This article examined how different time and task management information widgets affect time perception across modalities. In mentally demanding office environments, effective countdown representations are crucial for enhancing temporal awareness and productivity. We developed TickSens, a set of information widgets with different modalities, and conducted a within-subjects experiment with 30 participants to evaluate the five types of time perception modes: visual, auditory, haptic, as well as the blank and the timer modes. Our assessment focused on the technology acceptance, cognitive performance and emotional responses. Results indicated that compared to the blank and the timer modes, the use of modalities significantly improved the cognitive performance and positive emotional responses, and was better received by participants. The visual mode had the best task performance, while the auditory feedback was effective in boosting focus and the haptic mode significantly enhances user acceptance. The study revealed varied user preferences that enlightened the integration of these widgets into office.

Nowadays, future classroom lacks sensing ability to determine the emotional status of the included actors. This paper thus discusses an Edge Computing enhanced Emotional computing (EC2) framework to effectively analyze, process, induce and infer those human-based subjective data to obtain useful emotional features (happy, stressed, etc) of the actors, then control the correlated facilities in the classroom to behave accordingly. Under this deployment, future classroom will become smarter and be more applicable for different schools. According to the living lab in Sichuan Tianfu New Area Luxelakes Primary School, the EC2-framework is validated to be effective.