Exploring Gaze Behaviour and Perceived Personality Traits

Ijuin, Koki; Jokinen, Kristiina

doi:10.1007/978-3-030-49570-1_35

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…Conscientiousness was identified in many tests as well but significantly less frequent than extraversion. The identification of extraversion agrees with several studies about the head and eye movements or gaze of humanoid robots or virtual agents [20,33,[44][45][46], as does the identification of conscientiousness [33,45]. However, the two dimensions were by no means the only possibilities.…”

Section: Summary Of the Resultssupporting

confidence: 87%

Identifying Personality Dimensions for Engineering Robot Personalities in Significant Quantities with Small User Groups

2022

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Future service robots mass-produced for practical applications may benefit from having personalities. To engineer robot personalities in significant quantities for practical applications, we need first to identify the personality dimensions on which personality traits can be effectively optimised by minimising the distances between engineering targets and the corresponding robots under construction, since not all personality dimensions are applicable and equally prominent. Whether optimisation is possible on a personality dimension depends on how specific users consider the personalities of a type of robot, especially whether they can provide effective feedback to guide the optimisation of certain traits on a personality dimension. The dimensions may vary from user group to user group since not all people consider a type of trait to be relevant to a type of robot, which our results corroborate. Therefore, we had proposed a test procedure as an engineering tool to identify, with the help of a user group, personality dimensions for engineering robot personalities out of a type of robot knowing its typical usage. It applies to robots that can imitate human behaviour and small user groups with at least eight people. We confirmed its effectiveness in limited-scope tests.

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Section: Summary Of the Resultssupporting

confidence: 87%

Identifying Personality Dimensions for Engineering Robot Personalities in Significant Quantities with Small User Groups

2022

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“…An evaluation of personality traits in terms of gaze aimed at eye and body during HHI and HRI is explained in [19]. Results of the experiment confirmed that the participants gaze more at body in HRI than in HHI, and they gaze more at the partner's face in HHI than in HRI.…”

Section: Introductionmentioning

confidence: 75%

Exploring Embodied Resources in Gaze in Human-Robot Collaborative Environments

Sirithunge,

Boralessa,

Eranga

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Among various types of embodied resources in humans, gaze, started with mutual gaze, plays a major role in embodied cognition. In addition to establishing relationships during interactions, gaze further portrays information about the level of engagement in a dyadic interaction. Hence the gaze and gaze-related behaviors such as averted gaze can be used as cues to make decisions regarding an interaction. This holds true for a human and a robot during human-robot interaction (HRI) as well. Hence proactive robots could evaluate human gaze as a parameter to achieve situation-awareness. In this work, we present the outcomes of several experiments aimed at evaluating such gaze behavior of human-human nonverbal interactions and other behaviors initiated as a result during dyadic interactions. The possibility of evaluating situations by such behavioral responses of individuals as cues, is also examined. We further compared the relationships between gaze behavior of humans during HRI and human-human interaction (HHI). We considered the properties of existence and aversion of gaze, as gaze behaviors during this study. Results of these experiments indicate interesting tendencies in verbal and nonverbal human behavior in initiating of an interaction in both HHI and HRI. The behavioral patterns related to gaze, observed during the study were analyzed using statistical methods and critical observations are highlighted. The potential of analyzing gaze behavior in displaying messages to the outside world during HRI is discussed.

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“…Non-verbal cues also play a significant role in the perception of personality [6]. This has been shown in studies of gaze [7], back channels [8] and body language cues [9].…”

Section: Introductionmentioning

confidence: 84%

Perceived personality state estimation in dyadic and small group interaction with deep learning methods

Fenech¹,

Fodor²,

Bergeron³

et al. 2022

Preprint

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Dyadic and small group collaboration is an evolutionary advantageous behaviour and the need for such collaboration is a regular occurrence in day to day life. In this paper we estimate the perceived personality traits of individuals in dyadic and small groups over thin-slices of interaction on four multimodal datasets. We find that our transformer based predictive model performs similarly to human annotators tasked with predicting the perceived big-five personality traits of participants. Using this model we analyse the estimated perceived personality traits of individuals performing tasks in small groups and dyads. Permutation analysis shows that in the case of small groups undergoing collaborative tasks, the perceived personality of group members clusters, this is also observed for dyads in a collaborative problem solving task, but not in dyads under non-collaborative task settings. Additionally, we find that the group level average perceived personality traits provide a better predictor of group performance than the group level average self-reported personality traits.

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Exploring Gaze Behaviour and Perceived Personality Traits

Cited by 7 publications

References 17 publications

Identifying Personality Dimensions for Engineering Robot Personalities in Significant Quantities with Small User Groups

Identifying Personality Dimensions for Engineering Robot Personalities in Significant Quantities with Small User Groups

Exploring Embodied Resources in Gaze in Human-Robot Collaborative Environments

Perceived personality state estimation in dyadic and small group interaction with deep learning methods

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