Investigation of Frustration

Weidemann, Alexandra; Rußwinkel, Nele

doi:10.1145/3340764.3344915

Cited by 3 publications

(4 citation statements)

References 27 publications

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“…As shown in our previous study on frustration (Weidemann and Rußwinkel, 2019) the sense of dominance and control turn out to be important aspects in this context. The results revealed that frustration led to a reduction of sense of dominance and control.…”

Section: Dominance and Controlmentioning

confidence: 59%

“…Various authors found a direct influence on the acceptance of a technical system and trust on the decrease of frustration ( Giuliani et al, 2015 ; Yang, 2016 ; Abd et al, 2017 ). It was found that the sense of dominance was low when frustration was high in a task with high attentional demands ( Weidemann and Rußwinkel, 2019 ). In this study, dominance was viewed and questioned as control and the ability of being in control of a situation.…”

Section: Introductionmentioning

confidence: 99%

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The Role of Frustration in Human–Robot Interaction – What Is Needed for a Successful Collaboration?

Weidemann

Rußwinkel

2021

Front. Psychol.

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To realize a successful and collaborative interaction between human and robots remains a big challenge. Emotional reactions of the user provide crucial information for a successful interaction. These reactions carry key factors to prevent errors and fatal bidirectional misunderstanding. In cases where human–machine interaction does not proceed as expected, negative emotions, like frustration, can arise. Therefore, it is important to identify frustration in a human–machine interaction and to investigate its impact on other influencing factors such as dominance, sense of control and task performance. This paper presents a study that investigates a close cooperative work situation between human and robot, and explore the influence frustration has on the interaction. The task for the participants was to hand over colored balls to two different robot systems (an anthropomorphic robot and a robotic arm). The robot systems had to throw the balls into appropriate baskets. The coordination between human and robot was controlled by various gestures and words by means of trial and error. Participants were divided into two groups, a frustration- (FRUST) and a no frustration- (NOFRUST) group. Frustration was induced by the behavior of the robotic systems which made errors during the ball handover. Subjective and objective methods were used. The sample size of participants was N = 30 and the study was conducted in a between-subject design. Results show clear differences in perceived frustration in the two condition groups and different behavioral interactions were shown by the participants. Furthermore, frustration has a negative influence on interaction factors such as dominance and sense of control. The study provides important information concerning the influence of frustration on human–robot interaction (HRI) for the requirements of a successful, natural, and social HRI. The results (qualitative and quantitative) are discussed in favor of how a successful und effortless interaction between human and robot can be realized and what relevant factors, like appearance of the robot and influence of frustration on sense of control, have to be regarded.

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Section: Dominance and Controlmentioning

confidence: 59%

Section: Introductionmentioning

confidence: 99%

The Role of Frustration in Human–Robot Interaction – What Is Needed for a Successful Collaboration?

Weidemann

Rußwinkel

2021

Front. Psychol.

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“…A significant effect of trust on acceptance was found in the context of industrial HRC [16]. Also, [17] summarizes that emotional reactions seem to be a critical contributor to trust although the relationship of emotional experience and trust in automation is rarely studied [18]. Therefore, several outcome criteria should be included in HRC studies.…”

Section: Human Factors Research In Hrcmentioning

confidence: 99%

“…Therefore, several outcome criteria should be included in HRC studies. Apart from other emotions like frustration [17], anxiety as one specific negative emotion is important in the context of HRC. Various experiments studied anxiety resulting from direct cooperation with a robot in the shared workplace [12,19].…”

Section: Human Factors Research In Hrcmentioning

confidence: 99%

Emotional Experience in Human–Robot Collaboration: Suitability of Virtual Reality Scenarios to Study Interactions beyond Safety Restrictions

Legler,

Trezl,

Langer

et al. 2023

Robotics

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Today’s research on fenceless human–robot collaboration (HRC) is challenged by a relatively slow development of safety features. Simultaneously, design recommendations for HRC are requested by the industry. To simulate HRC scenarios in advance, virtual reality (VR) technology can be utilized and ensure safety. VR also allows researchers to study the effects of safety-restricted features like close distance during movements and events of robotic malfunctions. In this paper, we present a VR experiment with 40 participants collaborating with a heavy-load robot and compare the results to a similar real-world experiment to study transferability and validity. The participant’s proximity to the robot, interaction level, and occurring system failures were varied. State anxiety, trust, and intention to use were used as dependent variables, and valence and arousal values were assessed over time. Overall, state anxiety was low and trust and intention to use were high. Only simulated failures significantly increased state anxiety, reduced trust, and resulted in reduced valence and increased arousal. In comparison with the real-world experiment, non-significant differences in all dependent variables and similar progression of valence and arousal were found during scenarios without system failures. Therefore, the suitability of applying VR in HRC research to study safety-restricted features can be supported; however, further research should examine transferability for high-intensity emotional experiences.

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Multi-Modal User Modeling for Task Guidance: A Dataset for Real-Time Assistance with Stress and Interruption Dynamics

Hashky,

Rheault,

Ahsan

et al. 2024

2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

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Investigation of Frustration

Cited by 3 publications

References 27 publications

The Role of Frustration in Human–Robot Interaction – What Is Needed for a Successful Collaboration?

The Role of Frustration in Human–Robot Interaction – What Is Needed for a Successful Collaboration?

Emotional Experience in Human–Robot Collaboration: Suitability of Virtual Reality Scenarios to Study Interactions beyond Safety Restrictions

Multi-Modal User Modeling for Task Guidance: A Dataset for Real-Time Assistance with Stress and Interruption Dynamics

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