Capturing Subject Feedback During User Studies - A Novel Way of Obtaining Participant's Subjective Feedback During Human-Robot Interaction Trials

TitleCapturing Subject Feedback During User Studies - A Novel Way of Obtaining Participant's Subjective Feedback During Human-Robot Interaction Trials
Publication TypeJournal Article
Year of Publication2007
AuthorsKoay KL, Walters ML, Dautenhahn K, Alissandrakis A, Syrdal DS
JournalSubmitted for publication
AbstractHuman centred HRI trial sthat examine the user-experience need alsoi to take into account the the humans's participants subjectine=ve judgement in respoec to the robot current actions behavior, in the specific social context. Addressing this issue, a novel interface devoice, the CLD, is introduced and tested in various HRI trial contexts. The CLD design allowws for improved data collection of the particpants subjective judgements durinmg trials, and on-lone data fusion of these judgements as annotations to various data streams obtained during the the experiments( video footage, robot sensor etc.). Usiing four unconstrained HRI trrials as examples, the methodology od using the CLD is illustrated, hoighlightoing itys contributions to the data analysis and interpretation of the experimental data. The adaptation of the the devoce to address the subsequent requirements of each trial is discussed, presenting the methoological benifits of the approach.
Posted by mickwalters on Thursday, 19 February, 2009 /

Photos

www.flickr.com