Pawel Weichbroth

h-index1
2papers

2 Papers

4.0HCApr 10
A survey on factors influencing mobile application usability through the lens of PACMAD+3 model

Pawel Weichbroth

Undeniably, the advent of mobile applications has brought new frontiers to usability engineering. To date, ongoing research has shown significant efforts to adopt and adapt usability principles to the mobile computing environment. One of these endeavors is the PACMAD+3 model. However, to the best of our knowledge, little or no effort has been made to empirically evaluate these factors against perceived influence. With this in mind, the objective of this study is to explore this issue. To achieve this goal in a reliable and reproducible manner, we took advantage of previous attempts to conceptualize the mobile usability factors, but we contribute by operationalizing these theoretical constructs into observable and measurable phenomena. In this sense, the survey was designed and carried out on a sample of 838 users to assess the significance of the PACMAD+3 factors on the perceived usability of mobile applications. Our findings show that, on average, users rated efficiency as highly important, while the remaining seven, namely: cognitive load, errors, learnability, operability, effectiveness, memorability, and understandability, were rated moderately important. Insights into the importance of usability factors and the corresponding features can also facilitate the design and development of mobile applications. Therefore, our research contributes to the field of human-computer interaction with theoretical and practical implications for mobile usability researchers, UX designers, and quality assurance engineers.

CLFeb 15, 2025
AI and the Law: Evaluating ChatGPT's Performance in Legal Classification

Pawel Weichbroth

The use of ChatGPT to analyze and classify evidence in criminal proceedings has been a topic of ongoing discussion. However, to the best of our knowledge, this issue has not been studied in the context of the Polish language. This study addresses this research gap by evaluating the effectiveness of ChatGPT in classifying legal cases under the Polish Penal Code. The results show excellent binary classification accuracy, with all positive and negative cases correctly categorized. In addition, a qualitative evaluation confirms that the legal basis provided for each case, along with the relevant legal content, was appropriate. The results obtained suggest that ChatGPT can effectively analyze and classify evidence while applying the appropriate legal rules. In conclusion, ChatGPT has the potential to assist interested parties in the analysis of evidence and serve as a valuable legal resource for individuals with less experience or knowledge in this area.