Experimental Analysis of Behavior Commons^™

Investigating Collaborative Explainable Ai (Cxai)/Social Forum As An Explainable Ai (Xai) Method In Autonomous Driving (Ad), Tauseef Ibne Mamun

Dissertations, Master's Theses and Master's Reports

Explainable AI (XAI) systems primarily focus on algorithms, integrating additional information into AI decisions and classifications to enhance user or developer comprehension of the system's behavior. These systems often incorporate untested concepts of explainability, lacking grounding in the cognitive and educational psychology literature (S. T. Mueller et al., 2021). Consequently, their effectiveness may be limited, as they may address problems that real users don't encounter or provide information that users do not seek.

In contrast, an alternative approach called Collaborative XAI (CXAI), as proposed by S. Mueller et al (2021), emphasizes generating explanations without relying solely on algorithms. CXAI centers …

How Do Angry Drivers Respond To Emotional Music? A Comprehensive Perspective On Assessing Emotion, Seyedeh Maryam Fakhr Hosseini

Dissertations, Master's Theses and Master's Reports

Driving is a complicated task that requires the coordination of visual and sensory-motor skills. Unsafe driving behavior and accidents can happen regardless of the level of drivers’ experience. The main cause of the most of these accidents is human error. Emotions influence the way drivers process and react to internal or environmental factors. Specifically, anger elicited either from traffic or personal issues, is a serious threat on the road. Therefore, having an affective intelligent system in the car that can estimate drivers’ anger and respond to it appropriately can help drivers adapt to moment to-moment changes in driving situations. To …

An Analysis Of Stakeholders Communication In Collaborative Software Development Projects, Wei Zhang

Dissertations, Master's Theses and Master's Reports

Software development is a multidisciplinary collaboration involving many stakeholders. However, existing software development processes exhibit many issues related to that collaboration. Because prior research on stakeholder analysis and teamwork revealed the importance of communication, this study analyzed stakeholder communication with reference to team activities as a social and cognitive process. The study’s goal was to understand the collaboration process during software development and to delineate factors that influence this process. We focused on communication between the software developers and their clients during the requirements gathering phase, the team process, and the inter-team and interdisciplinary collaboration, in particular between software engineers …