Inclusive HRI II: Equity and Diversity in Design, Application, Methods, and Community

被引:6
作者
Tanevska, Ana [1 ]
Chandra, Shruti [2 ]
Barbareschi, Giulia [3 ]
Eguchi, Amy [4 ]
Han, Zhao [5 ]
Korpan, Raj [6 ]
Ostrowski, Anastasia K. [7 ]
Perugia, Giulia [8 ]
Ravindranath, Sindhu [9 ]
Seaborn, Katie [10 ]
Winkle, Katie [1 ]
机构
[1] Uppsala Univ, Uppsala, Sweden
[2] Univ Waterloo, Waterloo, ON, Canada
[3] Keio Univ, Yokohama, Japan
[4] Univ Calif San Diego, La Jolla, CA USA
[5] Colorado Sch Mines, Golden, CO USA
[6] Iona Coll, New Rochelle, NY USA
[7] MIT, Cambridge, MA USA
[8] Eindhoven Univ Technol, Eindhoven, Netherlands
[9] IFHE Univ, Hyderabad, India
[10] Tokyo Inst Technol, Tokyo, Japan
来源
COMPANION OF THE ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI 2023 | 2023年
关键词
Diversity; Inclusion; Equity; HRI; Accessibility; Sampling bias;
D O I
10.1145/3568294.3579965
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Diversity, equality, and inclusion (DEI) are critical factors that need to be considered when developing AI and robotic technologies for people. The lack of such considerations exacerbates and can also perpetuate existing forms of discrimination and biases in society for years to come. Although concerns have already been voiced around the globe, there is an urgent need to take action within the human-robot interaction (HRI) community. This workshop contributes to filling the gap by providing a platform in which to share experiences and research insights on identifying, addressing, and integrating DEI considerations in HRI. With respect to last year, this year the workshop will further engage participants on the problem of sampling biases through hands-on co-design activities for mitigating inequity and exclusion within the field of HRI.
引用
收藏
页码:956 / 958
页数:3
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