Danielle Ishak

Papers

Total Citations

H-Index

About

Danielle Ishak is a researcher at the intersection of human factors engineering and human-robot interaction, with a focused expertise on trust dynamics in collaborative systems. Her most cited work, "Analysis of Elderly Human-Robot Team Trust Models" (2015), provides a foundational macroergonomic evaluation of three key trust frameworks—Transparency, Feedback, and Emotion Theory. By systematically dissecting the strengths and weaknesses of these models, Ishak offered a critical roadmap for designing robots that can earn and maintain the trust of elderly users, a vulnerable and growing demographic. While her citation count (5) reflects the niche, emerging nature of this specific field, the work’s conceptual rigor has made it a reference point for subsequent studies on gerontechnology and human-robot teaming. Ishak’s contribution lies not in volume, but in precision: she identified critical gaps in how trust is modeled for aging populations, bridging cognitive ergonomics with social robotics. Her analysis remains a valuable resource for engineers and designers seeking to create assistive robots that are not only functional but genuinely trusted by their human partners.