{"title":"Simply Effective? Simplified User Interfaces in Software Tutorials","authors":"Pia Bsdurrek, Michael Meng","doi":"10.1177/00472816241262221","DOIUrl":"https://doi.org/10.1177/00472816241262221","url":null,"abstract":"Simplified user interfaces (SUIs) refer to a new design technique in technical communication that simplifies screenshots by removing irrelevant elements and highlighting only the essential information. While there is consensus on the benefits of signaling in multimedia learning, there is currently no empirical evidence on the effects of SUIs on user performance. This study reports an eye-tracking experiment that examined whether users can work more effectively and efficiently with a software tutorial containing SUIs instead of unedited pictures without signaling or pictures using conventional signaling techniques. The study also aimed to clarify whether SUIs draw user attention to relevant areas of a picture. Eye tracking and performance measures indicate that SUIs draw user attention successfully, but do not improve user performance compared to unedited screenshot in a tutorial scenario. The results contribute to the question of whether design principles of multimedia learning can be successfully transferred to action-oriented texts.","PeriodicalId":93788,"journal":{"name":"Journal of technical writing and communication","volume":"32 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving Proposal Writing by Looking to Information Operations","authors":"Seth J. Axelrod","doi":"10.1177/00472816241262231","DOIUrl":"https://doi.org/10.1177/00472816241262231","url":null,"abstract":"This article examines the subject of persuasion in technical and professional communications (TPC) with a specific focus on proposals in U.S. Government contracting. It demonstrates a fundamental disconnect between the intent of proposals, which is to persuade, and the rhetorical traditions and professional boundaries of technical writers. The analysis draws on the existing rhetorical- and genre-based TPC literature and borrows from theory in other disciplines—management, organizational theory, sociology, and psychology among others. To advance the scholarship on proposals, this analysis is framed within the overall context of a structural analogy to U.S. military Information Operations (IO). Through use of analogy, it is suggested that the IO community's approach to the concepts of “influence,” “narrative,” “target audience,” and “unity of effort” may offer useful insight for State and Federal contractors to consider in their efforts to write persuasive proposals. This analysis is then used to develop a research agenda for the study of proposals. Areas for future research include the science of persuasion and the use of narrative as it relates to proposals, improved rigor in the use of target audience research, and organizational constructs to improve collaborative writing in proposals.","PeriodicalId":93788,"journal":{"name":"Journal of technical writing and communication","volume":"126 49","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141811349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving ChatGPT's Competency in Generating Effective Business Communication Messages: Integrating Rhetorical Genre Analysis into Prompting Techniques","authors":"Junhua Wang","doi":"10.1177/00472816241260033","DOIUrl":"https://doi.org/10.1177/00472816241260033","url":null,"abstract":"This study explores how prompting techniques, especially those integrated with rhetorical analysis results, may improve the effectiveness of artificial intelligence (AI)-generated business communication messages. I conducted an experiment to assess the effectiveness of these prompting techniques in the context of crafting a negative message generated with ChatGPT 3.5 ( n = 85). A multiple regression was calculated to explore prompting techniques’ impact on the negative message grades and how each technique influences the message grade. The results ( F(4, 80) = 31.84, p < .001), with an adjusted R2 = .595, indicate a positive relationship between prompting techniques and the effectiveness of AI-generated messages. This study also identified challenges related to students’ AI literacy. I conclude the study by recommending practical measures on how to incorporate AI into business and professional writing classrooms.","PeriodicalId":93788,"journal":{"name":"Journal of technical writing and communication","volume":"14 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Asking is Hard: Appeals Language in Kickstarter Crowdfunding Campaigns","authors":"Stephen Carradini, Eric Nystrom","doi":"10.1177/00472816241262245","DOIUrl":"https://doi.org/10.1177/00472816241262245","url":null,"abstract":"Asking for money is one of the core communicative functions of a crowdfunding campaign. This article uses a novel corpus analysis scoring technique to investigate appeals language in a corpus of 312,529 Kickstarter campaigns. Our results show distinctive use patterns involving the verbs need, raise, please, make, and hope. Conceptual patterns, such as inviting the reader to participate in the creation of a product, underlie specific formulations of successful and unsuccessful word patterns and sentences. We conclude with theoretical and practical outcomes to aid technical communicators in more effectively writing crowdfunding campaigns on Kickstarter.","PeriodicalId":93788,"journal":{"name":"Journal of technical writing and communication","volume":"74 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luke Thominet, Jacqueline Amorim, Kristine Acosta, V. K. Sohan
{"title":"Role Play: Conversational Roles as a Framework for Reflexive Practice in AI-Assisted Qualitative Research","authors":"Luke Thominet, Jacqueline Amorim, Kristine Acosta, V. K. Sohan","doi":"10.1177/00472816241260044","DOIUrl":"https://doi.org/10.1177/00472816241260044","url":null,"abstract":"Previous literature has shown that generative artificial intelligence (GAI) software, including large language model (LLM) chatbots, might contribute to qualitative research studies. However, there is still a need to examine the relationships between researchers, GAI technologies, data, and findings. To address this need, our team conducted a thematic analysis of our reflexive journals from an LLM chatbot-assisted research project. We identified four roles that researchers adopted: managers closely monitored the LLM's work, teachers instructed the LLM on theories and methods, colleagues openly discussed the data with the LLM, and advocates worked with the LLM to improve user experiences. Planning for and playing with multiple roles also helped to enrich the research process. This study underscores the potential for using conversational roles as a framework to support reflexivity when working with GAI technologies on qualitative research.","PeriodicalId":93788,"journal":{"name":"Journal of technical writing and communication","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141356371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generative AI in Technical Communication: A Review of Research from 2023 to 2024","authors":"Carol Reeves, J. J. Sylvia","doi":"10.1177/00472816241260043","DOIUrl":"https://doi.org/10.1177/00472816241260043","url":null,"abstract":"Since its release in late 2022, ChatGPT and subsequent generative artificial intelligence (GAI) tools have raised a wide variety of questions and concerns for the field of technical communication: How will these tools be incorporated into professional settings? How might we appropriately integrate these tools into our research and teaching? In this review, we examine research published in 2023–2024 addressing these questions ( N = 28). Overall, we find preliminary evidence that GAI tools can positively impact student writing and assessment; they also have the potential to assist with some aspects of academic and medical research and writing. However, there are concerns about their reliability and the ethical conundrums raised when they are used inappropriately or when their outputs cannot be distinguished from humans. More research is needed for evidence-based teaching and research strategies as well as policies guiding ethical use. We offer suggestions for new research avenues and methods.","PeriodicalId":93788,"journal":{"name":"Journal of technical writing and communication","volume":"30 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141357508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beyond the Robot Tropes: Embracing Nuance and Context in the Adoption of Generative AI","authors":"J. J. Sylvia, Carol Reeves","doi":"10.1177/00472816241260035","DOIUrl":"https://doi.org/10.1177/00472816241260035","url":null,"abstract":"This introductory article examines the evolving landscape of generative artificial intelligence (GAI) tools, contextualizing their impact through historical tropes of automation as both helper and threat. The authors argue that GAI tools are neither sentient helpers nor existential threats but complex systems that require careful integration into educational and research settings. The article underscores the importance of nuanced, evidence-based approaches, advocating for a balanced understanding of GAI's potential and limitations. It emphasizes ethical considerations and promotes reflective adoption over reactionary measures.","PeriodicalId":93788,"journal":{"name":"Journal of technical writing and communication","volume":"108 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141362187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Surveillance Work in (and) Teaching Technical Writing with AI","authors":"E. H. Pflugfelder, Joshua Reeves","doi":"10.1177/00472816241260028","DOIUrl":"https://doi.org/10.1177/00472816241260028","url":null,"abstract":"The use of generative artificial intelligence (GAI) large language models has increased in both professional and classroom technical writing settings. One common response to student use of GAI is to increase surveillance, incorporating plagiarism detection services or banning certain composing activities from the classroom. This paper argues such measures are harmful and instead proposes a “CARE” framework: critical, authorial, rhetorical, and educational—a nuanced approach emphasizing ethical and contextual AI use in technical writing classrooms. This framework aligns with plagiarism best practices, initially devised from when rhetoric and composition scholars considered the pedagogical implications of the Internet.","PeriodicalId":93788,"journal":{"name":"Journal of technical writing and communication","volume":" 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141368340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"WITHDRAWAL – Administrative Duplicate Publication: Introduction to the Special Issue on Visual Communication and Visual Literacy (Part One)","authors":"","doi":"10.1177/00472816241232747","DOIUrl":"https://doi.org/10.1177/00472816241232747","url":null,"abstract":"","PeriodicalId":93788,"journal":{"name":"Journal of technical writing and communication","volume":"93 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140086561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Perspectives on UX Practices for American Entrepreneurs: A Survey of User Engagement Approaches to Innovation","authors":"Ryan Weber, John M. Spartz","doi":"10.1177/00472816241230069","DOIUrl":"https://doi.org/10.1177/00472816241230069","url":null,"abstract":"This article explores how entrepreneurs engage users in innovation in order to identify collaboration opportunities between entrepreneurship and technical and professional communication (TPC) scholars interested in user experience (UX). This article surveyed American entrepreneurs (N = 100) asking when and how they involve users in product development. The results suggest that most entrepreneurs do engage users to drive innovation and understand their markets, but do so largely through informal means. Our research suggests that UX can serve as a connection point for TPC scholars and entrepreneurs, especially if TPC emphasizes the role of UX in innovation and offers entrepreneurs efficient yet reliable user-research methodologies.","PeriodicalId":93788,"journal":{"name":"Journal of technical writing and communication","volume":"17 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140442430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}