| Title |
The influence of memory on indoor environment exploration: A numerical study
|
|---|---|
| Published in |
Behavior Research Methods, July 2015
|
| DOI | 10.3758/s13428-015-0604-1 |
| Pubmed ID | |
| Authors |
Vaisagh Viswanathan, Michael Lees, Peter M. A. Sloot |
| Abstract |
Understanding human behavior in the context of exploration and navigation is an important but challenging problem. Such understanding can help in the design of safe structures and spaces that implicitly aid humans during evacuation or other emergency situations. In particular, the role that memory plays in this process is something that is crucial to understand. In this paper, we develop a novel serious game-based experimental approach to understanding the non-randomness and the impact of memory on the human exploration process. We show that a simple memory model, with a depth of between 6 and 8 steps, is sufficient to approximate a 'human-like' level of exploration efficiency. We also demonstrate the advantages that a game-based experimental methodology brings to these kinds of experiments in the amount of data that can be collected as compared to traditional experiments. We feel that these findings have important implications for 'safety-by-design' in complex infrastructural structures. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 19% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Master | 8 | 15% |
| Researcher | 4 | 8% |
| Professor > Associate Professor | 4 | 8% |
| Other | 8 | 15% |
| Unknown | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 25% |
| Psychology | 10 | 19% |
| Engineering | 7 | 13% |
| Earth and Planetary Sciences | 4 | 8% |
| Social Sciences | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 10 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2015.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from Behavior Research Methods
#1,538
of 2,524 outputs
Outputs of similar age
#155,777
of 276,415 outputs
Outputs of similar age from Behavior Research Methods
#13
of 33 outputs
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