The Effects of Robot Voice and Gesture Types on the Perceived Robot Personalities

Dou, Xiao; Wu, Chih‐Fu; Lin, Kuo‐Cherng; Tseng, Tzu‐Min

doi:10.1007/978-3-030-22646-6_21

Cited by 18 publications

(9 citation statements)

References 37 publications

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“…Failure e.g., natural dialogue negatively affects prospect interactions (Schramm et al, 2020 ). Moreover, HRI research showed that the attribution of personality traits like extroversion or dominance to the robot can serve as predictors of their social acceptance (Woods et al, 2005 ; Mileounis et al, 2015 ; Dou et al, 2019 ; Tanevska et al, 2019 ; Mou et al, 2020 ). Based on the similarity-complementary hypothesis, it remains inconclusive whether humans do prefer robots with similar personality characteristics or not (Esterwood et al, 2021 ) and whether the personality preference is task-dependent (Joosse et al, 2013 ).…”

Section: Motivation and Related Workmentioning

confidence: 99%

Is It Me or the Robot? A Critical Evaluation of Human Affective State Recognition in a Cognitive Task

et al. 2022

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A key goal in human-robot interaction (HRI) is to design scenarios between humanoid robots and humans such that the interaction is perceived as collaborative and natural, yet safe and comfortable for the human. Human skills like verbal and non-verbal communication are essential elements as humans tend to attribute social behaviors to robots. However, aspects like the uncanny valley and different technical affinity levels can impede the success of HRI scenarios, which has consequences on the establishment of long-term interaction qualities like trust and rapport. In the present study, we investigate the impact of a humanoid robot on human emotional responses during the performance of a cognitively demanding task. We set up three different conditions for the robot with increasing levels of social cue expressions in a between-group study design. For the analysis of emotions, we consider the eye gaze behavior, arousal-valence for affective states, and the detection of action units. Our analysis reveals that the participants display a high tendency toward positive emotions in presence of a robot with clear social skills compared to other conditions, where we show how emotions occur only at task onset. Our study also shows how different expression levels influence the analysis of the robots' role in HRI. Finally, we critically discuss the current trend of automatized emotion or affective state recognition in HRI and demonstrate issues that have direct consequences on the interpretation and, therefore, claims about human emotions in HRI studies.

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Section: Motivation and Related Workmentioning

confidence: 99%

Is It Me or the Robot? A Critical Evaluation of Human Affective State Recognition in a Cognitive Task

et al. 2022

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“…(3) Tone refers to the waveform of the sound wave itself. The sound waves, which are generated by the vibration of different sounding bodies, are different.Human voice is more complicated than sound, because human voice comes from the vibration of vocal cords to drive air to resonate in the chest cavity, abdominal cavity and skull, and then it will be affected by the shape of the nose and lips during the output process Interference [9].Previous researchers, on the one hand, asked the vocalist to pronounce normally when receiving vocal research samples, on the other hand, they used Fundamental frequency (F0), also known as fundamental frequency, to describe the vocal frequency [10].The fundamental frequency refers to the lowest frequency of the composite wave formed by human voice in vocalization, which can be measured by using spectrum analysis software [11] [12].It is the current voice that is the most commonly used by research indicators in the study of acoustics.…”

Section: Sound and Vocal Characteristicsmentioning

confidence: 99%

“…Tay et al [4] defined fast speech rate = 216 words per minute and slow speech rate = 184 words per minute in a previous study. Dou et al [12] defined Female frequency = 228.49Hz; male frequency = 133.55Hz. Based on the above research, this study uses Adobe Audition CC to control the fundamental frequency and speech rate [29].…”

Section: Voice Sample Setting and Productionmentioning

confidence: 99%

Explore on Voice Parameters of Social Robots Applied in Education Industry

Yuan¹,

Wu²,

Lin³

et al. 2020

International Conference of Control, Dynamic Systems, and Robotics

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The language communication of social robots has a great significance meaning for improving the robot's intelligence and humanity.This research explores the impact of the dialogue type and voice parameter settings of social robots in the education industry on their perceived personality traits and acceptance, and constructs the principles and models of voice applications for robots that are suitable for the education industry.The study included the influence of the educational robot's dialogue type and speech parameters, gender , fundamental frequency, and speech rate. Through the control of robot's speech and dialogue content, to measure the personality of the robot during the interaction between the subjects and the robots. The experiment invited 32 subjects to conduct VHRI robot experiments, which was found that there is a significant interactive effects among the dialogue types and voice parameters of social robots used in the education industry. In addition, the gender of sound and fundamental frequency can improve the personal characteristics of robot extroversion (E), agreeableness (A),conscientiousness (C), openness (O), and anti-neurotic (N). Speech rates can improve the robot's agreeableness(A), conscientiousness (C), anti-neurotic (N), openness (O) and other characteristics. This study confirmed that the robot's dialogue types and voice parameter setting can be used to improve the robot's perceptual personality traits to improve its humanity. On this basis , the results will help social robots play their professional role in the application of education better and get better integrate into human society ,at the same time, it provides references for the voice parameters design of social robotics in different industries in the future.

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“…When deploying robots in pub-lic and private locations, robots need to be able to provide natural services. Manipulating appearances, facial expressions, voices and gestures can improve the service quality of robots and improve their social acceptability [4]. Previous researchers suggested that humans could communicate easily with robots that have physical features similar to humans, such as arms and a head [5,6].…”

Section: Introductionmentioning

confidence: 99%

SMA micro-hand implemented in small robot for generating gestures

Ishikawa

Nagasawa

2021

Intel Serv Robotics

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Research on robots that can be used for communication with humans has become popular in recent years. Communication robots should ideally be as small as an infant in order to reduce the user’s feeling of threat. In addition, non-verbal communication (such as gestures) is also important in facilitating smooth interactions between humans and robots. There are currently a few communication robots that are small sized and can generate hand gestures. In this paper, we propose a small robot hand, which is optimized for gesture communication by using a shape memory alloy (SMA). The SMA employed is a Ti–Ni alloy, which is used as an actuator. The SMA shrinks when it transforms into the austenite phase at temperatures higher than the transformation temperature. When it is in the martensitic phase at a lower temperature, it is expanded by an external force. Each finger of the robot hand is driven by an individual SMA wire. The specifications of the small robot including the hand size, operation angles in each finger joint, response times and power consumption were determined according to the human finger and existing small communication robots. These required specifications have been fulfilled by carefully designing the geometry and heating/cooling power control. A questionnaire-based survey was also conducted with a robot hand. The five-finger hand was successfully shown to generate recognizable symbolic gestures.

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The Effects of Robot Voice and Gesture Types on the Perceived Robot Personalities

Cited by 18 publications

References 37 publications

Is It Me or the Robot? A Critical Evaluation of Human Affective State Recognition in a Cognitive Task

Is It Me or the Robot? A Critical Evaluation of Human Affective State Recognition in a Cognitive Task

Explore on Voice Parameters of Social Robots Applied in Education Industry

SMA micro-hand implemented in small robot for generating gestures

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