Papers by Matthias Kraus
Effects of Gender Stereotypes on Trust and Likability in Spoken Human-Robot Interaction (L18-1)
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| Challenge: | a study investigates the influence of gender stereotypes on trust and likability of humanoid robots . explicit gender and stereotypicality of a task are manipulated to influence robot behavior . future research may look into situational variables that drive stereotypification in robot interaction . |
| Approach: | They investigated the influence of gender stereotypes on trust and likability of robots . they used explicit (name and voice) and implicit (personality) genders to manipulate stereotypical tasks . future research may look into situational variables that drive stereotypization . |
| Outcome: | The findings suggest that gender stereotypes need to be differentiated in robot interaction . the gender and personality characteristics of robots influence trust and likability . |
ProDial – An Annotated Proactive Dialogue Act Corpus for Conversational Assistants using Crowdsourcing (2022.lrec-1)
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| Challenge: | Especially in the household domain, robots may become indispensable helpers by overtaking tedious tasks, e.g. keeping the place tidy. |
| Approach: | They propose a conversational approach for explicitly collecting personal user information using natural dialogue. |
| Outcome: | The proposed approach is compared to a baseline dialogue strategy for interactive personalization and has shown that it is friendlier. |
A Comparison of Explicit and Implicit Proactive Dialogue Strategies for Conversational Recommendation (2020.lrec-1)
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| Challenge: | Existing literature on traditional and conversational recommendation systems, but how to provide suggestions is still an open question. |
| Approach: | They propose to use explicit and implicit strategies to compare user preferences and a proactive strategy to provide information from a gathered system to determine user acceptance. |
| Outcome: | The proposed strategies significantly influence the perception of human-computer interaction. |