Digital Emotion : How Audiences React to Robots on Screen

Schofield, Damian

doi:10.5121/caij.2018.5101

Cited by 4 publications

(1 citation statement)

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“…Independent of their morphology and their ability to assist people, the reception of robots in the media is often characterized by a certain fear or even an anxiety of a "technology takeover" [12][13][14]. While robots that perform a specific function, such as cleaning or helping, are generally accepted, the reaction to robots that are more human or have near-human forms and behaviors is more reserved and fearful.…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of the Attitudes towards Social Robots Scale

Niewrzol,

Ostermann

2024

Healthcare

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The idea of artificially created social robots has a long tradition. Today, attitudes towards robots play a central role in the field of healthcare. Our research aimed to develop a scale to measure attitudes towards robots. The survey consisted of nine questions on attitudes towards robots, sociodemographic questions, the SWOP-K9, measuring self-efficacy, optimism, and pessimism, and the BFI-10, measuring personality dimensions. Structural relations between the items were detected using principal components analysis (PCA) with Varimax rotation. Correlations and Analysis of Variance were used for external validation. In total, 214 participants (56.1% female, mean age: 30.8 ± 14.4 years) completed the survey. The PCA found two main components, “Robot as a helper and assistant” (RoHeA) and “Robot as an equal partner” (RoEqP), with four items each explaining 53.2% and 17.5% of the variance with a Cronbach’s α of 0.915 and 0.768. In the personality traits, “Conscientiousness” correlated weakly with both subscales and “Extraversion” correlated with RoHeA, while none the subscales of the SWOP-K9 significantly correlated with RoEqP or RoHeA. Male participants scored significantly higher than female participants. Our survey yielded a stable and convergent two-factor instrument that exhibited convincing validity and complements other findings in the field. The ASRS can easily be used to describe attitudes towards social robots in human society. Further research, however, should be carried out to investigate the discriminant and convergent validity of the ASRS.

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Section: Introductionmentioning

confidence: 99%

Development and Validation of the Attitudes towards Social Robots Scale

Niewrzol,

Ostermann

2024

Healthcare

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Moral Awareness of College Students Regarding Artificial Intelligence

Ghotbi

Hồ

2021

ABR

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Measuring human perceptions of expressivity in natural and artificial systems through the live performance piece Time to compile

Cuan

Berl

LaViers

2019

Paladyn, Journal of Behavioral Robotics

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Live performance is a vehicle where theatrical devices are used to exemplify, probe, or question how humans think about objects, each other, and themselves. This paper presents work using this vehicle to explore human perceptions of robot and human capabilities. The paper documents four performances at three distinct venues where user studies were conducted in parallel to live performance. A set of best practices for successful collection of data in this manner over the course of these trials is developed. Then, results of the studies are presented, giving insight into human opinions of a variety of natural and artificial systems. In particular, participants are asked to rate the expressivity of 12 distinct systems, displayed on stage, as well as themselves. The results show trends ranking objects lowest, then robots, then humans, then self, highest. Moreover, objects involved in the show were generally rated higher after the performance. Qualitative responses give further insight into how viewers experienced watching human performers alongside elements of technology. This work lays a framework for measuring human perceptions of robotic systems – and factors that influence this perception – inside live performance and suggests black-that through the lens of expressivity systems of similar type are rated similarly by audience members.

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Digital Emotion : How Audiences React to Robots on Screen

Abstract: ABSTRACT

Cited by 4 publications

References 42 publications

Development and Validation of the Attitudes towards Social Robots Scale

Development and Validation of the Attitudes towards Social Robots Scale

Moral Awareness of College Students Regarding Artificial Intelligence

Measuring human perceptions of expressivity in natural and artificial systems through the live performance piece Time to compile

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