M. Walters

Social Psychology · 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems · 2005–2009

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Walters trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Karl Frederic MacDorman
  2. Kerstin Dautenhahn
  3. T. Fong
  4. Cynthia Lynn Breazeal
  5. Hiroshi Ishiguro
  6. Illah Reza Nourbakhsh
  7. J. Breese
  8. Batya Friedman
  9. Peter H. Kahn Jr.
  10. Takayuki Kanda

Who trusts M. Walters overall

  1. Daniel Belanche
  2. Emrah Akin Sisbot
  3. Iis P. Tussyadiah
  4. Luis Vicente Casaló
  5. Kerstin Dautenhahn
  6. Amit Kumar Pandey

Papers from M. Walters's perspective

Ordered by how strongly the researchers M. Walters trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Designing sociable robots
  2. The media equation - how people treat computers, television, and new media like real people and places
  3. Interactive Robots as Social Partners and Peer Tutors for Children: A Field Trial (Hum. Comput. Interact.)
  4. A survey of socially interactive robots
  5. Hardware companions?: what online AIBO discussion forums reveal about the human-robotic relationship (International Conference on Human Factors in Computing Systems)
  6. Matching robot appearance and behavior to tasks to improve human-robot cooperation (The 12th IEEE International Workshop on Robot and Human Interactive Communication, 2003. Proceedings. ROMAN 2003.)
  7. The role of expressiveness and attention in human-robot interaction (Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292))
  8. Social and collaborative aspects of interaction with a service robot (Robotics Auton. Syst.)
  9. Robotic pets in the lives of preschool children (CHI EA '04)
  10. The uncanny advantage of using androids in cognitive and social science research

Their papers