Subtle emotional expressions of synthetic characters

Anthropomorphic Interfaces on Automation Trust, Dependence, and Performance inYounger and Older Adults

“…This was based on the literature indicating positive facial expressions provided a decoding advantage (i.e., are more easily decoded; Bartneck & Reichenbach, 2005;Calvo & Lundqvist, 2008;, and the finding that older adults could decode positive facial expressions as accurately as younger adults . However, we found that the relationship between younger and older adults' decoding accuracy did not significantly change due to facial expression condition.…”

“…This finding supports happy facial expressions as one of the most familiar and perhaps easiest of facial expressions to decode for humans. Bartneck and Reichenbach (2005) performed a similar study that sought to determine how the actual intensity of facial stimuli affected perceived intensity and accuracy. It was found that participants displayed high accuracy in perceiving happy face intensity, high recognition accuracy for happy faces, and gave low task difficult ratings for happy faces.…”

Visual Perception for Emotion-Based Communication of a Partner Robot

“…Emotion, consciousness, and communication has been discussed from various kinds of viewpoints such as psychology, sociology, and brain science [10][11][12][13][14][15][16]. A Brain is considered as a black box from the macroscopic point of view in the discussion on emotion in psychology.…”

“…Therefore, we use a steady-state genetic algorithm (SSGA) for human detection as one of search methods, because SSGA can easily obtain feasible solutions through environmental changes with low computational cost [20,21]. SSGA simulates a continuous model of the generation, which eliminates and generates a few individuals in a generation (iteration) [14]. The human face candidate positions based on human skin and hair colors are extracted by SSGA with template matching.…”

Kansei Mediated Entertainment

“…The Tamagochi, Furby, micro-pets are examples that could be used as inspiration (Salem and Rauterberg, 2005b). The key issues they addressed were: (1) Rendering of emotion through postures and movements (Bartneck and Reichenbach, 2005), (2) effective human perception of the emotions expressed by the robot, (3) clear rules of engagement and social rules used by the human and the robot, (4) as natural as possible interaction between the user and the robot, and (5) real-time performance by the robot. Several modalities are available: body postures, body movements, simplified hand gestures, head movements, and the production of non-speech sounds.…”