Influence of virtual agent politeness behaviors on how users join small conversational groups

Zojaji, Sahba; Peters, Christopher; Pélachaud, Catherine

doi:10.1145/3383652.3423917

Cited by 15 publications

(2 citation statements)

References 18 publications

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“…In a study assuming a chat between a virtual agent and a person, it was reported that while the agent's use of PPS can reduce the impression of machine-ness (have no intention), the overall impression is higher with NPS [11]. In a study of multiparty conversations, in a task in which virtual agents conducting a multiparty conversation invite a user to join the conversation, the probability of the user joining the conversation was significantly increased when the agents used PPS [12]. Although these findings are useful for designing smooth interactions between people and agents, they are not necessarily applicable to other situations, as both studies were conducted for specific situations.…”

Section: Politeness Research On Agentsmentioning

confidence: 99%

Should a Driving Support Agent Provide Explicit Instructions to the User? Video-based Study Focused on Politeness Strategies

Katagami

Tanaka

Kanamori

et al. 2021

Proceedings of the 9th International Conference on Human-Agent Interaction

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Soon, autonomous cars are expected to become widespread, but at present, it is still common for people to drive cars manually. A driving support agent (DSA) is used to support driving using the human-agent interaction approach. In previous research, it was shown that DSAs can be useful in assisting the user through voice utterances. However, previous studies focusing on DSA utterance design have not compared off-record strategies with other politeness strategies that explicitly communicate the speaker's intentions, and it was not clear whether DSA should provide explicit utterances to the user. Therefore, in this study, a video-based subjective evaluation experiment (n=240) was conducted to compare the acceptability of off-record strategies, positive politeness strategies, negative politeness strategies, and direct utterances without politeness strategies. The results of the experiment showed that the negative politeness strategy was evaluated significantly higher than the off-record strategy on evaluation items related to functionality. This result suggests the usefulness of providing explicit instructions with linguistic consideration (politeness) when DSA provides driving assistance to users. In addition to the above findings, there were several correlations between the user's personality characteristics and the subjective evaluation of the DSA. Specifically, there was a significant positive correlation between the level of conscientiousness of the user and the direct utterance evaluation value. For the positive politeness strategy and off-record strategy, there were no significant correlations between evaluation categories of the dislikeability and users' personality characteristics. These results suggest that individual differences in negative impressions due to personality characteristics are small in the positive politeness and off-record strategies.

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Section: Politeness Research On Agentsmentioning

confidence: 99%

Should a Driving Support Agent Provide Explicit Instructions to the User? Video-based Study Focused on Politeness Strategies

Katagami

Tanaka

Kanamori

et al. 2021

Proceedings of the 9th International Conference on Human-Agent Interaction

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“…We selected the rude and gentle vitality forms as being able to communicate and understand the related attitudes is particularly important for creation of successful humanartificial agent interaction. For instance, while previous studies show the important role of politeness in such interactions (see e.g., [6], [7], [8]), modelling politeness is often limited to verbal communication only. Being able by an artificial agent to detect and communicate gentle attitude with nonverbal behavior may be used to reduce social distance, increase affinity and trustfulness.…”

Section: Introductionmentioning

confidence: 99%

Vitality Forms Analysis and Automatic Recognition

Niewiadomski¹,

Suresh²,

Sciutti³

et al. 2021

Preprint

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The form of an action, i.e. the way it is performed, conveys important information about the performer’s attitude. In this paper we investigate spatiotemporal characteristics of different gestures performed with specific vitality forms and we study whether it is possible to recognize these aspects of action automatically. As the first step, we created a new dataset of 7 gestures performed with a vitality form (gentle and rude) or without a vitality form (neutral, slow and fast). Thousand repetitions were collected from 2 professional actors. Next, we identified 22 features from the motion capture data. According to the results, vitality forms are not merely characterized by a velocity/acceleration modulation but by a combination of different spatiotemporal properties. We also perform automatic classification of vitality forms with F-score of 87.3%.

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A Politeness Control Method for Conversational Agents Considering Social Relationships with Users

Katagami

Usami

2021

Advances in Intelligent Systems and Computing

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Influence of virtual agent politeness behaviors on how users join small conversational groups

Cited by 15 publications

References 18 publications

Should a Driving Support Agent Provide Explicit Instructions to the User? Video-based Study Focused on Politeness Strategies

Should a Driving Support Agent Provide Explicit Instructions to the User? Video-based Study Focused on Politeness Strategies

Vitality Forms Analysis and Automatic Recognition

A Politeness Control Method for Conversational Agents Considering Social Relationships with Users

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