Gary Wills

University of Southampton

Papers

4

Total Citations

32

H-Index

4

About

Gary Wills is a leading researcher whose work sits at the intersection of human-computer interaction, assistive technology, and spatial computing. His primary research areas focus on developing accessible indoor navigation systems and exploring the design of anthropomorphic interfaces. Wills’ most significant contributions lie in creating spatial representation frameworks that enable people with visual impairments to navigate complex indoor environments independently. His foundational work on map data representation for indoor navigation—including his most-cited paper (13 citations)—established critical design principles for constructing accessible indoor maps, addressing a major gap where GPS-based outdoor navigation tools fail. He further validated a comprehensive Spatial Representation Framework (SRF) that defines how building information should be structured for visually impaired users, a contribution that has shaped subsequent assistive navigation technologies. Beyond accessibility, Wills has advanced the understanding of anthropomorphic computing, analyzing how avatars, interface agents, and hybrid characters can enhance digital interactions. His research on the “design spectrum” of anthropomorphic interfaces (8 citations) provides a systematic framework for designers and developers. Through these interconnected contributions, Wills has helped bridge the gap between spatial data representation and inclusive design, making indoor environments more navigable and digital interfaces more intuitive for diverse user populations.

Research Focus

Key Achievements

4
H-Index
4
Papers
32
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Map Data Representation for Indoor Navigation by Blind People
13 citations · 2016
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Southampton

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago