arXiv subjects

Pawel Weichbroth

Publications and source records attributed to Pawel Weichbroth.

6 recordsLinked to original sources

arXiv2026

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

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.

cs.HC↗

arXiv2025

Classification and taxonomy of mobile application usability issues

Despite years of research on testing the usability of mobile applications, our understanding of the issues their users experience still remains fragmented and underexplored. While most earlier studies has provided interesting insights, they have varying limitations in methodology, input diversity, and depth of analysis. On the contrary, this study employs a triangulation strategy, using two research methods (systematic literature review and interview) and two data sources (scholarly literature and expert knowledge) to explore the traits underlying usability issues. Our study contributes to the field of human-computer interaction (HCI) by presenting a catalog of 16 usability issue categories, enriched with corresponding keywords and extended into a taxonomy, as well as a novel three-tier app-user-resource (AUR) classification system. At the first app level, usability issues arise from user interface design, as well as from efficiency, errors, and operability. At the second user level, they influence cognitive load, effectiveness, ease of use, learnability, memorability, and understandability. At the third resource level, usability issues stem from network quality and hardware, such as battery life, CPU speed, physical device button size and availability, RAM capacity, and screen size. The root cause of the usability issues is the user interface design. Detailed findings and takeaways for both researchers and practitioners are also discussed. Further research could focus on developing a measurement model for the identified variables to confirm the direction and strength of their relationships with perceived usability. Software vendors can also benefit by updating existing quality assurance programs, reviews and audits tools, as well as testing checklists.

cs.HC↗

arXiv2025

A survey on the impact of emotions on the productivity among software developers

The time pressure associated with software development, among other factors, often leads to a diminished emotional state among developers. However, whether emotions affect perceived productivity remains an open question. This study aims to determine the strength and direction of the relationship between emotional state and perceived productivity among software developers. We employed a two-stage approach. First, a survey was conducted with a pool of nine experts to validate the measurement model. Second, a survey was administered to a pool of 88 software developers to empirically test the formulated hypothesis by using Partial Least Squares, as the data analysis method. The results of the path analysis clearly confirm the formulated hypothesis, showing that the emotional state of a software developer has a strong positive, and significant impact (beta = 0.893, p < 0.001) on perceived productivity among software developers. The findings highlight the importance of managing and improving developers emotional well-being to enhance productivity in software development environments. Additionally, interventions aimed at reducing burnout, stress, and other negative factors could have a considerable impact on their performance outcomes.

cs.SE↗

arXiv2025

The MUG-10 Framework for Preventing Usability Issues in Mobile Application Development

Nowadays, mobile applications are essential tools for everyday life, providing users with anytime, anywhere access to up-to-date information, communication, and entertainment. Needless to say, hardware limitations and the diverse needs of different user groups pose a number of design and development challenges. According to recent studies, usability is one of the most revealing among many others. However, few have made the direct effort to provide and discuss what countermeasures can be applied to avoid usability issues in mobile application development. Through a survey of 20 mobile software design and development practitioners, this study aims to fill this research gap. Given the qualitative nature of the data collected, and with the goal of capturing and preserving the intrinsic meanings embedded in the experts' statements, we adopted in vivo coding. The analysis of the collected material enabled us to develop a novel framework consisting of ten guidelines and three activities with general applications. In addition, it can be noted that active collaboration with users in testing and collecting feedback was often emphasized at each stage of mobile application development. Future research should consider focused action research that evaluates the effectiveness of our recommendations and validates them across different stakeholder groups. In this regard, the development of automated tools to support early detection and mitigation of usability issues during mobile application development could also be considered.

cs.HC↗

arXiv2025

AI and the Law: Evaluating ChatGPT's Performance in Legal Classification

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.

cs.CL↗

arXiv2025

Usability Issues With Mobile Applications: Insights From Practitioners and Future Research Directions

This study is motivated by two key considerations: the significant benefits mobile applications offer individuals and businesses, and the limited empirical research on usability challenges. To address this gap, we conducted structured interviews with twelve experts to identify common usability issues. Our findings highlight the top five concerns related to: information architecture, user interface design, performance, interaction patterns, and aesthetics. In addition, we identify five key directions for future research: usability in AI-powered mobile applications, augmented reality (AR) and virtual reality (VR), multimodal interactions, personalized mobile ecosystems, and accessibility. Our study provides insights into emerging usability challenges and trends, contributing to both the theory and practice of mobile human-computer interaction.

cs.HC↗