User’s Personality and Activity Influence on HRI Comfortable Distances

Rossi, Silvia; Staffa, Mariacarla; Bove, Luigi; Capasso, Roberto; Ercolano, Giovanni

doi:10.1007/978-3-319-70022-9_17

Cited by 48 publications

(26 citation statements)

References 15 publications

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“…According to Chidambaram et al [16], who underlined the key role of robots' non-verbal behavior in the persuasiveness and the users' compliance, we designed the three interaction styles based on the following verbal and non-verbal aspects (Table 1): -Proxemics We used the classification of Hall's interpersonal space, although we are aware of possible limitations of this concept applied to HRI [46], and also considering that the actual knowledge on personal space in humanrobot interaction is still very limited. We positioned the robot in the user's personal space (between 0.3 and 1 m) in all the different conditions [47]. This choice was made to create a personal space not too close to make participants feel uncomfortable, and not too far away to cause a persuasiveness reduction effect.…”

Section: Robot Behavioral Stylesmentioning

confidence: 99%

“Don’t Get Distracted!”: The Role of Social Robots’ Interaction Style on Users’ Cognitive Performance, Acceptance, and Non-Compliant Behavior

Maggi

Dell’Aquila

Cucciniello

et al. 2020

Int J of Soc Robotics

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Social robots are developed to provide companionship and assistance in the daily life of the children, older, and disable people but also have great potential as educational technology by facilitating learning. In these application areas, a social robot can take the role of a coach by training and assisting individuals also in cognitive tasks. Since a robot’s interaction style affects users’ trust and acceptance, customizing its behavior to the proposed tasks could, potentially, have an impact on the users’ performance. To investigate these phenomena, we enrolled sixty volunteers and endowed a social robot with a friendly and an authoritarian interaction style. The aim was to explore whether and how the robot’s interaction style could enhance users’ cognitive performance during a psychometric evaluation. The results showed that the authoritarian interaction style seems to be more appropriate to improve the performance when the tasks require high cognitive demands. These differences in cognitive performance between the groups did not depend on users’ intrinsic characteristics, such as gender and personality traits. Nevertheless, in the authoritarian condition, participants’ cognitive performance was related to their trust and the acceptance of the technology. Finally, we found that users’ non-compliant behavior was not related to their personality traits. This finding indirectly supports the role of the robot’s interaction style in influencing the compliance behavior of the users.

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Section: Robot Behavioral Stylesmentioning

confidence: 99%

“Don’t Get Distracted!”: The Role of Social Robots’ Interaction Style on Users’ Cognitive Performance, Acceptance, and Non-Compliant Behavior

Maggi

Dell’Aquila

Cucciniello

et al. 2020

Int J of Soc Robotics

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“…Another crucial aspect to examine in HRI is how individual differences in robot perception translate to differences in behavior [11,12]. Indeed, individual differences, such as personality traits or attitudes, have been found to affect the perception and acceptance of robots in social situations [13][14][15][16]. For example, higher levels of neuroticism seem to predict the preference of more machine-like robots [13].…”

Section: Introductionmentioning

confidence: 99%

“…A full range of individual differences, like anxiety, perfectionism or religious fundamentalism, have been proposed to explain feelings of eeriness towards the robot [15]. Differences in trustworthiness perception of a robot have been demonstrated to predict behavior in a human-robot team [16][17].…”

Section: Introductionmentioning

confidence: 99%

Individual Differences in Attitude Toward Robots Predict Behavior in Human-Robot Interaction

Hinz

Ciardo

Wykowska

2019

Lecture Notes in Computer Science

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Humans are influenced by the presence of other social agents, sometimes performing better, sometimes performing worse than alone. Humans are also affected by how they perceive the social agent. The present study investigated whether individual differences in the attitude toward robots can predict human behavior in Human-Robot Interaction (HRI). Therefore, adult participants played a game with the Cozmo robot (Anki Inc., San Francisco), in which their task was to stop a balloon from exploding. In individual trials, only the participants could stop the balloon inflating, while in joint trials also Cozmo could stop it. Results showed that in joint trials, the balloon exploded less often than in individual trials. However participants stopped the balloon earlier in joint than in individual trials, although this was less beneficial for them. This effect of Cozmo joining the game, nevertheless, was influenced by the negative attitude of the participants toward robots. The more negative they were, the less their behavior was influenced by the presence of the robot. This suggests that robots can influence human behavior, although this influence is modulated by the attitude toward the robot.

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“…When evaluating people's responses towards the interaction with a robot, it is important to consider their personal characteristics since they could be predisposed to like or dislike robots in general. Indeed, in this work, we also explore the influence of personality factors and technology acceptance on the cognitive test performance, as previous literature had shown the effect of factors like personal innovativeness [9] and openness to experience [10] in the use and evaluation of new technologies.…”

Section: Introductionmentioning

confidence: 99%

Psychometric Evaluation Supported by a Social Robot: Personality Factors and Technology Acceptance

Rossi

Santangelo

Staffa

et al. 2018

2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)

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Robotic psychological assessment is a novel field of research that explores social robots as psychometric tools for providing quick and reliable screening exams. In this study, we involved elderly participants to compare the prototype of a robotic cognitive test with a traditional paper-and-pencil psychometric tool. Moreover, we explored the influence of personality factors and technology acceptance on the testing. Results demonstrate the validity of the robotic assessment conducted under professional supervision. Additionally, results show the positive influence of Openness to experience on the interaction with robot's interfaces, and that some factors influencing technology acceptance, such as Anxiety, Trust, and Intention to use, correlate with the performance in the psychometric tests. Technical feasibility and user acceptance of the robotic platform are also discussed.

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User’s Personality and Activity Influence on HRI Comfortable Distances

Cited by 48 publications

References 15 publications

“Don’t Get Distracted!”: The Role of Social Robots’ Interaction Style on Users’ Cognitive Performance, Acceptance, and Non-Compliant Behavior

“Don’t Get Distracted!”: The Role of Social Robots’ Interaction Style on Users’ Cognitive Performance, Acceptance, and Non-Compliant Behavior

Individual Differences in Attitude Toward Robots Predict Behavior in Human-Robot Interaction

Psychometric Evaluation Supported by a Social Robot: Personality Factors and Technology Acceptance

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