Pink Stinks - at Least for Men

Carolus, Astrid; Schmidt, Catharina; Muench, Ricardo; Mayer, Lena; Schneider, Florian

doi:10.1007/978-3-319-91244-8_40

Cited by 8 publications

(3 citation statements)

References 32 publications

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“…To accompany the monologue held by the virtual robot, simple gestures such as waving and various beat-gestures were implemented. A virtual robot, despite its non-human appearance, might unintentionally trigger human-like associations within the user through for example specific clothing or colouring (Carolus et al, 2018;Trovato et al, 2016). In contrast to a humanoid SIA however, a virtual robot allows for a more isolated exploration of speech as a cultural cue, since the cultural cues that it may trigger are not explicit.…”

Section: Design Of the Virtual Robotmentioning

confidence: 99%

The impact of mixed-cultural speech on the stereotypical perception of a virtual robot

Obremski

Friedrich²,

Haak³

et al. 2022

Front. Robot. AI

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Despite the fact that mixed-cultural backgrounds become of increasing importance in our daily life, the representation of multiple cultural backgrounds in one entity is still rare in socially interactive agents (SIAs). This paper’s contribution is twofold. First, it provides a survey of research on mixed-cultured SIAs. Second, it presents a study investigating how mixed-cultural speech (in this case, non-native accent) influences how a virtual robot is perceived in terms of personality, warmth, competence and credibility. Participants with English or German respectively as their first language watched a video of a virtual robot speaking in either standard English or German-accented English. It was expected that the German-accented speech would be rated more positively by native German participants as well as elicit the German stereotypes credibility and conscientiousness for both German and English participants. Contrary to the expectations, German participants rated the virtual robot lower in terms of competence and credibility when it spoke with a German accent, whereas English participants perceived the virtual robot with a German accent as more credible compared to the version without an accent. Both the native English and native German listeners classified the virtual robot with a German accent as significantly more neurotic than the virtual robot speaking standard English. This work shows that by solely implementing a non-native accent in a virtual robot, stereotypes are partly transferred. It also shows that the implementation of a non-native accent leads to differences in the perception of the virtual robot.

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Section: Design Of the Virtual Robotmentioning

confidence: 99%

The impact of mixed-cultural speech on the stereotypical perception of a virtual robot

Obremski

Friedrich²,

Haak³

et al. 2022

Front. Robot. AI

View full text Add to dashboard Cite

show abstract

“…Furthermore, more modern popular devices, which send considerably more alleged social cues than their ancestors studied in early CASA research, were analyzed. Recent studies focused on smartphones and revealed gender stereotypes (Carolus et al, 2018a) and reccurring effects of politeness (Carolus et al, 2018b), for example. Similarly, virtual agents and social robots were shown to elicit social responses (for an overview: Krämer et al, 2015).…”

Section: Media Equation: Media Equals Real Lifementioning

confidence: 99%

“Imagine this smart speaker to have a body”: An analysis of the external appearances and the characteristics that people associate with voice assistants

Carolus

Wienrich²

2022

Front. Comput. Sci.

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IntroductionModern digital devices, such as conversational agents, simulate human–human interactions to an increasing extent. However, their outward appearance remains distinctly technological. While research revealed that mental representations of technology shape users' expectations and experiences, research on technology sending ambiguous cues is rare.MethodsTo bridge this gap, this study analyzes drawings of the outward appearance participants associate with voice assistants (Amazon Echo or Google Home).ResultsHuman beings and (humanoid) robots were the most frequent associations, which were rated to be rather trustworthy, conscientious, agreeable, and intelligent. Drawings of the Amazon Echos and Google Homes differed marginally, but “human,” “robotic,” and “other” associations differed with respect to the ascribed humanness, consciousness, intellect, affinity to technology, and innovation ability.DiscussionThis study aims to further elaborate on the rather unconscious cognitive and emotional processes elicited by technology and discusses the implications of this perspective for developers, users, and researchers.

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“…Additional studies revealed further indication of gender stereotyping (Lee et al, 2000;Lee and Nass, 2002;Morishima et al, 2002) and further social norms and rules to be applied to computers, e.g., politeness (Nass et al, 1999) or group membership (Nass et al, 1996). More recently, studies transferred this paradigm to more recent technology (Carolus et al, 2018;Carolus et al, 2019a). Rosenthal-von der Puetten et al (2013) widened the focus and analyzed observers' empathetic reactions toward a dinosaur robot (Ugobe's Pleo).…”

Section: Talking Technology: Conversational Agentsmentioning

confidence: 99%

‘Alexa, I feel for you!’ Observers’ Empathetic Reactions towards a Conversational Agent

Carolus

Wienrich²,

Törke

et al. 2021

Front. Comput. Sci.

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Conversational agents and smart speakers have grown in popularity offering a variety of options for use, which are available through intuitive speech operation. In contrast to the standard dyad of a single user and a device, voice-controlled operations can be observed by further attendees resulting in new, more social usage scenarios. Referring to the concept of ‘media equation’ and to research on the idea of ‘computers as social actors,’ which describes the potential of technology to trigger emotional reactions in users, this paper asks for the capacity of smart speakers to elicit empathy in observers of interactions. In a 2 × 2 online experiment, 140 participants watched a video of a man talking to an Amazon Echo either rudely or neutrally (factor 1), addressing it as ‘Alexa’ or ‘Computer’ (factor 2). Controlling for participants’ trait empathy, the rude treatment results in participants’ significantly higher ratings of empathy with the device, compared to the neutral treatment. The form of address had no significant effect. Results were independent of the participants’ gender and usage experience indicating a rather universal effect, which confirms the basic idea of the media equation. Implications for users, developers and researchers were discussed in the light of (future) omnipresent voice-based technology interaction scenarios.

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Pink Stinks - at Least for Men

Cited by 8 publications

References 32 publications

The impact of mixed-cultural speech on the stereotypical perception of a virtual robot

The impact of mixed-cultural speech on the stereotypical perception of a virtual robot

“Imagine this smart speaker to have a body”: An analysis of the external appearances and the characteristics that people associate with voice assistants

‘Alexa, I feel for you!’ Observers’ Empathetic Reactions towards a Conversational Agent

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