Improving User Comfort Classroom at the Kalimantan Institute of Technology with Maintenance Factors

In building construction, the implementation of maintenance activities plays an important role in the quality of the building. By carrying out these activities regularly, it’s hoped to minimize and prevent damage to buildings and make users feel comfortable. Kalimantan Institute of Technology must have comfortable study spaces. This study aims to determine the effect of the class maintenance factor on the user's comfort level. The analysis brought by determining what factors are influencing, these factors influence, and the most dominant factors affecting the most. Primary data was obtained by distributing questionnaires to respondents, secondary data inactive students, and lecturers at the Kalimantan Institute of Technology, and supporting research data in ministerial regulations, books, research journals, and others. The data analysis process uses IBM SPSS as an auxiliary program with multiple linear regression analysis methods. Based on the research and data processing conducted, it’s concluded that 8 factors influence the maintenance, namely the maintenance of user comfort by 80.8% and the variable maintenance of the room walls. The room wall maintenance variable is the most dominant factor influencing the comfort of classroom users. Knowing these factors can implement optimal implementation to support the comfort of class users at the Kalimantan Institute of Technologists.

Data analytics for smart buildings: a classification method for anomaly detection for measured data

Data generated by the increasingly frequent use of sensors in housing provide the opportunity to monitor, manage and optimize the energy consumption of a building and the user comfort. These data are often strewn with rare or anomalous events, considered as anomalies (or outliers), that must be detected and ultimately corrected in order to improve the data quality. However, many approaches are used or might be used (for the most recent ones) to achieve this purpose. This paper proposes a classification methodology of anomaly detection techniques applied to building measurements. This classification methodology uses a well-suited anomaly typology and measurement typology in order to provide, in the future, a classification of the most adapted anomaly detection techniques for different types of building measurements, anomalies and needs.

Interocular conflict from a monocular augmented reality display: Impact of visual characteristics on performance

In monocular see-through augmented reality systems, each eye is stimulated differently by a monocular image that is superimposed on the binocular background. This can impair binocular fusion, due to interocular conflict. As a function of visual characteristics, the latter can have a greater or lesser impact on user comfort and performance. This study tested several visual characteristics of a binocular background and a monocular element during an exposure that reproduced the interocular conflict induced by a monocular see-through near-eye display. The aim was to identify which factors impact the user’s performance. Performance was measured as target tracking and event detection, identification, fixation time, and latency. Our results demonstrate that performance is a function of the binocular background. Furthermore, exogenous attentional stimulation, in the form of a pulse with different levels of contrast applied to the monocular display, appears to preserve performance in most background conditions.

Face Mask Controls and Duration of Wearing: What Medical Research Can Teach the Cleanroom Manager

No mask is 100% effective. Masks are a tradeoff between bacterial and particle efficiency and user comfort, with a 97.5% bacterial filter efficiency the typical rating. Achieving this is dependent upon the mask integrity and worn correctly. This paper covers cleanroom contamination control, more recent research within the medical field has been driven by responses to the coronavirus, and some recommendations for the control of surgical face masks worn in cleanrooms.

The classification of gesture interactions and the study of their ergonomic effect on hands

In order to investigate gestural behavior during human-computer interactions, an investigation into the designs of current interaction methods is conducted. This information is then compared to current emerging databases to observe if the gesture designs follow guidelines discovered in the above investigation. The comparison will also observe common trends in the currently developed gesture databases such as similar gesture for specific commands. In order to investigate gestural behavior during interactions with computer interfaces, an experiment has been devised to observe and record gestures in use for gesture databases through the use of a hardware sensor device. It was discovered that factors such as opposing adjacent fingers and gestures that simulated object manipulation are factors in user comfort. The results of this study will create guidelines for creating new gestures for hand gesture interfaces.

The classification of gesture interactions and the study of their ergonomic effect on hands

In order to investigate gestural behavior during human-computer interactions, an investigation into the designs of current interaction methods is conducted. This information is then compared to current emerging databases to observe if the gesture designs follow guidelines discovered in the above investigation. The comparison will also observe common trends in the currently developed gesture databases such as similar gesture for specific commands. In order to investigate gestural behavior during interactions with computer interfaces, an experiment has been devised to observe and record gestures in use for gesture databases through the use of a hardware sensor device. It was discovered that factors such as opposing adjacent fingers and gestures that simulated object manipulation are factors in user comfort. The results of this study will create guidelines for creating new gestures for hand gesture interfaces.

Qualitative assessment of worker productivity and experience in office environments

This project is a study on the building impact of occupant’s productivity and well being in an office environment. Presented through an office case study, the work takes part of a larger pre- and post-move study carried out over the course of a year. The study collects, analyses, and compares numerous sources of data in a pre- and post-move study: 1) environmental data using desk sensors 2) online qualitative surveys of user comfort relative to location in the office 3) an architectural assessment of the spaces in the office. The collection of both pre- and post-move data is intended to allow findings to be compared to understand the impacts of environmental design on worker productivity and building performance and address the challenges in conducting successful pre- and post-move assessments.

Qualitative assessment of worker productivity and experience in office environments

This project is a study on the building impact of occupant’s productivity and well being in an office environment. Presented through an office case study, the work takes part of a larger pre- and post-move study carried out over the course of a year. The study collects, analyses, and compares numerous sources of data in a pre- and post-move study: 1) environmental data using desk sensors 2) online qualitative surveys of user comfort relative to location in the office 3) an architectural assessment of the spaces in the office. The collection of both pre- and post-move data is intended to allow findings to be compared to understand the impacts of environmental design on worker productivity and building performance and address the challenges in conducting successful pre- and post-move assessments.

Model-based Engineering of Feedforward Usability Function for GUI Widgets

Feedback and feedforward are two fundamental mechanisms that support users’ activities while interacting with computing devices. While feedback can be easily solved by providing information to the users following the triggering of an action, feedforward is much more complex as it must provide information before an action is performed. For interactive applications where making a mistake has more impact than just reduced user comfort, correct feedforward is an essential step toward correctly informed, and thus safe, usage. Our approach, Fortunettes, is a generic mechanism providing a systematic way of designing feedforward addressing both action and presentation problems. Including a feedforward mechanism significantly increases the complexity of the interactive application hardening developers’ tasks to detect and correct defects. We build upon an existing formal notation based on Petri Nets for describing the behavior of interactive applications and present an approach that allows for adding correct and consistent feedforward.