The COVID-19 pandemic has led to a rapid increase in teleworking, and research on teleworking also has been active. Under the upcoming post-COVID-19 era, teleworking has become less relevant as a measure of infection control, and the nature of teleworking is expected to transform into new work styles such as hybrid work, which combines teleworking and office work. Thus, we conducted scoping reviews of relevant literature, and summarized research issues in terms of Human Factors and Ergonomics （HFE） with physical, cognitive, and organizational aspects. The issues provide HFE challenges to be addressed with a system view for responding to upcoming new teleworking styles in the post-COVID-19 era.

Previous studies have suggested that verbal instruction focusing on the hip position, such as ‘holding an object with their hips down’, leads to recommended lifting motions （holding objects with knee and hip joints flexed simultaneously）. This study investigated the effectiveness of such instruction with assuming poor flexibility of the lower limb. Sixteen healthy males performed a lifting motion using the Toe-wedge （with the toes higher than the heels）, with verbal instructions focusing on the hip position. Motion analysis revealed that the knee flexion was smaller and the trunk was greatly tilted forward under the Toe-wedge than that under the flat floor condition. Therefore, the individuals with poor lower limb flexibility might be difficult to perform the recommended lifting motion even with instructions focusing on the hip position. This study also performed the same lifting motions in 15 healthy males using a Heel-wedge （with the heel inclined higher than the toes）; the Heel-wedge condition resulted in more flexion of the knee and a smaller trunk tilt forward than in the flat floor condition. This result suggests that the Heel-wedge approach may be more likely to lead to the recommended lifting motion.

Trust has become a key factor in creating more believable and humanistic social robots with continuous improvements in the design of robots. Various determinants contribute to trust in human communication, which have not been studied in human-robot interactions. This study investigated how the benevolence and competence characteristics of a social robot affect the perception of trustworthiness in human–robot interactions. We conducted a between-subject experiment in which the participants were presented with four different combinations of benevolence and competence for a social robot, and their general, affective, and cognitive trust toward the robot was measured. The results indicated the effectiveness of both benevolence and competence in human-robot trust. Furthermore, the participants rated the benevolent-noncompetent robot as more trustworthy than other behaviors in terms of affective trust, but not cognitive and general trust, which revealed the primacy of benevolence in fostering affective trust, and modulating general and cognitive trust. However, the competent robot did not significantly influence cognitive trust. Consequently, benevolence and competence are two influential factors in human-robot trust, with the significant effect of benevolence, which can help design more anthropomorphic social robots in the future.

In this study, we investigated the relationship between eye movements and subjective evaluation of continuity during video transitions, through an analysis of both eye-tracking measurements and subjective ratings. We created 3DCG videos using a three-factor design, with two levels of shot composition （close to wide, wide to close）, two levels of match on action （match, mismatch）, and two levels of background image （present, absent） as stimuli. Participants were presented with stimuli and asked to rate on a 5-point scale whether they saw a continuous connection between the two shots. The results showed that subjective continuity ratings were lower in visual perception when eye movements were relatively large before and after a transition.