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Regional Language Robots: A Warm Welcome

Exploring the impact of regional languages on social interactions with robots.

Thomas Sievers, Nele Russwinkel

― 6 min read


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Table of Contents

Social Robots, like Pepper, are becoming common sights in places where they interact with people. These robots are designed to make social interactions feel natural and comfortable. A big part of making this happen is how they communicate. Using a regional language can have a significant impact on how people feel when talking to these robots. In this overview, we will explore how speaking in a regional language, like Low German, affects people's feelings of warmth, Competence, and comfort during interactions with humanoid robots.

What Are Social Robots?

Social robots are robots created to engage with humans. They can talk, move, and respond to people in various ways. These robots are found in a range of environments, such as schools, hospitals, and homes. The aim is to make technology feel friendly and approachable. By being more human-like, these robots can foster connections and improve interactions with people.

Importance of Language

Language is a key part of our identity and how we connect with others. If someone speaks to us in our native language or a familiar dialect, it tends to create a more personal and warm atmosphere. For robots, the ability to communicate in a way that resonates with human users can significantly influence how they are perceived.

The Language Debate

Humanoid robots often speak in standard Languages, like High German. However, this study looks into using regional languages, like Low German, which is spoken in Northern Germany. This raises questions about how people respond differently to a robot speaking in a familiar, regional tongue compared to a more formal standard language.

Low German Versus High German

Low German has a rich cultural heritage and is associated with the northern part of Germany. Many people have memories tied to this language, often recalling their grandparents speaking it. This connection can create a sentimental feeling, making conversations seem warmer and friendlier.

When Pepper speaks in Low German, it might make the interaction feel more personal. In contrast, High German can come off as more formal, which might not create the same emotional connection.

The Survey Setup

In this exploration, a small group of 17 participants had conversations with Pepper. Each participant spoke with the robot in both Low German and High German. This setup allowed researchers to compare how people felt during each interaction, focusing on warmth, competence, and discomfort.

Participants were asked about their familiarity with Low German, which varied widely among them. While some understood it well, others had only limited knowledge. This range in understanding added depth to the findings.

Measuring Interaction

To measure feelings during conversations, researchers used a specially designed scale known as the Robotic Social Attributes Scale (RoSAS). This scale contains items that assess feelings of warmth, competence, and discomfort based on people's responses.

For the warmth factor, participants rated feelings like happiness and compassion. For competence, words like capable and reliable were used. Lastly, discomfort included feelings of awkwardness or strangeness.

Key Findings

The results of the survey were quite revealing. Participants felt a significant increase in warmth when Pepper spoke in Low German. This suggests that the use of a regional language can enhance emotional connections during interactions.

While the perceived competence of the robot didn't change much between the two languages, discomfort was slightly lower in the Low German conversations. This indicates a tendency for people to feel more at ease when the robot communicates in a language that resonates with their cultural background.

Cultural Connection

The bond between language and culture is essential in these contexts. Language is steeped in culture, and speaking in someone’s regional dialect can evoke a sense of belonging. This can lead to a more enjoyable interaction when dealing with robots, as it may remind people of their roots and cultural identity.

What This Means for Robot Design

The findings emphasize the need for robots to be customizable in their language capabilities. If robots can speak in regional dialects, they can connect with users better. This enhances not only social interaction but also acceptance of these robots in various environments.

The Role of Anthropomorphism

Humans naturally anthropomorphize robots, meaning they give them human characteristics. This tendency is strong when robots express themselves in a relatable way. Using familiar language patterns can make robots appear more human-like, leading to better engagement.

The Importance of Appearance

While language is vital, the robot's appearance and mannerisms also play a role. The design of a robot like Pepper is crucial. With a friendly face and approachable body language, it encourages people to interact comfortably.

The Effects of Dialects

Research has shown that dialects can shape how people perceive robots. Speaking in a regional dialect can sometimes lead to better emotional responses. People may respond more positively and feel a stronger connection when the robot mirrors their own way of speaking.

Surprising Outcomes

Interestingly, despite the positive associations with the warmth of Low German, participants did not find that it necessarily improved their view of the robot's competence. This finding challenges some earlier assumptions about language and competence in robots.

Implications for the Future

The future of social robots seems promising, especially with the idea of incorporating regional language features. The ability of robots to relate better to people through language is essential for successful human-robot interaction.

More work needs to be done in developing the technology that allows robots not only to speak in various dialects but also to understand them. This would enable a more natural flow of conversation, thus enhancing user experience.

Expanding the Research

Future studies could examine other factors that contribute to human-robot interactions. For instance, adding gestures and body language that align with regional characteristics could further improve the interaction quality. Research into how robots can adapt their communication style to different cultures could yield some interesting insights.

Conclusion

In summary, the study indicates that using regional language in humanoid robots can significantly influence how people perceive warmth and comfort. While competence perceptions may remain stable, reducing discomfort could lead to greater acceptance of robots in everyday life.

With advancements in technology, we can look forward to robots that speak like us, making them feel more at home in various settings. The journey towards creating more relatable humanoid robots is just starting, and the possibilities are endless. So, let’s keep talking (even to robots) in our own voices—who knows, maybe one day they'll tell us a joke in Low German!

Original Source

Title: Talking Like One of Us: Effects of Using Regional Language in a Humanoid Social Robot

Abstract: Social robots are becoming more and more perceptible in public service settings. For engaging people in a natural environment a smooth social interaction as well as acceptance by the users are important issues for future successful Human-Robot Interaction (HRI). The type of verbal communication has a special significance here. In this paper we investigate the effects of spoken language varieties of a non-standard/regional language compared to standard language. More precisely we compare a human dialog with a humanoid social robot Pepper where the robot on the one hand is answering in High German and on the other hand in Low German, a regional language that is understood and partly still spoken in the northern parts of Germany. The content of what the robot says remains the same in both variants. We are interested in the effects that these two different ways of robot talk have on human interlocutors who are more or less familiar with Low German in terms of perceived warmth, competence and possible discomfort in conversation against a background of cultural identity. To measure these factors we use the Robotic Social Attributes Scale (RoSAS) on 17 participants with an age ranging from 19 to 61. Our results show that significantly higher warmth is perceived in the Low German version of the conversation.

Authors: Thomas Sievers, Nele Russwinkel

Last Update: 2024-12-06 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2412.05024

Source PDF: https://arxiv.org/pdf/2412.05024

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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