Operationalization of the IAE Model Entities: Relevant Dimensions in the Context of this Work

This chapter outlines the operationalization of the Individuality Assisted Estimation model entities, emphasizing relevant dimensions in the context of multimedia Quality of Experience (QoE) research. Building on the fundamentals discussed earlier, the chapter identifies core metrics for evaluating QoE in video-telephony, including audiovisual, speech, and video quality perceptions, as well as cognitive dimensions like mental load and effort. Emotional states are also considered, though primarily as transitory states rather than outcome measures. The chapter details the experimental paradigms used to gather data, including a video-based conversation simulation and an active conversation study, both designed to elicit realistic quality degradation scenarios. It describes the assessment of experience ratings, dependent states (such as affective states and social perception), independent states (including hunger, sleep, and drug use), and individual traits (like personality dimensions and frustration intolerance). Additionally, it explores physiological and behavioral reactions using sensors for Electrocardiogram (ECG), Electrodermal activity (EDA), eye tracking, and facial configuration tracking, as well as conversational interactivity metrics. The chapter concludes by proposing a systematic approach to validate the selected variables’ meaningful relationships with the Individuality Assisted Estimation (IAE) model entities, paving the way for comprehensive analysis and enhanced QoE prediction in multimedia contexts.