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Character Development to Facilitate Retention in a Storytelling Robot

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Amber SylvainAuthors Info & Claims

ACMSE '20: Proceedings of the 2020 ACM Southeast Conference

Pages 276 - 279

https://doi.org/10.1145/3374135.3385315

Published: 25 May 2020 Publication History

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Abstract

The purpose of this research is to further the innovation of education technology and education based on technological theory mediated through robotic storytelling agents. Through the development of robotic applications, the researchers create a tool to improve the story and literacy-based retention rates of elementary level students. This investigation seeks to analyze the effects of student retention while participating in story-time with a SoftBank NAO robot that delivers the narrative of multiple characterizations through pre-programmed voice variability, LED lights, and motions. It is the ultimate goal of this research to study the impact of agent character distinctions in storytelling as compared to human storytellers.

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Cited By

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Kim BHong JLee W(2022)Poly: Shape-changing Conversational Agent Helps Identify Multiple Characters in StorytellingProceedings of the Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3490149.3505573(1-7)Online publication date: 13-Feb-2022
https://dl.acm.org/doi/10.1145/3490149.3505573
Bravo FHurtado JGonzález E(2021)Using Robots with Storytelling and Drama Activities in Science EducationEducation Sciences10.3390/educsci1107032911:7(329)Online publication date: 2-Jul-2021
https://doi.org/10.3390/educsci11070329

Index Terms

Character Development to Facilitate Retention in a Storytelling Robot
1. Applied computing
  1. Education
    1. Computer-assisted instruction
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction techniques

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Published In

ACMSE '20: Proceedings of the 2020 ACM Southeast Conference

April 2020

337 pages

ISBN:9781450371056

DOI:10.1145/3374135

Conference Chair:
Morris Chang,
Program Chair:
Dan Lo,
Publications Chair:
Eric Gamess

Permission to make digital or hard copies of all or part 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. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 May 2020

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ACM SE '20

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ACM SE '20: 2020 ACM Southeast Conference

April 2 - 4, 2020

FL, Tampa, USA

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Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Kim BHong JLee W(2022)Poly: Shape-changing Conversational Agent Helps Identify Multiple Characters in StorytellingProceedings of the Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3490149.3505573(1-7)Online publication date: 13-Feb-2022
https://dl.acm.org/doi/10.1145/3490149.3505573
Bravo FHurtado JGonzález E(2021)Using Robots with Storytelling and Drama Activities in Science EducationEducation Sciences10.3390/educsci1107032911:7(329)Online publication date: 2-Jul-2021
https://doi.org/10.3390/educsci11070329

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Personalized Storytelling with Social Robot Haru

Pepper as a Storyteller: Exploring the Effect of Human vs. Robot Voice on Children’s Emotional Experience