Homework tutoring work is a demanding and often conflict-prone practice in family life, and parents often lack targeted support for managing its cognitive and emotional burdens. Through interviews with 18 parents of children in grades 1–3, we examine how homework-related labor is divided and coordinated between parents, and where AI might meaningfully intervene. We found three key insights: (1) Homework labor encompasses distinct dimensions: physical, cognitive, and emotional, with the latter two often remaining invisible. (2) We identified father-mother-child triadic dynamics in labor division, with children’s feedback as the primary factor shaping parental labor adjustments. (3) Building on prior HCI research, we propose an AI design that prioritizes relationship maintenance over task automation or broad labor mitigation. By employing labor as a lens that integrates care work, we explore the complexities of labor within family contexts, contributing to feminist and care-oriented HCI and to the development of context-sensitive coparenting practices.

Fitts’ law is a standard tool for assessing user performance and interaction device effectiveness in human-computer interaction (HCI). However, it disregards spatial variables in 3D space and arm fatigue impacts. To address these limitations in evaluating hand interaction performance in virtual reality (VR), a target pointing and acquisition experiment was conducted in which two mapping principles of hand movements (translation, angular rotation) and two interaction methods (hand controller, freehand) were compared. The results indicated that (1) in target acquisition, azimuth and inclination angles exhibited a sinusoidal relationship with hand movement time (MT); (2) arm fatigue significantly affected MT, demonstrating an exponential relationship with task duration; (3) in the case of translational movement mapping, freehand interaction exhibited less influence from fatigue compared to controller interaction; while (4) in the angular rotation mapping case, controller pointing demonstrated greater stability, with fewer declines in efficiency than freehand pointing. Based on the findings, new model formulations were developed to accommodate varying conditions.

Historically, discrete-event process simulation was first and most widely used in manufacturing contexts. As the technology has gradually matured and knowledge of its benefits has become more widely known, simulation usage has spread to warehouse design and operation, health-care delivery, retail customer service, and (as in this paper), the transport of people and/or goods. This project simulated the Blue Bus system of the University of Michigan. We analyzed the waiting time of passengers at each stop and the utilization of buses under two strategies; one is based on the schedule, the other is adding eight buses of Bursley-Baits during peak time besides the scheduled shifts which is practical Blue Bus running strategy. Under the two strategies, we analyzed the different scenarios that number of passengers increases by some times. We compared these scenarios and found the practical strategy is more robust when there is a sharp increase of passengers.