Christina Atay

The University of Queensland

Papers

1

Total Citations

10

H-Index

1

About

Christina Atay’s research lies at the intersection of human-computer interaction, assistive technology, and gerontechnology, with a focus on designing conversational agents to support aging populations. Her most cited work, “P3‐404: Can a Smartphone‐Based Chatbot Engage Older Community Group Members? The Impact of Specialised Content” (2016), explores how the Android chatbot Harlie (Human and Robot Language Interaction Experiment) can foster regular conversation among older adults, including those with dementia. This study demonstrated that tailored, specialized content significantly boosts user engagement, offering a scalable tool to help maintain communication confidence as cognitive abilities decline. Atay’s contributions are notable for bridging social robotics and accessible mobile technology, providing practical pathways for deploying chatbots in community settings. With 10 citations, this paper has influenced subsequent work on socially assistive agents for aging populations. Her research underscores the potential of low-cost, smartphone-based interventions to combat social isolation and cognitive decline, making her a key voice in the growing field of digital health for older adults.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
P3‐404: Can a Smartphone‐Based Chatbot Engage Older Community Group Members? The Impact of Specialised Content
10 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: The University of Queensland

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago