A Framework to Study and Design Communication with Social Robots

Kunold, Laura; Onnasch, Linda

doi:10.3390/robotics11060129

Cited by 5 publications

(3 citation statements)

References 77 publications

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“…We also evaluated how a data-driven and model-driven approach could be used to develop various components of EE, utilizing interaction data. Results showed success as well as areas of improvement for different components [45].…”

Section: Discussionmentioning

confidence: 95%

Prediction of Emotional Empathy in Intelligent Agents to Facilitate Precise Social Interaction

et al. 2023

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The research area falls under the umbrella of affective computing and seeks to introduce intelligent agents by simulating emotions artificially and encouraging empathetic behavior in them, to foster emotional empathy in intelligent agents with the overarching objective of improving their autonomy. Raising the emotional empathy of intelligent agents to boost their autonomic behavior can increase their independence and adaptability in a socially dynamic context. As emotional intelligence is a subset of social intelligence, it is essential for successful social interaction and relationships. The purpose of this research is to develop an embedded method for analyzing empathic behavior in a socially dynamic situation. A model is proposed for inducing emotional intelligence through a deep learning technique, employing multimodal emotional cues, and triggering appropriate empathetic responses as output. There are 18 categories of emotional behavior, and each one is strongly influenced by multimodal cues such as voice, facial, and other sensory inputs. Due to the changing social context, it is difficult to classify emotional behavior and make predictions based on modest changes in multimodal cues. Robust approaches must be used to be sensitive to these minor changes. Because a one-dimensional convolutional neural network takes advantage of feature localization to minimize the parameters, it is more efficient in this exploration. The study’s findings indicate that the proposed method outperforms other popular ML approaches with a maximum accuracy level of 98.98 percent when compared to currently used methods.

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Section: Discussionmentioning

confidence: 95%

Prediction of Emotional Empathy in Intelligent Agents to Facilitate Precise Social Interaction

et al. 2023

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“…New media not only have rich text, images and videos, but also offer interactivity, social contact, augmented/virtual reality and other features, and the communication content is also richer and more diversified. In Lasswell's ''5W'' model, the connection through the Internet information channel greatly improves the depth and breadth of the communication effect, no matter who says it or to whom (Kunold & Onnasch, 2022). This new feature of Internet channels provides consumers with a convenient platform to obtain, screen, and feedback information, share experiences, and create tourism demand.…”

Section: Action Mechanismsmentioning

confidence: 99%

How Do Information Sources Influence the Purchases of Tourism, Culture, and Entertainment? An Analysis of China Family Panel Studies Data

Chen,

Mao,

Morrison

2024

Sage Open

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Information sources affect people’s tourism, culture, and entertainment buying. It is therefore important to study the apportionment effects by information source type and comprehensively analyze how information sources positively or negatively impact the consumption of tourism, culture, and entertainment. This research analyzed the influence of four information sources on such buying based on data from the China Family Panel Studies (CFPS) from 2014 to 2018. Regression analysis was used to examine the relationships among variables. The findings were that: (1) information sources (Internet, broadcast, print, and word of mouth) had a significant positive impact on tourism, culture, and entertainment buying; (2) the effects of information were significantly different based on age, education level, and place of residence (urban vs. rural); and (3) information source digitalization increased the share of TCE consumption in overall household consumption through improving social interactions and convenience of transactions. The findings contribute to alleviating the information asymmetry in tourism consumption, helping tourism enterprises develop targeted marketing measures, and promoting the improvement of residents’ tourism consumption.

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“…Non-experimental studies have been conducted to evaluate social robots, yet a methodology for design is rare. A study by Kunold et al [13] proposed a framework to study and design communication with social robots based on Laswell's 5Ws of mass communication: who says what, in which channel, to whom, and with what effect. The authors extended this model to communication in human-robot interaction.…”

Section: Introductionmentioning

confidence: 99%

Design Path for a Social Robot for Emotional Communication for Children with Autism Spectrum Disorder (ASD)

Cano,

Díaz-Arancibia,

Arango-López

et al. 2023

Sensors

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Children with autism spectrum disorder (ASD) have deficits in social interaction and expressing and understanding emotions. Based on this, robots for children with ASD have been proposed. However, few studies have been conducted about how to design a social robot for children with ASD. Non-experimental studies have been carried out to evaluate social robots; however, the general methodology that should be used to design a social robot is not clear. This study proposes a design path for a social robot for emotional communication for children with ASD following a user-centered design approach. This design path was applied to a case study and evaluated by a group of experts in psychology, human–robot interaction, and human–computer interaction from Chile and Colombia, as well as parents of children with ASD. Our results show that following the proposed design path for a social robot to communicate emotions for children with ASD is favorable.

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A Framework to Study and Design Communication with Social Robots

Cited by 5 publications

References 77 publications

Prediction of Emotional Empathy in Intelligent Agents to Facilitate Precise Social Interaction

Prediction of Emotional Empathy in Intelligent Agents to Facilitate Precise Social Interaction

How Do Information Sources Influence the Purchases of Tourism, Culture, and Entertainment? An Analysis of China Family Panel Studies Data

Design Path for a Social Robot for Emotional Communication for Children with Autism Spectrum Disorder (ASD)

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