Challenges in Transcribing Multimodal Data: A Case Study

open2siComputer-mediated communication (CMC) once meant principally text-based communication mediated by computers, but rapid technological advances in recent years have heralded an era of multimodal communication with a growing emphasis on audio and video synchronous interaction. As CMC, in all its variants (text chats, video chats, forums, blogs, SMS, etc.), has become normalized practice in personal and professional lives, educational initiatives, particularly language teaching and learning, are following suit. For researchers interested in exploring learner interactions in complex technology-supported learning environments, new challenges inevitably emerge. This article looks at the challenges of transcribing and representing multimodal data (visual, oral, and textual) when engaging in computer-assisted language learning research. When transcribing and representing such data, the choices made depend very much on the specific research questions addressed, hence in this paper we explore these challenges through discussion of a specific case study where the researchers were seeking to explore the emergence of identity through interaction in an online, multimodal situated space. Given the limited amount of literature addressing the transcription of online multimodal communication, it is felt that this article is a timely contribution to researchers interested in exploring interaction in CMC language and intercultural learning environments.Cited 10 times as of November 2020 including the prestigious Language Learning Sans Frontiers: A Translanguaging View L Wei, WYJ Ho - Annual Review of Applied Linguistics, 2018 - cambridge.org In this article, we present an analytical approach that focuses on how transnational and translingual learners mobilize their multilingual, multimodal, and multisemiotic repertoires, as well as their learning and work experiences, as resources in language learning. The … Cited by 23 Related articles All 11 versionsopenFrancesca, Helm; Melinda DoolyHelm, Francesca; Melinda, Dool

Social media as a data gathering tool for international business qualitative research: opportunities and challenges

Lusophone African (LA) multinational enterprises (MNEs) are becoming a significant pan-African and global economic force regarding their international presence and influence. However, given the extreme poverty and lack of development in their home markets, many LA enterprises seeking to internationalize lack resources and legitimacy in international markets. Compared to higher income emerging markets, Lusophone enterprises in Africa face more significant challenges in their internationalization efforts. Concomitantly, conducting significant international business (IB) research in these markets to understand these MNEs internationalization strategies can be a very daunting task. The fast-growing rise of social media on the Internet, however, provides an opportunity for IB researchers to examine new phenomena in these markets in innovative ways. Unfortunately, for various reasons, qualitative researchers in IB have not fully embraced this opportunity. This article studies the use of social media in qualitative research in the field of IB. It offers an illustrative case based on qualitative research on internationalization modes of LAMNEs conducted by the authors in Angola and Mozambique using social media to identify and qualify the population sample, as well as interact with subjects and collect data. It discusses some of the challenges of using social media in those regions of Africa and suggests how scholars can design their studies to capitalize on social media and corresponding data as a tool for qualitative research. This article underscores the potential opportunities and challenges inherent in the use of social media in IB-oriented qualitative research, providing recommendations on how qualitative IB researchers can design their studies to capitalize on data generated by social media.https://doi.org/10.1080/15475778.2019.1634406https://doi.org/10.1080/15475778.2019.1634406https://doi.org/10.1080/15475778.2019.1634406https://doi.org/10.1080/15475778.2019.1634406Accepted manuscriptPublished versio

Collaboration scripts - a conceptual analysis

This article presents a conceptual analysis of collaboration scripts used in face-to-face and computer-mediated collaborative learning. Collaboration scripts are scaffolds that aim to improve collaboration through structuring the interactive processes between two or more learning partners. Collaboration scripts consist of at least five components: (a) learning objectives, (b) type of activities, (c) sequencing, (d) role distribution, and (e) type of representation. These components serve as a basis for comparing prototypical collaboration script approaches for face-to-face vs. computer-mediated learning. As our analysis reveals, collaboration scripts for face-to-face learning often focus on supporting collaborators in engaging in activities that are specifically related to individual knowledge acquisition. Scripts for computer-mediated collaboration are typically concerned with facilitating communicative-coordinative processes that occur among group members. The two lines of research can be consolidated to facilitate the design of collaboration scripts, which both support participation and coordination, as well as induce learning activities closely related to individual knowledge acquisition and metacognition. In addition, research on collaboration scripts needs to consider the learners’ internal collaboration scripts as a further determinant of collaboration behavior. The article closes with the presentation of a conceptual framework incorporating both external and internal collaboration scripts

ELICA: An Automated Tool for Dynamic Extraction of Requirements Relevant Information

Requirements elicitation requires extensive knowledge and deep understanding of the problem domain where the final system will be situated. However, in many software development projects, analysts are required to elicit the requirements from an unfamiliar domain, which often causes communication barriers between analysts and stakeholders. In this paper, we propose a requirements ELICitation Aid tool (ELICA) to help analysts better understand the target application domain by dynamic extraction and labeling of requirements-relevant knowledge. To extract the relevant terms, we leverage the flexibility and power of Weighted Finite State Transducers (WFSTs) in dynamic modeling of natural language processing tasks. In addition to the information conveyed through text, ELICA captures and processes non-linguistic information about the intention of speakers such as their confidence level, analytical tone, and emotions. The extracted information is made available to the analysts as a set of labeled snippets with highlighted relevant terms which can also be exported as an artifact of the Requirements Engineering (RE) process. The application and usefulness of ELICA are demonstrated through a case study. This study shows how pre-existing relevant information about the application domain and the information captured during an elicitation meeting, such as the conversation and stakeholders' intentions, can be captured and used to support analysts achieving their tasks.Comment: 2018 IEEE 26th International Requirements Engineering Conference Workshop

Examining the role of smart TVs and VR HMDs in synchronous at-a-distance media consumption

This article examines synchronous at-a-distance media consumption from two perspectives: How it can be facilitated using existing consumer displays (through TVs combined with smartphones), and imminently available consumer displays (through virtual reality (VR) HMDs combined with RGBD sensing). First, we discuss results from an initial evaluation of a synchronous shared at-a-distance smart TV system, CastAway. Through week-long in-home deployments with five couples, we gain formative insights into the adoption and usage of at-a-distance media consumption and how couples communicated during said consumption. We then examine how the imminent availability and potential adoption of consumer VR HMDs could affect preferences toward how synchronous at-a-distance media consumption is conducted, in a laboratory study of 12 pairs, by enhancing media immersion and supporting embodied telepresence for communication. Finally, we discuss the implications these studies have for the near-future of consumer synchronous at-a-distance media consumption. When combined, these studies begin to explore a design space regarding the varying ways in which at-a-distance media consumption can be supported and experienced (through music, TV content, augmenting existing TV content for immersion, and immersive VR content), what factors might influence usage and adoption and the implications for supporting communication and telepresence during media consumption