IMPACTS: a trust model for human-autonomy teaming

Сохранить в:
Библиографические подробности
Опубликовано в::Human-Intelligent Systems Integration vol. 3, no. 2 (Jun 2021), p. 79
Главный автор: Hou, Ming
Другие авторы: Ho, Geoffrey, Dunwoody, David
Опубликовано:
Springer Nature B.V.
Предметы:
Online-ссылка:Citation/Abstract
Full Text
Full Text - PDF
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

MARC

LEADER 00000nab a2200000uu 4500
001 2932826012
003 UK-CbPIL
022 |a 2524-4876 
022 |a 2524-4884 
024 7 |a 10.1007/s42454-020-00023-x  |2 doi 
035 |a 2932826012 
045 2 |b d20210601  |b d20210630 
100 1 |a Hou, Ming  |u Defence Research & Development Canada, Toronto, Canada (GRID:grid.1463.0) (ISNI:0000 0001 0692 6582) 
245 1 |a IMPACTS: a trust model for human-autonomy teaming 
260 |b Springer Nature B.V.  |c Jun 2021 
513 |a Journal Article 
520 3 |a A trust model IMPACTS (intention, measurability, performance, adaptivity, communication, transparency, and security) has been conceptualized to build human trust in autonomous systems. A system must exhibit the seven critical characteristics to gain and maintain its human partner’s trust towards an effective and collaborative team in achieving common goals. The IMPACTS model guided a design of an intelligent adaptive decision aid for dynamic target engagement processes in a human-autonomy interaction context. Positive feedback from subject matter experts who participated in a large-scale exercise controlling multiple unmanned assets indicated the decision aid’s effectiveness. It also demonstrated the IMPACTS model’s utility as a design principle for enabling trust between a human-autonomy team. 
610 4 |a Verplank Defense Science Board 
653 |a Robots 
653 |a Autonomy 
653 |a Artificial intelligence 
653 |a Automation 
653 |a Workloads 
653 |a Positive feedback 
653 |a Cognition & reasoning 
653 |a Decision making 
700 1 |a Ho, Geoffrey  |u Defence Research & Development Canada, Toronto, Canada (GRID:grid.1463.0) (ISNI:0000 0001 0692 6582) 
700 1 |a Dunwoody, David  |u Royal Canadian Air Force, Ottawa, Canada (GRID:grid.1463.0) 
773 0 |t Human-Intelligent Systems Integration  |g vol. 3, no. 2 (Jun 2021), p. 79 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2932826012/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/2932826012/fulltext/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2932826012/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch