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Sibylle Enz

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

4 papers
1 author row

Possible papers

4

AAMAS Conference 2012 Conference Paper

Can I trust you? Sharing information with artificial companions

  • Matthias Keysermann
  • RUTH AYLETT
  • Sibylle Enz
  • Henriette Cramer
  • Carsten Zoll
  • Patricia Vargas

This paper discusses an experiment to investigate issues of trust and confidentiality when sharing information with a robot companion in an office context. An online questionnaire was used to collect opinions about information sharing with a robot companion and preferences for collection and treatment of information. In a subsequent live interaction study, subjects role-played new members of an office team exchanging potentially sensitive information with the robot companion. Evaluated results and their implications are summarised and we suggest generic improvements for HRI systems used for information exchange.

AAMAS Conference 2011 Conference Paper

Forgetting Through Generalisation - A Companion with Selective Memory

  • Mei Yii Lim
  • RUTH AYLETT
  • Patricia A. Vargas
  • Sibylle Enz
  • Wan Ching Ho

This research investigates event generalisation in computational episodic memory for artificial companions. Two studies indicated a preference of a biologically-inspired selective memory over an absolute memory companion. Consequently, we present a preliminary implementation of a forgetting mechanism that enables the companion to create "generalised event representations" from its experiences allowing the companion to learn from past encounters.

AAMAS Conference 2009 Conference Paper

But That Was in Another Country: Agents and Intercultural Empathy

  • RUTH AYLETT
  • Natalie Vannini
  • Elisabeth Andre
  • Ana Paiva
  • Sibylle Enz
  • Lynne Hall

This paper discusses the development of a believable agent-based educational application designed to develop inter-cultural empathy for 13-14 year old students. It considers relevant work in cultural taxonomy and adaptation to other cultures as well as work showing that users are sensitive to the perceived culture of believable interactive characters. It discusses how an existing affective agent architecture was developed to model culturallyspecific agent behaviour. Finally, it considers the role of interaction modalities in supporting an empathic engagement with culturally-specific characters.

AAMAS Conference 2009 Conference Paper

Using Rituals to Express Cultural Differences in Synthetic Characters

  • Samuel Mascarenhas
  • João Dias
  • Nuno Afonso
  • Sibylle Enz
  • Ana Paiva

There is currently an ongoing demand for richer Intelligent Virtual Environments (IVEs) populated with social intelligent agents. As a result, many agent architectures are taking into account a plenitude of social factors to drive their agents’ behaviour. However, cultural aspects have been largely neglected so far, even though they are a crucial aspect of human societies. This is largely due to the fact that culture is a very complex term that has no consensual definition among scholars. However, there are studies that point out some common and relevant components that distinguish cultures such as rituals and values. In this article, we focused on the use of rituals in synthetic characters to generate cultural specific behaviour. To this end, we defined the concept of ritual and integrated it into an existing agent architecture for synthetic characters. A ritual is seen as a symbolic social activity that is carried out in a predetermined fashion. This concept is modelled in the architecture as a special type of goal with a pre-defined plan. Using the architecture described, and in order to assess if it is possible to express different cultural behaviour in synthetic characters, we created two groups of agents that only differed in their rituals. An experiment was then conducted using these two scenarios in order to evaluate if users could identify different cultural behaviour in the two groups of characters. The results show that users do indeed identify the differences in the two cultures and most importantly that they ascribe the differences to cultural factors.

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