Repurposing Online Videos for Exploratory Design Research

Date

2019-11-20

Author

Eren, Gizem Hediye
Korkut, Fatma

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

233
views

0
downloads

This paper presents the development of a generative toolkit which utilizes user-generated online videos (UGVs) as found data and repurposes them for exploratory design research and idea generation. The toolkit aims at supporting design students to browse, select and analyse UGVs for generating design insights and ideas for unfamiliar problem domains and hard-to-access user groups. The toolkit development process started with a retrospective analysis of a selection of industrial design studio projects followed by interviews with the students and the tutors involved. An initial model was developed and used in a 5-week design studio project taken by 75 senior year industrial design students at Anadolu University. Based upon the findings of these studies, the revised toolkit was implemented in a half-day crash workshop involving a small number of participants. During the workshop, the participants were provided with a concise literature review regarding a specific design project topic, a YouTube playlist of related videos, the video analysis board samples from previous studies, and the video analysis board templates for different analysis modes. Since the toolkit puts a special emphasis on unfamiliar domains and challenging user groups, the workshop involved the assistance of an external expert during the video analysis process. Through the UGVs the participants were able to immerse themselves into the subject and get familiar with the problem domain rapidly. The components of the toolkit such as video analysis samples and templates were also used as guidelines to interpret UGVs. The expert was directly involved in the video analysis process, and made clarifications and remarks concerning the participants’ questions and comments for gaining insights. The paper reports the outcome and findings of this half-day workshop and discusses the key insights for further developing the toolkit

URI

https://hdl.handle.net/11511/52354

DOI

https://doi.org/10.21606/learnxdesign.2019.18123

Collections

Department of Industrial Design, Conference / Seminar

Suggestions

OpenMETU
Core

A service oriented peer to peer web service discovery mechanism with categorization Özorhan, Mustafa Onur; Çiçekli, Fehime Nihan; Department of Computer Engineering (2010) This thesis, studies automated methods to achieve web service advertisement and discovery, and presents efficient search and matching techniques based on OWL-S. In the proposed system, the service discovery and matchmaking is performed via a centralized peer-to-peer web service repository. The repository has the ability to run on a software cloud, which improves the availability and scalability of the service discovery. The service advertisement is done semi-automatically on the client side, with an automat...
An inspection approach for conceptual models in notations derived from UML: A case study Tanrioever, Oezeguer; Bilgen, Semih (2007-11-09) This paper presents an overview of a proposed framework for improving the quality of conceptual models developed in notations derived from UML. To this aim, wellness properties of a UML model are described shortly. Through a case study, we show that an ad hoc inspection process in accordance with this framework can be defined and performed depending on the conceptual modeling notation and typical real models. This study showed us that the application of the defined inspection process, which adopts concepts ...
An intelligent multimedia information system for multimodal content extraction and querying Yazıcı, Adnan; Yilmaz, Turgay; Sattari, Saeid; SERT, MUSTAFA; Gulen, Elvan (2018-01-01) This paper introduces an intelligent multimedia information system, which exploits machine learning and database technologies. The system extracts semantic contents of videos automatically by using the visual, auditory and textual modalities, then, stores the extracted contents in an appropriate format to retrieve them efficiently in subsequent requests for information. The semantic contents are extracted from these three modalities of data separately. Afterwards, the outputs from these modalities are fused...
The effects of metacognitive knowledge on the pre-service teachers' participation in the asynchronous online forum Topcu, Abdullah; Ubuz, Behiye (2008-01-01) This paper researches the effects that students' metacognitive knowledge has on their participation in online forum discussions, which form part of a web-based asynchronous course based on a constructivist instructional approach. Metacognitive knowledge increases learners' ability to be independent learners, which is an indispensable characteristic of the distant learner. The study was carried out with 32 third-grade pre-service teachers. Each message in the forum discussions was analyzed in terms of intera...
A hybrid video recommendation system based on a graph-based algorithm Öztürk, Gizem; Çiçekli, Fehime Nihan; Department of Computer Engineering (2010) This thesis proposes the design, development and evaluation of a hybrid video recommendation system. The proposed hybrid video recommendation system is based on a graph algorithm called Adsorption. Adsorption is a collaborative filtering algorithm in which relations between users are used to make recommendations. Adsorption is used to generate the base recommendation list. In order to overcome the problems that occur in pure collaborative system, content based filtering is injected. Content based filtering ...

Citation Formats

G. H. Eren and F. Korkut, “Repurposing Online Videos for Exploratory Design Research,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52354.