Doctoral Consortium and Playable Experiences Track at the 2019 AIIDE Conference

2019 AIIDE 大会上的博士联盟和可玩体验赛道

基本信息

  • 批准号:
    1939942
  • 负责人:
  • 金额:
    $ 1.96万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-10-01 至 2020-09-30
  • 项目状态:
    已结题

项目摘要

AAAI's Artificial Intelligence in Interactive Digital Entertainment (AIIDE) is a yearly conference that brings together representatives from both academia and industry to present novel research and discuss interesting problems in the field of human-centered artificial intelligence and interactive media. AIIDE 2019, the 15th conference in the series, will take place October 8-12 at the Georgia Institute of Technology in Atlanta, GA. This is funding to provide scholarships to support participant travel for two tracks at the conference that both have the goal of strengthening and diversifying this growing research community: (1) the AIIDE doctoral mentoring program, and (2) the AIIDE playable experiences track. The organizers expect to have about 8 students participating in the doctoral mentoring program, and 4 playable experiences showcased in the playable experiences track. Artificial intelligence in digital entertainment is an inherently interdisciplinary research area, including artificial intelligence, human-computer interaction, psychology, digital media, and modeling/simulation, as well as humanities and the arts. AIIDE serves an important role as an interface between AI and society, through its focus on digital entertainment and related applications. The conference investigates not just how to make intelligent machines, but how to produce transformative technology that impacts engineers, designers, and authors on potentially large-scale projects with broad cultural visibility. The conference also endeavors to grow relationships between academic research and industrial practice. The theme of this year's conference is "Human-Centered Evaluation." More information about the conference is available online at https://web.cs.wpi.edu/~gmsmith/aiide2019/. The AIIDE doctoral mentoring program and playable experiences tracks are crucial to the health and growth of the AIIDE community. Supporting participants to attend enriches the conference experience for all attendees, not just those who receive travel scholarships. By providing underrepresented students with mentoring opportunities early in their career, the doctoral mentoring program will serve to broaden the diversity of the whole AIIDE community (and the other communities it interacts with). The playable experiences track also offers an opportunity to broaden participation in AIIDE. By offering travel support to independent scholars, practitioners, and artists in communities that have greater diversity than core computer science/AI, it is possible to promote diversity by easing financial barriers to full participation in the community. The organizers are committed to improving diversity; to these ends, they will specifically be doing outreach to underrepresented groups, and they will also be limiting the number of accepted students to at most two per institution,The AIIDE doctoral mentoring program will invite early-stage (ideally just before thesis proposal) students to receive feedback on their proposed research program. The purpose of the program is to foster connections between student peers at different institutions, establish faculty mentoring relationships that can lead to participation on committees (including thesis proposal committees), and provide other contacts that can help guide students early enough to have a large impact on the trajectory of their research. The mentoring program begins with lunch on the first day, asking mentors and mentees to get to know each other before their presentations and give the mentees the opportunity to deepen their professional network during the conference. During the doctoral consortium, students will each give brief presentations of their proposed thesis topic followed by conversation and questions with the mentors and conference attendees. These presentations will serve as encouragement for interested attendees and mentors to provide one-on-one feedback at the poster session. The committee will select students who are early in their career so that mentors have an opportunity to help shape the future of their research and so students may begin to build their professional network. Mentors for the doctoral consortium will be invited based on the research areas of the accepted students and will be selected from senior faculty and respected industry leaders in the field. To facilitate external feedback, mentors will be selected from outside the student's thesis committee and institution. After students are accepted to the cohort, DC co-chairs will ask them to provide more information about their professional goals in order to best match them with academic and/or industry mentors. During the doctoral consortium, all mentors will be invited to the presentations and poster session to encourage discussion across research areas.The AIIDE playable experiences track aims to integrate research and practice through showcasing innovative, AI-based games and interactive media. This track aims to bring independent game developers, students, industry practitioners, and researchers together. The track fosters discussion of applications of the AI research shown in the main conference towards designing new kinds of playable experiences, and encourages interdisciplinary collaboration between conference attendees and the broader interactive digital entertainment community; it consists of published short papers about the work, a panel with representation from each playable experience to discuss the role of AI in design, and a conference session where attendees are able to play the games and discuss the work one-on-one with participants. The playable experiences track is especially valuable to students in the doctoral mentoring program who are interested in pursuing careers in industry, since designers and technologists who attend the playable experiences track can be excellent mentors. For all students, especially in the early stages of their research, it is useful to see high-quality examples of how their research might be used in polished, complete games. To ensure the health of this track, it is important that independent developers, artists, and practitioners outside of the traditional academic AI research community have the financial means to attend and show their work; often, those who are most qualified to submit work to the playable experiences track do not come from traditional computer science backgrounds, or do not have access to travel funds of their own.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
AAAI的互动数字娱乐中的人工智能(AIIDE)是一年一度的会议,汇集了学术界和工业界的代表,展示以人为本的人工智能和互动媒体领域的新研究并讨论有趣的问题。AIIDE 2019是该系列的第15次会议,将于10月8日至12日在乔治亚州亚特兰大的佐治亚理工学院举行。这是一笔提供奖学金的资金,用于支持参加会议的两个项目的参与者的旅行,这两个项目的目标都是加强和多样化这个不断增长的研究社区:(1)AIIDE博士指导项目,(2)AIIDE可玩体验项目。主办方预计将有大约8名学生参与博士指导计划,并在可玩体验专区展示4种可玩体验。数字娱乐中的人工智能本质上是一个跨学科的研究领域,包括人工智能、人机交互、心理学、数字媒体、建模/仿真以及人文和艺术。AIIDE通过专注于数字娱乐和相关应用,在人工智能与社会之间发挥着重要的接口作用。会议不仅研究如何制造智能机器,还研究如何在具有广泛文化知名度的潜在大型项目中产生影响工程师、设计师和作者的变革性技术。会议还努力发展学术研究和工业实践之间的关系。今年会议的主题是“以人为本的评估”。有关会议的更多信息,请访问https://web.cs.wpi.edu/~gmsmith/aiide2019/。AIIDE博士指导计划和可玩体验轨道对AIIDE社区的健康和成长至关重要。支持与会者参加会议丰富了所有与会者的经验,而不仅仅是那些获得旅行奖学金的人。通过在职业生涯早期为未被充分代表的学生提供指导机会,博士指导计划将有助于扩大整个AIIDE社区(以及与之互动的其他社区)的多样性。可玩体验课程也为扩大AIIDE的参与提供了机会。通过向比核心计算机科学/人工智能更多样化的社区中的独立学者、从业者和艺术家提供旅行支持,可以通过减轻全面参与社区的经济障碍来促进多样性。组织者致力于提高多样性;为此,他们将特别向代表性不足的群体伸出援助之手,而且他们还将把接受的学生人数限制在每个机构最多两名。AIIDE博士指导计划将邀请处于早期阶段(理想情况下是在论文提出之前)的学生接受有关其拟议研究计划的反馈。该计划的目的是促进不同机构的学生之间的联系,建立教师指导关系,从而参与委员会(包括论文提案委员会),并提供其他联系,帮助学生尽早指导,从而对他们的研究轨迹产生重大影响。辅导计划从第一天的午餐开始,要求导师和学员在演讲前相互了解,并让学员有机会在会议期间加深他们的专业网络。在博士联会期间,每位学生将简要介绍他们提出的论文主题,然后与导师和会议与会者进行对话和提问。这些演讲将鼓励感兴趣的与会者和导师在海报环节提供一对一的反馈。委员会将挑选处于职业生涯早期的学生,这样导师就有机会帮助他们塑造未来的研究方向,这样学生就可以开始建立自己的专业网络。博士联盟的导师将根据被录取学生的研究领域被邀请,并将从该领域的资深教师和受人尊敬的行业领导者中选择。为了方便外部反馈,导师将从学生论文委员会和机构之外选择。在学生被录取后,DC联合主席将要求他们提供更多关于他们的职业目标的信息,以便最好地将他们与学术和/或行业导师相匹配。在博士联盟期间,所有导师将被邀请参加演讲和海报会议,以鼓励跨研究领域的讨论。AIIDE可玩体验专题旨在通过展示创新的、基于人工智能的游戏和互动媒体,将研究与实践结合起来。该课程旨在将独立游戏开发者、学生、行业从业者和研究人员聚集在一起。该专题讨论了在主要会议上展示的AI研究的应用,以设计新的可玩体验,并鼓励与会者与更广泛的互动数字娱乐社区之间的跨学科合作;它包含了关于工作的简短论文,代表每个可玩体验的小组讨论AI在设计中的作用,以及与会者能够玩游戏并与参与者一对一讨论工作的会议。可玩体验课程对那些有兴趣在行业中谋求职业的博士导师项目的学生尤其有价值,因为参加可玩体验课程的设计师和技术人员可能是优秀的导师。对于所有学生来说,特别是在他们研究的早期阶段,看到如何将他们的研究用于完善的完整游戏的高质量例子是很有用的。为了确保这条赛道的健康发展,传统学术AI研究社区之外的独立开发者、艺术家和从业者有足够的资金来参加并展示他们的作品是很重要的;通常,那些最有资格将作品提交到可玩体验轨道的人并不是来自传统的计算机科学背景,或者没有自己的旅行资金。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Gillian Smith其他文献

Stackable Music: A Marker-Based Augmented Reality Music Synthesis Game
Stackable Music:基于标记的增强现实音乐合成游戏
Integrating Automated Play in Level Co-Creation
将自动化游戏集成到关卡共同创建中
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Andrew D. Hoyt;Matthew J. Guzdial;Yalini Kumar;Gillian Smith;Mark O. Riedl
  • 通讯作者:
    Mark O. Riedl
Feminism and procedural content generation: toward a collaborative politics of computational creativity
女权主义和程序内容生成:迈向计算创造力的协作政治
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    1.1
  • 作者:
    Amanda Phillips;Gillian Smith;Michael Cook;Tanya X. Short
  • 通讯作者:
    Tanya X. Short
Activating K-Ras mutations outwith "hotspot" codons in sporadic colorectal tumours: implications for personalised cancer medicine
在散发性结直肠肿瘤中用“热点”密码子激活 K-Ras 突变:对个性化癌症医学的影响
  • DOI:
    10.1002/path.2770
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Gillian Smith;R. Bounds;Helga Wolf;N. Pratt;F. Carey;R. Steele;C. Wolf
  • 通讯作者:
    C. Wolf
Formalizing Non-Formalism: Breaking the Rules of Automated Game Design
形式化非形式主义:打破自动化游戏设计的规则

Gillian Smith的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Gillian Smith', 18)}}的其他基金

Collaborative Research: Fostering Public Engagement in Computational Thinking by Leveraging Quilting Communities and Practices
合作研究:利用绗缝社区和实践促进公众参与计算思维
  • 批准号:
    1811130
  • 财政年份:
    2018
  • 资助金额:
    $ 1.96万
  • 项目类别:
    Standard Grant

相似海外基金

Challenging Health Outcomes/Integrating Care Environments Ph3: A Community Consortium to Tackle Health Disparity for People Living with Mental Illness
挑战健康成果/整合护理环境第三阶段:解决精神疾病患者健康差距的社区联盟
  • 批准号:
    AH/Z505420/1
  • 财政年份:
    2024
  • 资助金额:
    $ 1.96万
  • 项目类别:
    Research Grant
Washington Community and Technical College Consortium for Undergraduate Research and Equity
华盛顿社区和技术学院本科生研究和公平联盟
  • 批准号:
    2336652
  • 财政年份:
    2024
  • 资助金额:
    $ 1.96万
  • 项目类别:
    Continuing Grant
Conference: Doctoral Consortium for the 2024 Learning Analytics & Knowledge Conference
会议:2024 年学习分析博士联盟
  • 批准号:
    2400421
  • 财政年份:
    2024
  • 资助金额:
    $ 1.96万
  • 项目类别:
    Standard Grant
Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)
合作研究:CHIPS:TCUP 网络联盟推进计算机科学教育 (TCACSE)
  • 批准号:
    2414607
  • 财政年份:
    2024
  • 资助金额:
    $ 1.96万
  • 项目类别:
    Standard Grant
Conference: Doctoral Consortium at Student Research Workshop at the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
会议:计算语言学协会 (NAACL) 北美分会年会学生研究研讨会上的博士联盟
  • 批准号:
    2415059
  • 财政年份:
    2024
  • 资助金额:
    $ 1.96万
  • 项目类别:
    Standard Grant
Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)
合作研究:CHIPS:TCUP 网络联盟推进计算机科学教育 (TCACSE)
  • 批准号:
    2414606
  • 财政年份:
    2024
  • 资助金额:
    $ 1.96万
  • 项目类别:
    Standard Grant
The Blue Zone Consortium
蓝色地带联盟
  • 批准号:
    BB/Z515048/1
  • 财政年份:
    2024
  • 资助金额:
    $ 1.96万
  • 项目类别:
    Research Grant
Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)
合作研究:CHIPS:TCUP 网络联盟推进计算机科学教育 (TCACSE)
  • 批准号:
    2414608
  • 财政年份:
    2024
  • 资助金额:
    $ 1.96万
  • 项目类别:
    Standard Grant
Collaborative Research: CHIPS: TCUP Cyber Consortium Advancing Computer Science Education (TCACSE)
合作研究:CHIPS:TCUP 网络联盟推进计算机科学教育 (TCACSE)
  • 批准号:
    2414605
  • 财政年份:
    2024
  • 资助金额:
    $ 1.96万
  • 项目类别:
    Standard Grant
CISE-RV: Computing Community Consortium
CISE-RV:计算社区联盟
  • 批准号:
    2300842
  • 财政年份:
    2024
  • 资助金额:
    $ 1.96万
  • 项目类别:
    Cooperative Agreement
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了