Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Route choice in individuals—semantic network navigation Nicole M. Beckage (nbeckage@uci.edu), Mark Steyvers (mark.steyvers@uci.edu) Department of Cognitive Sciences, Social and Behavioral Sciences Gateway Building Irvine, CA 92697 USA Carter T. Butts (buttsc@uci.edu) Institute of Mathematical and Behavioral Sciences & Department of Sociology Donald Bren Hall Irvine, CA 92697 USA Abstract individuals can explicitly navigate semantic space and how much individuals rely on local information, available in many types of foraging tasks, as ll as global information, which is available through previous linguistic experience.  give individuals a start location in the semantic network and ask them to build chains of associates to get to a target location. This data provides us with the decisions of individuals which can in turn tell us about the underlying navigation process and semantic environment. Results from computer science have also suggested what types of networks are most easily navigable and Kleinberg (2000) has done simulation work considering what properties networks must have for humans to successfully navigate through them. This work operates within a message passing paradigm, in which navigation occurs via a series of independent, uncoordinated routing decisions in which each node selects a neighbor to serve as the next decision maker in the passing chain. An important complement to this fam- ily of problems is a route choice paradigm, in which a single decision maker identifies the entire path to be follod. More recently, work exploring human navigation of semantic network paths (from start to goal) has been conducted within the route choice paradigm. Specifically, in relation to this work, this has been studied in Wikipedia where individuals are given a start Wikipedia page and asked to navigate to a goal page (st et al, 2009). Whereas this work does rely on human cognition, the results of this work focus mostly on computer science implications.  hope to expand this work by exploring the cognitive implications of an individual’s decisions. To achieve this goal,  consider how humans navigate through realistic semantic network representations and, therefore, consider a novel task in which individuals are asked to navigate in a predefined semantic space. Because so little work has been done on semantic network navigation by a single individual,  set out in this paper to ansr some fundamental questions. The most obvious being whether individuals can navigate a semantic network without being given explicit global information regarding network structure. To foreshadow our results, they can and will do so quite ll in specific situations. This leads to other questions, such as what type of information might individuals be using in making routing decisions; how much local information is utilized in our specific network representation versus how much knowledge comes from global language knowledge. More generally, what can this tell us about human cognition, navigation and search? In a novel experimental task, individuals are asked to navigate from a start word to a goal word through a semantic network. In this forced-choice task, individuals perform with a high success rate (73%) and frequently navigate to the target in the minimal number of required steps (22%).  utilize these experimental results to explore different search and decision strategies. Our descriptive modeling results suggest indi- viduals are not guessing at random (or utilizing only local information) and that knowledge of the global structure is necessary for individuals to succeed.  further show that a latent semantic space model, such as word association space, can capture much of the global semantic knowledge necessary to explain participant decisions.  suggest that performance in this task might capture some of the underlying structure of semantic memory and, importantly, search within memory. Keywords: Semantic network, navigation, memory, network navigation, search in memory semantic Introduction Much work within computer science and informatics has looked at humans as information foragers (Fu & Pirolli, 2007). In many analyses, foragers rely on the structure of the environment for information foraging cues. While  know humans are able to search and gather information from a variety of environments (Fu & Pirolli 2007; MacGregor et al, 1986),  ask what happens when individuals are themselves responsible for both the structure in the environment as ll as for searching on and within the structured environment.  use semantic navigation as a task in order to examine this aspect of search. Semantic navigation includes any and all orientation and search within semantic knowledge. This could be due to communication beten individuals, comprehension of auditory and visual language or encoding and retrieval of vocabulary within memory. Semantic space is unique in that it has been shaped not only by individual experience but also through cultural and historical contexts. Unlike searching on the b (Fu & Pirolli, 2007) database menus (MacGregor et al, 1986) or Wikipedia (st et al, 2009), semantic search requires searching on a naturally evolved but explicitly learned representation. This added level of implicit knowledge of the structure of the environment might allow for foragers within semantic space to utilize the environment more effectively and quickly.  know from past work, that humans are already very good at navigation even in foreign environments such as the b (Fu & Pirolli, 2007).  set out here to see if
['Nicole Beckage', 'Mark Steyvers', 'Carter T. Butts']
I am writing a research paper on a idea Route choice in individuals—semantic network navigation
[{"from": "human", "value": "I am writing a research paper on a idea Route choice in individuals\u2014semantic network navigation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Route choice in individuals\u2014semantic network navigation Nicole M. Beckage (nbeckage@uci.edu), Mark Steyvers (mark.steyvers@uci.edu) Department of Cognitive Sciences, Social and Behavioral Sciences Gateway Building Irvine, CA 92697 USA Carter T. Butts (buttsc@uci.edu) Institute of Mathematical and Behavioral Sciences & Department of Sociology Donald Bren Hall Irvine, CA 92697 USA Abstract individuals can explicitly navigate semantic space and how much individuals rely on local information, available in many types of foraging tasks, as ll as global information, which is available through previous linguistic experience.  give individuals a start location in the semantic network and ask them to build chains of associates to get to a target location. This data provides us with the decisions of individuals which can in turn tell us about the underlying navigation process and semantic environment. Results from computer science have also suggested what types of networks are most easily navigable and Kleinberg (2000) has done simulation work considering what properties networks must have for humans to successfully navigate through them. This work operates within a message passing paradigm, in which navigation occurs via a series of independent, uncoordinated routing decisions in which each node selects a neighbor to serve as the next decision maker in the passing chain. An important complement to this fam- ily of problems is a route choice paradigm, in which a single decision maker identifies the entire path to be follod. More recently, work exploring human navigation of semantic network paths (from start to goal) has been conducted within the route choice paradigm. Specifically, in relation to this work, this has been studied in Wikipedia where individuals are given a start Wikipedia page and asked to navigate to a goal page (st et al, 2009). Whereas this work does rely on human cognition, the results of this work focus mostly on computer science implications.  hope to expand this work by exploring the cognitive implications of an individual\u2019s decisions. To achieve this goal,  consider how humans navigate through realistic semantic network representations and, therefore, consider a novel task in which individuals are asked to navigate in a predefined semantic space. Because so little work has been done on semantic network navigation by a single individual,  set out in this paper to ansr some fundamental questions. The most obvious being whether individuals can navigate a semantic network without being given explicit global information regarding network structure. To foreshadow our results, they can and will do so quite ll in specific situations. This leads to other questions, such as what type of information might individuals be using in making routing decisions; how much local information is utilized in our specific network representation versus how much knowledge comes from global language knowledge. More generally, what can this tell us about human cognition, navigation and search? In a novel experimental task, individuals are asked to navigate from a start word to a goal word through a semantic network. In this forced-choice task, individuals perform with a high success rate (73%) and frequently navigate to the target in the minimal number of required steps (22%).  utilize these experimental results to explore different search and decision strategies. Our descriptive modeling results suggest indi- viduals are not guessing at random (or utilizing only local information) and that knowledge of the global structure is necessary for individuals to succeed.  further show that a latent semantic space model, such as word association space, can capture much of the global semantic knowledge necessary to explain participant decisions.  suggest that performance in this task might capture some of the underlying structure of semantic memory and, importantly, search within memory. Keywords: Semantic network, navigation, memory, network navigation, search in memory semantic Introduction Much work within computer science and informatics has looked at humans as information foragers (Fu & Pirolli, 2007). In many analyses, foragers rely on the structure of the environment for information foraging cues. While  know humans are able to search and gather information from a variety of environments (Fu & Pirolli 2007; MacGregor et al, 1986),  ask what happens when individuals are themselves responsible for both the structure in the environment as ll as for searching on and within the structured environment.  use semantic navigation as a task in order to examine this aspect of search. Semantic navigation includes any and all orientation and search within semantic knowledge. This could be due to communication beten individuals, comprehension of auditory and visual language or encoding and retrieval of vocabulary within memory. Semantic space is unique in that it has been shaped not only by individual experience but also through cultural and historical contexts. Unlike searching on the b (Fu & Pirolli, 2007) database menus (MacGregor et al, 1986) or Wikipedia (st et al, 2009), semantic search requires searching on a naturally evolved but explicitly learned representation. This added level of implicit knowledge of the structure of the environment might allow for foragers within semantic space to utilize the environment more effectively and quickly.  know from past work, that humans are already very good at navigation even in foreign environments such as the b (Fu & Pirolli, 2007).  set out here to see if"}]