Towards episodic memory-based long-term affective interaction with a human-like robot

Kasap, Zerrin; Magnenat‐Thalmann, Nadia

doi:10.1109/roman.2010.5598644

Cited by 31 publications

(28 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In our case, this occurs by spontaneously retrieving emotionally salient events with a specific user and calculating the relationship level with that user as soon as he/she is recognized. The relationship level is calculated by taking into account the cumulative effect of past emotional exchanges with respect to their recall probability and adding this effect to the mood of the robot as explained in more detail in our previous work [11]. Deliberate retrieval can be done to achieve a task, e.g.…”

Section: Retrievalmentioning

confidence: 99%

Building long-term relationships with virtual and robotic characters: the role of remembering

Kasap

Magnenat‐Thalmann

2011

Vis Comput

Self Cite

View full text Add to dashboard Cite

With the recent advances, today people are able to communicate with embodied (virtual/robotic) entities using natural ways of communication. In order to use them in our daily lives, they need to be intelligent enough to make long-term relationships with us and this is highly challenging. Previous work on long-term interaction frequently reported that after the novelty effect disappeared, users' interest into the interaction decreased with time. Our primary goal in this study was to develop a system that can still keep the attention of the users after the first interaction.Incorporating the notion of time, we think that the key to long-term interaction is the recall of past memories during current conversation. For this purpose, we developed a longterm interaction framework with remembering and dialogue planning capability. In order to see the effect of remembering on users, we designed a tutoring application and measured the changes in social presence and task engagement levels according to the existence of memory. Different from previous work, users' interest in our system did not decrease with time with the important contributions of remembering to the engagement level of users.

show abstract

Section: Retrievalmentioning

confidence: 99%

Building long-term relationships with virtual and robotic characters: the role of remembering

Kasap

Magnenat‐Thalmann

2011

Vis Comput

Self Cite

View full text Add to dashboard Cite

show abstract

“…[6,7]) or social robots (e.g. [1,3]). These were either Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.…”

Section: Introductionmentioning

confidence: 99%

“…[2,3,7]) that either pre-define the type of information to be stored in each episode (cf. [3,7]) or define episodes as a sequence of events that occurred during the execution of a task (cf. [1,3]).…”

Section: Introductionmentioning

confidence: 99%

“…[3,7]) or define episodes as a sequence of events that occurred during the execution of a task (cf. [1,3]). However, due to the complexity and highly dynamic nature of social interactions, it is not possible to predict which internal or external events will occur during an interaction, and when they will occur.…”

Section: Introductionmentioning

confidence: 99%

“…However, due to the complexity and highly dynamic nature of social interactions, it is not possible to predict which internal or external events will occur during an interaction, and when they will occur. Therefore, pre-defined templates for episodes [3,7] cannot cover all the variances involved in an interaction and its context. Moreover, an interaction could be influenced by events that occurred before the start of the interaction, and an interaction itself could become the cause of future events, whose temporal distances to the current time instant are difficult to predict.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards an Interaction-Centered and Dynamically Constructed Episodic Memory for Social Robots

Hassan

Kopp

2020

Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

View full text Add to dashboard Cite

This paper outlines an interaction-centered and dynamically constructed episodic memory for social robots, in order to enable naturalistic, social human-robot interaction. The proposed model includes a record of multi-timescale events stored in the event history, a record of multi-timescale interval definitions stored as interaction episodes, and a set of links associating specific elements of the two records. The event history is constructed dynamically, depending on the occurrence of internal and external events. The interaction episodes are defined on the basis of robot-initiated and user-initiated interactions. The episodic memory is realised within a social human-robot interaction architecture, whose components generate events pertaining to the context and state of interaction.

show abstract

Socially Assistive Robotics for Gait Rehabilitation

Múnera

Aycardi

Céspedes

et al. 2021

Interfacing Humans and Robots for Gait Assistance and Rehabilitation

View full text Add to dashboard Cite

Towards episodic memory-based long-term affective interaction with a human-like robot

Cited by 31 publications

References 15 publications

Building long-term relationships with virtual and robotic characters: the role of remembering

Building long-term relationships with virtual and robotic characters: the role of remembering

Towards an Interaction-Centered and Dynamically Constructed Episodic Memory for Social Robots

Socially Assistive Robotics for Gait Rehabilitation

Contact Info

Product

Resources

About