Individualized Agent Interactions

Damian, Ionuț; Endraß, Birgit; Huber, Peter J.; Bee, Nikolaus; André, Elisabeth

doi:10.1007/978-3-642-25090-3_2

Cited by 18 publications

(19 citation statements)

References 20 publications

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“…For each condition, a video showing a dialogue between a human and a virtual agent was recorded 1,2,3,4 . In the videos, a caregiver, called Louisa, interacts with the dialogue system by a virtual avatar called Christian.…”

Section: Methodsmentioning

confidence: 99%

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Exploring the Applicability of Elaborateness and Indirectness in Dialogue Management

Pragst

Minker

Ultes

2018

Lecture Notes in Electrical Engineering

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In this paper, we investigate the applicability of soft changes to the system behaviour, namely changing the amount of elaborateness and indirectness displayed. To this end, we examine the impact of elaborateness and indirectness on the perception of human-computer communication in a user study. Here, we show that elaborateness and indirectness influence the user's impression of a dialogue and discuss the implications of our results for adaptive dialogue management. We conclude that elaborateness and indirectness offer valuable possibilities for adaptation and should be incorporated in adaptive dialogue management.

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Section: Methodsmentioning

confidence: 99%

“…To this end, we present a user study that answers the following questions: does the perception of (a) The virtual avatar [4] that was used in our user study. a dialogue change with different EI-levels and is the effect of the EI-level dependant on the current situation of the user.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Applicability of Elaborateness and Indirectness in Dialogue Management

Pragst

Minker

Ultes

2018

Lecture Notes in Electrical Engineering

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“…The virtual agent is implemented using the Advanced Agent Animation framework [4] and it is capable of executing both verbal and non-verbal behaviors.…”

Section: Prototype Applicationmentioning

confidence: 99%

“…One key issue in this context is the credibility of the virtual agents as real persons. Researchers have investigated various solutions to this issue including high fidelity graphics [11,8], human-like behaviors [4] and natural interaction between the agent and the user. However, whereas this issue has been thoroughly studied in the field of Virtual Reality (VR), virtual agents are rather new to AR environments [2,6].…”

Section: Introductionmentioning

confidence: 99%

Motion capturing empowered interaction with a virtual agent in an Augmented Reality environment

Damian

Bühling²,

Kistler³

et al. 2013

2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

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We present an Augmented Reality (AR) system where we immerse the user's whole body in the virtual scene using a motion capturing (MoCap) suit. The goal is to allow for seamless interaction with the virtual content within the AR environment. We describe an evaluation study of a prototype application featuring an interactive scenario with a virtual agent. The scenario contains two conditions: in one, the agent has access to the full tracking data of the MoCap suit and therefore is aware of the exact actions of the user, while in the second condition, the agent does not get this information. We then report and discuss the differences we were able to detect regarding the users' perception of the interaction with the agent and give future research directions.

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“…Increasingly sophisticated virtual agents are now sometimes designed to mimic these cues in order to induce human observers to make similar attributions about the agent with whom they are interacting. The generation of consistent, human-like patterns of expression based on prescribed personality traits makes interaction with these agents easier for users [5,6] and similarly allows for the beneficial tailoring of agents to specific users or to specific task domains [7][8][9][10][11][12][13][14]. Furthermore, there is evidence that suggests that these cues are most effective when cues are congruent, rather than conflicting [12,15] .…”

Section: Introductionmentioning

confidence: 99%

Two Techniques for Assessing Virtual Agent Personality

Liu¹,

Tolins²,

Tree³

et al. 2016

IEEE Trans. Affective Comput.

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Abstract-Personality can be assessed with standardized inventory questions with scaled responses such as "How extraverted is this character?" or with open-ended questions assessing first impressions, such as "What personality does this character convey?" Little is known about how the two methods compare to each other, and even less is known about their use in the personality assessment of virtual agents. We tested what personality virtual agents conveyed through gesture alone when the agents were programmed to display introversion versus extraversion (Experiment 1) and high versus low emotional stability (Experiment 2). In Experiment 1, both measures indicated participants perceived the extraverted agent as extraverted, but the open-question technique highlighted the perception of both agents as highly agreeable whereas the inventory indicated that the extraverted agents were also perceived as more open to new experiences. In Experiment 2, participants perceived agents expressing high versus low emotional stability differently depending on assessment style. With inventory questions, the agents differed on both emotional stability and agreeableness. With the open-ended question, participants perceived the high stability agent as extraverted and the low stability agent as disagreeable. Inventory and open-ended questions provide different information about what personality virtual agents convey and both may be useful in agent development.

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Individualized Agent Interactions

Cited by 18 publications

References 20 publications

Exploring the Applicability of Elaborateness and Indirectness in Dialogue Management

Exploring the Applicability of Elaborateness and Indirectness in Dialogue Management

Motion capturing empowered interaction with a virtual agent in an Augmented Reality environment

Two Techniques for Assessing Virtual Agent Personality

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