Multiple-agent promotion in a grocery store: effects of modality and variability of agents on customer memory.

The use of social robots for product advertising is becoming prevalent. Previous studies have demonstrated that social robots can positively impact sales recommendations. However, the essential question of "how effectively customers remember the advertised content" remains unexplored.

Influence of collaborative customer service by service robots and clerks in bakery stores.

In recent years, various service robots have been deployed in stores as recommendation systems. Previous studies have sought to increase the influence of these robots by enhancing their social acceptance and trust. However, when such service robots recommend a product to customers in real environments, the effect on the customers is influenced not only by the robot itself, but also by the social influence of the surrounding people such as store clerks.

Behavioral Assessment of a Humanoid Robot When Attracting Pedestrians in a Mall.

Research is currently being conducted on the use of robots as human labor support technology. In particular, the service industry needs to allocate more manpower, and it will be important for robots to support people. This study focuses on using a humanoid robot as a social service robot to convey information in a shopping mall, and the types of robot behaviors were analyzed.

Theoretical interpretation of drivers' gaze strategy influenced by optical flow.

Driver analysis, particularly revealing where drivers gaze, is a key factor in understanding drivers' perception. Several studies have examined drivers' gaze behavior and the two main hypotheses that have been developed are Tangent Point (TP) and Future Path Point (FP). TP is a point on the inner side of the lane, where the driver's gaze direction becomes tangential with the lane edge.

Steering bends and changing lanes: The impact of optic flow and road edges on two point steering control.

Successful driving involves steering corrections that respond to immediate positional errors while also anticipating upcoming changes to the road layout ahead. In popular steering models these tasks are often treated as separate functions using two points: the near region for correcting current errors, and the far region for anticipating future steering requirements. Whereas two-point control models can capture many aspects of driver behavior, the nature of perceptual inputs to these two "points" remains unclear.