title: Understanding human navigation using network analysis.
abstract: We have considered a simple word game called the word-morph. After making our participants play a stipulated number of word-morph games, we have analyzed the experimental data. We have given a detailed analysis of the learning involved in solving this word game. We propose that people are inclined to learn landmarks when they are asked to navigate from a source to a destination. We note that these landmarks are nodes that have high closeness-centrality ranking.
authors.affiliation: Indian Statistical Institute, Chennai, India. sudarshansudarshan@gmail.com
authors.forename: S R
authors.initials: SR
authors.lastname: Sudarshan Iyengar
authors.forename: C E
authors.initials: CE
authors.lastname: Veni Madhavan
authors.forename: Katharina A
authors.initials: KA
authors.lastname: Zweig
authors.forename: Abhiram
authors.initials: A
authors.lastname: Natarajan
mesh_terms: D000328:Adult; D003071:Cognition; D019336:Cognitive Science / Q000379:methods*; D005260:Female; D005717:Games, Experimental; D006801:Humans; D007858:Learning; D008297:Male; D008606:Mental Processes; D008960:Models, Psychological; D013647:Task Performance and Analysis; D055815:Young Adult