Currently, audiovisual documents constitute one of the main sources of information. Documentary videos are audiovisual documents aiming to capture the reality by means of images, sounds, texts, and interviews [1]. However, information contained in the documentary videos is not always relevant; in fact, much information is part of the context or the connection among image sequences of the video. Some authors try to identify the objects and actions in videos out of the background [2], while others employ algorithms to store and correlate video sequences for later search [3]; some others propose algorithms to identify the properties of the sequences of a video and store them in ontologies [4]. In addition, some authors use the videos for reflecting reality and validating system software requirements [5]. All of such studies lead us to identify the importance of information extraction and the usage of videos for creating knowledge bases for later use. The analyst chooses what information is suitable for his/her needs with a goal in mind. Likewise, some games are related to the world of audiovisual documents like Hollywood-blockbusterŽ?aiming to train the best film with the best actors, producers and scenarios [6]?and Scene it?Ž?a board game and Xbox 360 videogame aiming to search for the most movie-buff participant by asking questions, anagrams, clips, and images related to the movie world [7]. However, few games are oriented to the information extraction from documentary videos and the information potentially learned from such videos. In this paper, we propose a game allowing for analysts to identify relevant information in documentary videos as a way to model a software system. In the game, players are encouraged to seek information by entering several scenarios of documentary videos?represented by textual and audiovisual sequences. Players should also model the information they have seen, heard, or read about the documentary video by using a pre-conceptual schema [8]. Thus, the aim of the game is reached when the players?analysts?are able to represent information provided from a particular domain, but in this case they use a documentary video as a source of information. During the game experience, participants were interested on the topics proposed as a way to understand organizational processes. Also, they have recognized the components of documentary videos they have been challenged to observe, listen, and read better, in order to reach better understanding as system analysts do.
[1]
J. A. Bolúfer,et al.
Diccionario de la lengua española
,
1917
.
[3]
Carlos Mario Zapata Jaramillo,et al.
Pre-conceptual Schema: A Conceptual-Graph-Like Knowledge Representation for Requirements Elicitation
,
2006,
MICAI.
[4]
Alan F. Newell,et al.
The efficacy of narrative video for raising awareness in ICT designers about older users' requirements
,
2007,
Interact. Comput..
[5]
Khushwant K. S. Pittenger,et al.
Incorporating Video as a Teaching Strategy in Interpersonal Communication
,
2014
.
[6]
Zhu Liu,et al.
Major cast detection in video using both audio and visual information
,
2001,
2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[7]
Kimiaki Shirahama,et al.
Content-Based Video Retrieval Using Video Ontology
,
2007,
Ninth IEEE International Symposium on Multimedia Workshops (ISMW 2007).
[8]
B. Grant,et al.
Documenting the documentary : close readings of documentary film and video
,
2013
.
[9]
Yu-Chiang Frank Wang,et al.
Exploring Visual and Motion Saliency for Automatic Video Object Extraction
,
2013,
IEEE Transactions on Image Processing.
[10]
Dante Carrizo Moreno.
Comparación de efectividad de las técnicas de educción de requisitos software: visión novel y experta
,
2012
.
[11]
Riccardo Leonardi,et al.
Low level processing of audio and video information for extracting the semantics of content
,
2001,
2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564).
[12]
Oliver Creighton,et al.
Continuous demonstration
,
2011,
2011 Fourth International Workshop on Multimedia and Enjoyable Requirements Engineering (MERE'11).