Hype Cycle Research Articles

Large Language Publishing

The AI hype cycle has come for scholarly publishing. This essay argues that the industry’s feverishーif mostly aspirationalーembrace of artificial intelligence should be read as the latest installment of an ongoing campaign. Led by Elsevier, commercial publishers have, for about a decade, layered a second business on top of their legacy publishing operations. That business is to mine and process scholars’ works and behavior into prediction products, sold back to universities and research agencies. This article focuses on an offshoot of the big firms’ surveillance-publishing businesses: the post-ChatGPT imperative to profit from troves of proprietary “training data,” to make new AI products andーthe essay predictsーto license academic papers and scholars’ tracked behavior to big technology companies. The article points to the potential knowledge effects of AI models in academia: Products and models are poised to serve as knowledge arbitrators, by picking winners and losers according to what they makevisible. I also cite potential knock-on effects, including incentives for publishers to roll back open access (OA) and new restrictions on researchers’ access to the open web. The article concludes with a call for a coordinated campaign of advocacy and consciousness-raising, paired with high-quality, in-depth studies of publisher data harvestingーbuilt on the premise that another scholarly-publishing world is possible. There are many good reasons to restore custody to the academy, the essay argues. The latest is to stop our work from fueling the publishers’ AI profits.

Using Immersive Planning Tools to Reimagine Virtual Libraries

Immersive technologies (e.g., Virtual Reality) can both reproduce existing spaces or help bring imagination to life. When considered in relation to the needs of the users, these technologies can facilitate rewarding experiences that encourage repeated usage. However, poorly motivated experiences may result in expensive mistakes. One rewarding experience has been through the creation of immersive sound planning tools to help Professionals of the Built Environment (e.g. urban plannersand designers) consider sound in their work (Yanaky et al., 2023). Using a user-centered design process, we developed a Virtual Reality planning tool, City Ditty. A first evaluation indicated that users, regardless of their experience, could complete both a sound-awareness learning phase and implement their own soundscape designs in under an hour. Feedback was positive, suggesting value for its use in public consultations and participatory approaches towards creating healthier, inclusive, and sustainable communities. Could City Ditty be used to help rethink and prototype new forms of virtual libraries? Libraries host a wealth of information and contribute community space. They also act as community hubs for classes, games, storytelling, community events, etc. Yet, digitally reproducing a navigable 3D library space without consideration for the medium will reproduce the inconveniences of existing spaces, while failing to take advantage of the new medium. Could similar methodologies help engage library users to conceptualize together the future of virtual libraries? How might different users want to utilize immersive virtual libraries? We place this discussion in the context of a hype cycle for emerging technologies to understand potential timelines for change.

“They are here. They are everywhere. They are us.” – Posthuman Encounters in Samanta Schweblin’s Little Eyes (2018)

In Little Eyes (2018), the latest technological hype comes in the shape of cute, pet-like robots with cameras for eyes. These so-called kentukis are remotely inhabited and controlled by their human users via an online connection which is established at random. As the novel’s blurb - “They are here. They are everywhere. They are us.” - suggests, a kentuki is at once a familiar and unfamiliar creature and users’ experiences range from comforting to unsettling. The novel revolves around the theme of stranger danger and reports several uncanny encounters between humans and not-quite-humans in places around the world. The representation of these posthuman interactions in the novel remains ambiguous: Even though the potential to challenge or even transgress the human/non-human binary is addressed, the novel follows a classic dystopian narrative, which posits that it is not the technology itself which is inherently good or bad, it is us humans.

Cloud Sustainability: An Analysis and Assessment of the Plateau Prediction of 2023 Gartner Hype Cycle for Emerging Technologies

Cloud Sustainability: An Analysis and Assessment of the Plateau Prediction of 2023 Gartner Hype Cycle for Emerging Technologies

Innovation management model for functional food ingredients and additives. Alignment with hype cycle, Python S-curves, and open innovation variables

ObjectiveThe objective of this article is to generate an innovation management model for organizations in the functional food ingredients and additives sector, based on prioritization of variables, stakeholder consultation, technology surveillance, HypeCycle for emerging technologies and S-curves. Method and analysisA literature review was conducted on innovation management models and associated articles were selected from which the relevant variables. Three surveys were used; one for the statistical analysis of 97 initial variables, prioritizing a total of 32 variables that were the input for survey II; survey III validated a graphical conceptual model of innovation management; the HypeCycle and S-curves Were used to analyze the emergence component as input for open innovation strategies. three possible innovation management models for the sector were validated by stakeholders of an organization in the sector, from a statistical point of view, mode, modal frequency and consensus percentages were used in the 3 surveys and non-linear regression models, T value, P value and Durwin Watson in the calculations of S curves. FindingsFrom the literature review, 97 variables were identified, prioritizing 32 of them by stakeholders in survey one. Excellent, good, average and poor states were generated on these variables in survey two, including analysis of relevance and congruence for each question, the Survey 3 presented three graphic concept models for prioritization, obtaining 1 MGI prioritized for the sector, in the Hypecycle methodology 13 emergency components related to nanoencapsulation were identified, in S curves 13 nonlinear regression models were applied in nanoencapsulation, mixing and drying obtaining inflection points in the years 2016 – 2020 for nanoencapsulation technology, 2020–2030 for mixing and 2033 – 2042 for drying technology. Finally, 7 open innovation platforms with previous innovation challenges in food and agribusiness were identified. ConclusionsThe MGI proposed for the sector under analysis corresponds to a structured one that facilitates the identification, development and commercialization of new ingredients and functional food additives, improving competitiveness and response to market and user demands.Furthermore, the alignment with the Hypecycle or over-expectation cycles with the proposed MGI allowed us to capture how this methodology helps manage the adoption of emerging technologies in nanoencapsulation, mixing and drying. Regarding the analysis variables, the research showed the importance of integrating these variables with external collaborations, such as collective collaboration, and with open innovation platforms, to promote the co-creation and expansion of knowledge in the food ingredients and additives industry. functional in Colombia, the complementary S-curve methodology allowed us to discover that the life cycle of the mixing and drying technology has not reached its inflection point, which constitutes an opportunity for organizations in the sector. This could be validated through of Python libraries and code to validate turning point calculations.This article is relevant to explore new alternatives for the co-development of innovation management models - MGI -, applied to specific sectors taking into account open innovation variables. The novelty of the research lies in the fact that the results obtained, aligned with the prioritization of variables, consultation with stakeholders, technological surveillance, Hypecycle and S-curves, become inputs for specific strategies and challenges of Open Innovation for ingredient and additive industries. functional foods and opportunities for R&D&i activities and projects in this sector.

To the Moon: Hype Cycles and Commitment in a Silicon Valley Start Up

To the Moon: Hype Cycles and Commitment in a Silicon Valley Start Up

To Be or Not to Be: Will Virtual Worlds and the Metaverse Gain Lasting Traction?

Since their beginnings, virtual worlds have experienced two major media hypes in their short lifetime—the first in 2003 after the launch of Second Life and the second in 2021, with Mark Zuckerberg announcing his strategy for the Metaverse. Most academic research on virtual worlds emerged between these two peaks of interest. This article delves into the enduring relevance of such research, contrasting the two hype cycles. It analyzes the reasons behind current caution expressed by companies and offers insights into the future trajectory of the Metaverse and which crucial developments are needed for sustained traction in virtual worlds.

An Innovative Management Framework for Smart Horticulture—The Integration of Hype Cycle Paradigm

An Innovative Management Framework for Smart Horticulture—The Integration of Hype Cycle Paradigm

A Strategy Development Framework for Educational Technology: An integrated Design Science Research and Modified Delphi Approach

Emerging technologies are transforming educational practices, but successful integration requires improving the quality and efficiency of learning. New technology emerges in hype cycles but adoption and performance lag over time. A strategy development framework is needed for decision-makers to understand the complex interaction of all the factors to consider when making new technology investments. The research explores how strategy development occurs through the dynamic interaction of strategy with learning, and technology integration. It analyses the key elements of a strategy map for learning with technology and how they influence each other within the overall strategy map. The research design integrated the different cycles of Design Science Research (DSR) with a modified Delphi Technique in two phases of research. During the first research phase, Delphi panel members were interviewed to understand current challenges and practices in learning with technology. The results of the literature review and thematic data analysis from the interviews were used to create a hypothetical strategy map and a strategy development framework, as an artefact, as part of the DSR process. This framework was shared with Delphi members in the second phase of research, and they were requested to evaluate the framework for its fit and utility in similar contexts of learning with technology. The feedback contributed to the refinement of the artefact and highlighted the key operational focus areas for learning with technology. The key operational focus areas identified were the need to increase the basic technology literacy of students and educators, continuous professional development in terms of online pedagogy, and the need for principles in terms of multimedia design. Other focus areas were an online design blueprint and an improvement in learning and teaching experiences through efficiencies and productivity of ed-tech technologies. This study contributes a strategy development framework for educational technology which enhances theories around the analytical and conceptual processes when planning and implementing new emerging technologies in learning. Analytical processes include external and internal analysis and a SWOT analysis of aspects related to learning with technology. Other key outcomes of the study include a hypothetical strategy map for learning with technology which aligns business objectives to a financial, customer, internal business process and learning and growth perspective.

The journey towards a responsible AI future: Hype, fear and hope

This paper discusses artificial intelligence’s (AI’s) growing prominence in, and impact on, various aspects of our daily lives, with a focus on the financial services industry. It highlights the evolution of use cases in banking against the backdrop of the hype cycle that we are in today and discusses how the technology can be used to streamline operations, increase productivity, drive new business opportunities and improve financial inclusion. It also urges readers to be mindful of the multifaceted impact of the technology and the responsibilities that organisations must bear to ensure reliability, transparency, safety, security, explainability, privacy and fairness. The author emphasises the importance of trust as a cornerstone and advocates for diversity in AI development and data representation to avoid reinforcing biases and inequities in our society. The paper is a call to action for a more thoughtful approach to innovation — urging stakeholders to recognise the shared responsibilities in shaping a human-centric, inclusive and trustworthy future.

AI hype, promotional culture, and affective capitalism

This article centres AI hype within promotional culture. It incorporates scholarship on hype, affect and emotion from media, communications and cultural studies, as well as from market studies, to pose the following questions: ‘What role does promotional culture play in AI hype cycles?’ ‘What are the main promotional forms of emotion evident in the 2020s AI hype cycle?’ And finally, ‘What are the ethical implications of promoting emotion in AI hype cycles?’ The article explores the growth of twenty-first century promotional culture, particularly in the global tech sector, before examining links between promotional culture, emotion, affect, media and capitalism. Drawing on interdisciplinary approaches, the article contends that AI hype has successfully persisted because now, more than ever, contemporary promotional culture strategically deploys emotions as part of affective capitalism, and the affective nature of a digital media infrastructure controlled by the tech sector. The ensuing analysis isolates different emotions circulated by AI hype, including doomsday hype, drawing on examples from the 2020s AI hype cycle. The article concludes by examining the ethics of promotional culture as part of the combined knowledge apparatus supporting value construction in AI.

A Multidisciplinary Look at History and Future of Deepfake With Gartner Hype Cycle

A Multidisciplinary Look at History and Future of Deepfake With Gartner Hype Cycle

Expedition to the blockchain application potential for higher education institutions

In the education sector, blockchain is currently at the end of the peak of inflated expectations in Gartner’s Hype Cycle. Thus, it is crucial to understand whether this technology meets the expectations of Higher Education Institutions (HEIs). We go on an expedition to identify blockchain application scenarios and its potential for HEI administration—the universities are digitalized to just 23.3%.Current information systems research addresses classifications of blockchain-based projects (application level) rather than their technical realization (protocol level). Thus, when evaluating blockchain application scenarios in HEI administration, we intensively consider the technical side of blockchain-based projects. We perform a three-step approach: (1) systematic literature review, (2) qualitative exploratory semi-structured interviews to supplement information on market-ready solutions, and (3) an evaluation of the potential of the blockchain-based projects identified, based on HEI administration requirements.We find that the leading blockchain application scenarios are credential verification and record-sharing. At the protocol level, we obtain equivocal results regarding the technical realization of projects, e.g., their underlying blockchain types and storage models. At the application level, when discussing the potential of different projects, we find that most of them address adaptability, complexity decomposition, and cost reduction requirements between HEIs; interest diversity and stakeholder collaboration between HEIs and business actors; privacy and trust between HEIs and students.

Exploring diverse interests of collaborators in smart cities: A topic analysis using LDA and BERT

Smart cities have emerged as a promising solution to the problems associated with urbanization. However, research that holistically considers diverse stakeholders in smart cities is scarce. This study utilizes data from four types of collaborators (academia, public sector, industry, and civil society actors) to identify key topics and suggest research areas for developing smart cities. We used latent Dirichlet allocation and Bidirectional Encoder Representations from Transformers for topic extraction and analysis. The analysis reveals that sustainability and digital platform have received similar levels of interest from academia, industry, and government, whereas governance, resource, and green space are less frequently mentioned than technology-related topics. Hype cycle analysis, which considers public and media expectations, reveals that smart cities experienced rapid growth from 2015 to 2021, but the growth rate has slowed since 2022. This means that a breakthrough improvement in the current situation is required. Accordingly, we propose resolving the unbalanced distribution of topic interests among collaborators, especially in the areas of governance, environment, economy, and healthcare. We expect that our findings will help researchers, policymakers, and industry stakeholders in understanding which topics are underdeveloped in their fields and taking active measures for the future development of smart cities.

Patient Engagement with Conversational Agents in Health Applications 2016–2022: A Systematic Review and Meta-Analysis

Clinicians and patients seeking electronic health applications face challenges in selecting effective solutions due to a high market failure rate. Conversational agent applications (“chatbots”) show promise in increasing healthcare user engagement by creating bonds between the applications and users. It is unclear if chatbots improve patient adherence or if past trends to include chatbots in electronic health applications were due to technology hype dynamics and competitive pressure to innovate. We conducted a systematic literature review using Preferred Reporting Items for Systematic reviews and Meta-Analyses methodology on health chatbot randomized control trials. The goal of this review was to identify if user engagement indicators are published in eHealth chatbot studies. A meta-analysis examined patient clinical trial retention of chatbot apps. The results showed no chatbot arm patient retention effect. The small number of studies suggests a need for ongoing eHealth chatbot research, especially given the claims regarding their effectiveness made outside the scientific literatures.

Investigating the life cycle of language learning applications: Going beyond the Hype Cycle

As learning is more real and permanent when connected to learners’ private lives beyond the classroom (Godwin-Jones, 2011), mobile-assisted language learning (MALL) has emerged as a good way to support language learning especially in informal contexts. With thousands of language learning applications (apps) becoming available, more and more language learners have started to use them as a support for their language learning. The purpose of this research is to investigate the life cycle of language learning apps and the reasons why learners decide to start, stop and restart using apps to better understand the real situation of the use of the apps. The data collected from a survey of 186 participants with experience of using language learning apps were analyzed. The results showed that the language learning app has three different phases in its life cycle, which are “increasing period”, “decreasing period” and “reviving period” with three turning points. This life cycle is similar to the Hype Cycle, a model describing how a new technology develops. Furthermore, the reasons behind the three turning points were also discussed. Influence from teachers and friends was the most significant one among factors contributing to starting using apps; the reasons for abandoning apps can be divided into app-related ones such as dissatisfaction of apps and learner-related ones such as stop learning a language; restarting to learn a language is the major reason for participants who chose to use apps again. The results also revealed that language learners had a positive attitude towards language learning apps, while the high abandoned rate of using apps also indicated that both apps and learning patterns could be improved if teachers can provide more sufficient and appropriate guidance to support the selection and use of apps, and app-designers can include more meaningful and interactive activities rather than just providing drills.

Adopting Gartner’s hype cycles to investigate the lifespan of computer assisted language learning from EFL learners' perspectives

It is crucial to study how L2 learners use technology when examining the lifespan technology in L2 pedagogy. Therefore, we adopted Gartner’s hype cycles to investigate the lifespan of CALL from the perspectives of EFL learners. To this end, we utilized an explanatory narrative design and gathered and analysed the perspectives of 87 EFL learners regarding the CALL lifespan using autobiographical narratives and semi-structured interviews. The results of the deductive thematic analysis presented motivating and demotivating factors that were asserted to affect EFL learners’ uptake of CALL technologies. Moreover, the findings revealed that EFL learners had fallacies about CALL in the first stages of using technology for L2 learning and tended to reduce those fallacies later on. Therefore, it can be concluded that EFL learners start their use of CALL with some misconceptions stemming from the motivating factors of CALL, continue their use of CALL by facing some demotivating factors originating from fallacies about CALL that they have already committed, and finalise their use of CALL by exploring about CALL features that help them avoid their fallacies. The study has implications to shorten the time of reaching the awareness zone by the L2 learners.

Global visions for a metaverse

There is a growing effort to locate metaverse developments within the purview of platform research. However, the majority of English-language studies take Horizon Worlds, Meta's US-centric prototype of a metaverse, as the starting point. This critical reflection argues that since the fate of the metaverse is far from settled, and its building blocks exist in a colorful array of global visions, we need to divorce discourses of the metaverse from Meta's hype cycle and multiply our frames of reference by engaging with international developments. In turn, this article proceeds by scoping out metaverse visions emanating from different parts of the world and drawing out common themes as entry points for future research. This article contributes to a re-orientation of metaverse studies toward critical and embodied global perspectives of socio-cultural production, while simultaneously reconsidering the very notion of the metaverse as a platform.

3D Printed Prostheses: The Path from Hype to Reality.

3D printing has an over forty-year history but has only become popular in the last fifteen years with the expiration of restrictive patents which allowed open access and unfettered innovation by a broad range of technology developers. During the last decade interest in prostheses made by 3D printing has grown in popularity. The interest in devices has followed the Gartner Hype Cycle as 3D printing companies and associated organizations have used popular claims about 3D printed prostheses to increase their own company's popularity. These claims created unrealistic expectations which outran the early-stage limitations of the technology, causing disillusion. Currently, the industry is moving beyond these limitations and the field seems to be advancing at a sustainable rate. This article provides an understanding of the history of popular misconceptions surrounding the technology. It provides a basis for separating the myth from reality in 3D printing technology so the reader can question the popular preconceived ideas and find the real value. With a greater understanding of the past, one can apply lessons to present technology use and guide the direction of future 3D printing. This paper will also discuss lessons applicable to both high and low-income countries along with providing recommendations for the future development.

Technology hype, promises, and expectations: The discussion on small modular reactors in the Finnish newspaper ‘Helsingin Sanomat’ in 2000–2022

While the construction of collective promises is vital to the success of any techno-scientific innovation, it also entails the risk of overpromising and cycles of hype and disappointment. This article explores the discursive construction of the nuclear sector’s latest promise concerning small modular reactors (SMRs), using Finland as an example. It provides a brief overview of the Finnish context of SMR development and analyzes it's coverage in the leading Finnish daily newspaper Helsingin Sanomat 2000–2022. Efforts at promise construction have so far been aimed at building legitimacy for SMRs, while strengthening credibility – another key element of successful promise construction – has only just begun. The increasing number of SMR-related articles indicates a growing hype, but the absence of a corresponding ‘hype language’ suggests that the considerable media attention does not automatically translate into emphatic media coverage and discursive hyping.