric approaches has gained more attention recently due to more automated systems being introduced into our built environments (buildings, roads, vehicles, etc.), which requires a correct understanding of how humans perceive such systems and respond to them. This paper introduces an Immersive Virtual Environment-based method to evaluate the infrastructure design with psycho-physiological and behavioral responses from the vulnerable road users, especially for pedestrians. A case study of pedestrian mid-block crossings with three crossing infrastructure designs (painted crosswalk, crosswalk with flashing beacons, and a smartphone app for connected vehicles) are tested. Results from 51 participants indicate there are differences between the subjective and objective measurement. A higher subjective safety rating is reported for the flashing beacon design, while the psychophysiological and behavioral data indicate that the flashing beacon and smartphone app are similar in terms of crossing behaviors, eye tracking measurements, and heart rate. In addition, the smartphone app scenario appears to have a lower stress level as indicated by eye tracking data, although many participants do not have prior experience with it. Suggestions are made for the implementation of new technologies, which can increase public acceptance of new technologies and pedestrian safety in the future. 

/pdf/rethinking-infrastructure-design-evaluating-pedestrians-and-gj0vwbch.pdf

Rethinking infrastructure design: evaluating pedestrians and VRUs’ psychophysiological and behavioral responses to different roadway designs

Addressing the Influence of End User Human Aspects on Software Engineering

Use of personas in Requirements Engineering: A systematic mapping study

Metaheuristic algorithms are generic optimization tools to solve complex problems with extensive search spaces. This algorithm minimizes the size of the search space by using effective search strategies. Research on metaheuristic algorithms continues to grow and is widely applied to solve big data problems. This study aims to provide an analysis of the performance of metaheuristic research and to map a description of the themes of the metaheuristic research method. Using bibliometric analysis, we examined the performance of scientific articles and described the available opportunities for metaheuristic research methods. This study presents the performance analysis and bibliometric review of metaheuristic research documents indexed in the Scopus database between the period of 2016-2021. The overall number of papers published at the global level was 3846. At global optimization, heuristic methods, scheduling, genetic algorithms, evolutionary algorithms, and benchmarking dominate metaheuristic research. Meanwhile, the discussion on adaptive neuro-fuzzy inference, forecasting, feature selection, biomimetics, exploration, and exploitation, are growing hot issues for research in this field. The current research reveals a unique overview of metaheuristic research at the global level from 2016-2021, and this could be valuable for conducting future research.

/pdf/a-bibliometric-analysis-of-metaheuristic-research-and-its-t9cusu67.pdf

A Bibliometric Analysis of Metaheuristic Research and Its Applications

Value is the achievement of student learning outcomes cumulatively in a one semester. Cumulative means the average of the average value assignments, daily test, mid semester test and end of semester test. Then in every educational institution there is a KKM value (Minimum Completeness Criteria) which is a reference for completeness from the final result of student score. At this time, almost all educational institutions, both public and private, are careful in processing student score data, because of the importance of the value that will be issued to determine student achivment. The value data processing that occurs at SMP Negeri 6 Pelepat Ilir is currently still by copying or duplicating student data file, causing a buildup of data which has an impact on the difficulty of getting value data information because they have to open the data files one by one. The purpose of this study is to facilitate teachers in processing student score data at SMP Negeri 6 Pelepat Ilir by using the PHP programming language and using the phpmyadmin database. Thhe result of this study are the axistence of an information system for processing student grades data will provide convenience for teachers in processing student grades.

Rancang Bangun Sistem Informasi Nilai Akademik Pada SMP Negeri 6 Pelepat Ilir

Every piece of software uses a model to derive its operational, auxiliary, and functional procedures. Unified Modeling Language (UML) is a standard displaying language for determining, recording, and building a software product. Several algorithms have been used by researchers to measure similarities between UML artifacts. However, there no literature studies have considered measurements of UML diagram similarities. This paper presents the results of a systematic literature review concerning similarity measurements between the UML diagrams of different software products. The study reviews and identifies similarity measurements of UML artifacts, with class diagram, sequence diagram, statechart diagram, and use case diagram being UML diagrams that are widely used as research objects for measuring similarity. Measuring similarity enables resolution of the problem domains of software reuse, similarity measurement, and clone detection. The instruments used to measure similarity are semantic and structural similarity. The findings indicate opportunities for future research regarding calculating other UML diagrams, compiling calculation information for each diagram, adapting semantic and structural similarity calculation methods, determining the best weight for each item in the diagram, testing novel proposed methods, and building or finding good datasets for use as testing material.

/pdf/software-similarity-measurements-using-uml-diagrams-a-ix2jedi4jq.pdf

Software similarity measurements using UML diagrams: A systematic literature review

Finding a parking space can be very stressful and time consuming. A variety of different vehicle parking applications have been developed but many fail to support diverse end-users. We captured diverse human-centric issues from user reviews and literature, and then created personas that encompass a wide representative range of parking app user groups. Using these personas, user stories were created, categorized and parking app tasks prioritized. We used these to develop a prototype new "smart parking app". A cognitive walk-through was employed using each of the personas and user stories to evaluate the app. With more human-centric factors taken into account in the design and development of the app, we found that majority of the human-centric frustrations identified were resolved, when compared with a commonly used parking app.

Devi Karolita

Papers

Software similarity measurements using UML diagrams: A systematic literature review

A human-centric approach to building a smarter and better parking application

Use of personas in Requirements Engineering: A systematic mapping study