Visual inspection is used in many areas due to the potential high costs of inspection error such as injury, fatality, loss of expensive equipment, scrapped items, rework, or failure to procure repeat business. This study presents an application of hidden Markov models (HMM) to fixations’ sequences analysis during visual inspection of front panels in a home appliance facility. The eye tracking data are gathered when quality control operators perform their tasks. The results support the difference between expert and novice operator. Moreover, the article demonstrates four HMMs with two and three hidden states both for novice and experienced operators and provides analysis and discussion of the outcomes.

Critical for the early diagnosis of genetic disorders, a Family Health History (FHx) can be collected in several ways including electronic FHx tools, which aid easy editing and sharing by linking with other information management portals. The user acceptance of such systems is critical, especially among older adults experiencing motor and cognitive issues. This study investigated two types of FHx interfaces, standard and Virtual Conversational Agent (VCA), using 30 young (between 18 and 30) and 24 older participants (over 60). Workload, usability and performance data were collected. Even though participants required less time to complete three of five tasks on the standard interface, the VCA interface performed better in terms of subjective workload and usability. Additionally, 67% of the older adults preferred the VCA interface since it provided context-based guidance during the data collection process. The results from this study have implications for the use of virtual assistants in FHx and other areas of data collection.

Brain-Computer Interfaces (BCI) are systems originally developed to assist paralyzed patients allowing for commands to the computer with brain activities. This study aims to examine cognitive state with an objective, easy-to-use, and easy-to-interpret method utilizing Brain-Computer Interface systems. Seventy healthy participants completed six tasks using a Brain-Computer Interface system and participants’ pupil dilation, blink rate, and Galvanic Skin Response (GSR) data were collected simultaneously. Participants filled Nasa-TLX forms following each task and task performances of participants were also measured. Cognitive state clusters were created from the data collected using the K-means method. Taking these clusters and task performances into account, the general cognitive state of each participant was classified as low risk or high risk. Logistic Regression, Decision Tree, and Neural Networks were also used to classify the same data in order to measure the consistency of this classification with other techniques and the method provided a consistency between 87.1% and 100% with other techniques.

Website usability is a widespread study area which incorporates researches from various disciplines. Several methods are available to evaluate usability of a website. Checklists, heuristic evaluations, expert evaluations, surveys and user tests are presented as the most popular methods for the evaluation of websites. Especially e-commerce websites’ usability has a critical importance due to the rising in competence and the rising in the number of e-commerce websites. The diversity of e-commerce websites evokes typical example of multi criteria decision making (MCDM) issue in daily life of humanity. Since different user groups have different expectations from the websites, the evaluation method should be structured to include appropriate measurement criteria. The main aim and the target users of the website should be considered attentively while defining the evaluation method. In this study, the most visited (Based on Alexa.com list in January, 2018) e-commerce websites in Turkey are compared in terms of usability. Criteria are decided based on the study which was published by Lee and Kozar (2015). Two different weighting approaches are integrated to TOPSIS method. One of these approaches is fuzzy expert evaluation and the other one is weighted regression estimate. We aim to discover different different impressions between e-commerce website designers and users on the same criteria to provide a comprehensive viewpoint.

Environmental conditions have an essential importance in terms of occupational health and productivity in each sector. However, it is very difficult to keep environmental conditions within the specified ideal limits due to the processes carried out in the metal industry. Evaluating the environmental conditions constantly, defining precautions, and linking the consequences are critical to improve productivity of workers who work under improper conditions under time pressure. In this study aims to investigate the levels of critical environmental conditions such as heat, humidity, noise, and illumination for the metal industry in Eskisehir. An observation form is designed to record the data and a total of 92 measurements are taken for eight facilities that use sheet-metal forming machines such as hydraulic press, eccentric press, lathe, and guillotine shear. The analyze results of the data state that the temperature is 16.22-29.74 ° C (avg. 23.99 ° C), 22.99% to 54.92% (avg. 36.35), and the noise level 82.3-110.3 dB (A) (avg. 91.88 dB (A)) and the illumination is 33.2-902.7 lux (avg. 289.34 lux) for the facilities in concern.