CHI 2008: Florence, Italy - BELIV

What to measure and how

• Sean M. McNee, Ben Arnette:
  Productivity as a metric for visual analytics: reflections on e-discovery. 1
  Electronic Edition (ACM DL) BibTeX
• Heidi Lam, Tamara Munzner:
  Increasing the utility of quantitative empirical studies for meta-analysis. 2
  Electronic Edition (ACM DL) BibTeX
• Weidong Huang, Peter Eades, Seok-Hee Hong:
  Beyond time and error: a cognitive approach to the evaluation of graph drawings. 3
  Electronic Edition (ACM DL) BibTeX
• Ji Soo Yi, Youn ah Kang, John T. Stasko, Julie A. Jacko:
  Understanding and characterizing insights: how do people gain insights using information visualization? 4
  Electronic Edition (ACM DL) BibTeX

Qualitative methods and logging

• Sarah Faisal, Brock Craft, Paul A. Cairns, Ann Blandford:
  Internalization, qualitative methods, and evaluation. 5
  Electronic Edition (ACM DL) BibTeX
• Petra Isenberg, Torre Zuk, Christopher Collins, M. Sheelagh T. Carpendale:
  Grounded evaluation of information visualizations. 6
  Electronic Edition (ACM DL) BibTeX
• Melanie Tory, Sheryl Staub-French:
  Qualitative analysis of visualization: a building design field study. 7
  Electronic Edition (ACM DL) BibTeX

Methodology and case studies

• Mark A. Whiting, Jereme Haack, Carrie Varley:
  Creating realistic, scenario-based synthetic data for test and evaluation of information analytics software. 8
  Electronic Edition (ACM DL) BibTeX
• Eliane Regina de Almeida Valiati, Carla Maria Dal Sasso Freitas, Marcelo Soares Pimenta:
  Using multi-dimensional in-depth long-term case studies for information visualization evaluation. 9
  Electronic Edition (ACM DL) BibTeX
• Xiaobin Shen, Andrew Vande Moere, Peter Eades, Seok-Hee Hong:
  The long-term evaluation of Fisherman in a partial-attention environment. 10
  Electronic Edition (ACM DL) BibTeX