Papers

15

Total Citations

179

H-Index

8

About

Long-Jing Hsu is an emerging researcher at the intersection of human-robot interaction, aging, and well-being, whose work is reshaping how social robots can meaningfully support older adults. With a distinctive focus on the Japanese concept of *ikigai*—one's sense of meaning and purpose in life—Hsu has pioneered investigations into how robots can address not just practical needs but the deeper eudaimonic dimensions of human flourishing. Their landmark papers, including "Finding Ikigai: How Robots Can Support Meaning in Later Life" (27 citations) and the mixed-methods study connecting ikigai to robot acceptance in Japanese older adults (18 citations), have opened an entirely new research direction within HRI. Hsu's contributions extend beyond theory into participatory design, developing inclusive co-design methodologies for older adults and people living with dementia—populations often excluded from traditional design processes. Their "Spill the Tea" project (32 citations) demonstrated that autonomous robot conversations could meaningfully probe and support well-being in everyday settings. Across more than 150 cumulative citations in just a few years, Hsu's body of work stands out for its ethical sensitivity, cross-cultural scope, and commitment to centering the voices of older adults in the technologies designed to serve them.

Research Focus

Key Achievements

8
H-Index
15
Papers
179
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Spill the Tea
32 citations · 2023
📈 Most Prolific Year: 2023 (8 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Indiana University Bloomington, Indiana University, National Tsing Hua University

Top Papers

  1. 1
    Spill the Tea
    32 citations · 2023
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago