Development of Culture-specific Gaze Behaviours of Virtual Agents
Tomoko Koda
1,2
, Taku Hirano
1
and Takuto Ishioh
2
1
Faculty of Information Science and Technology, Osaka Institute of Technology, Osaka, Japan
2
Graduate School of Information Science and Technology, Osaka Institute of Technology, Osaka, Japan
Keywords: Intelligent Virtual Agents, Human-agent Interaction, Gaze, Non-verbal Behaviour, Cross-Culture, Perception,
Evaluation.
Abstract: Gaze plays an important role in human-human communication. Adequate gaze control of a virtual agent is
also essential for successful and believable human-agent interaction. Researchers in intelligent virtual agents
have developed gaze control models by taking account of gaze duration, frequency and timing of gaze
aversion. However, none of them have considered cultural differences in gaze behaviours. We aim to
investigate cultural differences in gaze behaviours and their perception, by developing virtual agents with
Japanese gaze behaviours, western gaze behaviours, their hybrid gaze behaviours, and full gaze behaviours,
and compare their effects on the impressions of the agents and interactions. This position paper proposes our
research agenda, describes the implemented gaze models, and our experimental design.
1 INTRODUCTION
Intelligent virtual agents (IVAs) that interact face-to-
face with humans are beginning to spread to general
users across cultures, and IVA research is being
actively pursued. IVAs require both verbal and
nonverbal communication abilities to achieve natural
interaction with humans. Among those non-verbal
behaviours, gaze plays an important role in our social
interactions such as controlling the flow of a
conversation, indicating interest and intentions, and
improving listener's attention and comprehension
(Argyle and Cook, 1976; Bayliss et al., 2006).
As in humans, virtual agent's gaze behaviour is
also important to provide natural interaction. Previous
research on modelling gaze behaviour of virtual
agents were conducted to make appropriate turn
management (Pelachaud and Bilvi, 2003), to figure
out where to look at (Lee et al., 2007), to make idle
gaze movements (Cafaro et al., 2009), to express
social dominance by gaze (Bee, 2010), to compare
sensitivity to amount of gaze according to evaluators'
shyness level (Koda et al., 2016), and what the
adequate amount of gaze is to facilitate interaction
(Ishii et al., 2006; Ishii et al., 2008), all of which
report modelling realistic human gaze behaviour to an
agent resulted in more natural and smooth interaction.
However, none of the above IVA research has
addressed and implemented cultural difference in
gaze behaviours, while researchers in psychology
report cultural difference in gaze behaviours and their
perception. We believe there is a strong need to
develop enculturated agents by making them exhibit
culture-specific non-verbal behaviours such as gaze.
In terms of culture-specific gaze behaviours, there
are findings from observation and video analysis of
human-human and human-agent interactions that
show cultural differences. Mayo indicated gaze
patterns differ according to the culture of the
conversant by analysing gaze behaviours in video
recordings of human-human conversations (Mayo
and La France, 1978). Elzinga reported that Japanese
had “more frequent and shorter lasting other directed
gazes” than Australian participants. He also found
that English-speaking participants looked at the other
person to signal turns, while Japanese did not
(Elzinga, 1978). Argyle found that Swedes gaze at
their conversation partner more than English (50% vs.
38% of the time) (Argyle and Cook, 1976).
In terms of perception of gaze behaviours, there
are studies that indicates cultural preferences of gaze
amount that one receives. According to Cook,
favourableness of impression would be a linear
function of amount of gaze a person receives, and the
50% of gaze amount gave the most favourable
impression toward the human gazer in the experiment
conducted in UK (Cook and Smith, 1975). Fukayama
et al., changed the amount of gaze from a virtual agent