Online digital library searchers who find themselves engaged in multiple concurrent complex search tasks may encounter potentially serendipitous information for one task while pursuing another. This can propel them in unexpected and exciting directions that enhance their knowledge. However, existing search interfaces provide limited support for searchers to handle such serendipitous information encounters, forcing them into an often disruptive choice between continuing their current search or pursuing the new discovery. To address this issue, we introduce Revelio: an academic digital library search interface based on a ‘save now, organize later’ workflow. Revelio provides a low-effort mechanism for deferring potentially serendipitous information encounters, and a semantic similarity approach for subsequently reviewing and saving such search results within a multi-workspace structure. We evaluated Revelio in a between-subjects controlled study with 28 participants using a novel experimental design that creates the opportunity for serendipitous information encounters within a concurrent complex academic search task context. Compared to those who used a baseline search interface, participants who used Revelio were able to effectively defer and subsequently review encountered information, resulting in positive opinions about the interface, increased performance in both prescribed search tasks, and greater perceived knowledge gain. These findings demonstrate the value of search interfaces that explicitly support the deferral and subsequent review of potentially serendipitous information.

LLMs have great potential for shaping how people find and understand information. However, current tools can struggle to provide authoritative sources, fabricate plausible references, and present obstacles to assessing truthfulness of their outputs. Understanding how users verify LLM outputs is particularly important in scholarly disciplines where information produced becomes the foundation of future knowledge. We investigated the factors that influence academic researchers’ decisions to verify LLM responses, their verification strategies, and the effectiveness of those strategies. We conducted a naturalistic think-aloud study, followed by a semi-structured interview, where we observed 16 researchers across disciplines using LLMs of their choice to conduct a research information-seeking task. Our findings highlight that prevailing LLM design can hamper users’ ability to satisfy their information needs for several reasons, such as lack of transparency about sources used in LLM outputs and lack of faithfulness of LLM outputs to the source. Based on these findings, we discuss how future LLMs can better support users in effective verification.

In a world where misinformation is abundant, and conspiracy theorists urge others to 'do their own research’, how do people use evidence in online discussions? What types of evidence do they provide, and for what purpose? Decades of human information interaction research has focused on making it easy to share and discuss information online; and decades of information literacy research have examined how to promote critical thinking and evaluation. However, there is a lack both of systematic analyses of evidence use in online discussions, and the ways community norms affect use of evidence in those discussions. We present a mixed methods analysis of the use of three formats of external evidence (images, links, and direct quotation by using blockquotes) across three Reddit communities with very different norms. One focuses on promoting conspiracy theories, another on debunking them, and a third on personal view change. We investigate the use of these evidence formats within and between communities to understand how evidence is used in different kinds of conversation. Our findings support the design of online information tools that promote good evidentiary practice.

Qualitative research is essential for how people interact with information and informing the design of interactive information retrieval systems. However, it is often challenging to do well. There are a plethora of possible approaches, often complementary but sometimes at odds with each other and combining quantitative and qualitative approaches to data collection adds further complexity. In this tutorial, focusing on qualitative data collection approaches, we will provide attendees with a comprehensive toolkit of CHIIR-relevant qualitative methods, including interviews and both naturalistic and ‘in the wild’ observations. We will also support development of an agile skillset so attendees can adopt or adapt qualitative approaches to meet their research aims. We will cover a core of flexible, proven and rigorous practice that will provide a thorough grounding in how to plan and conduct high-quality rigorous research. The tutorial leaders come from different backgrounds and can provide insight into how to use qualitative methods for attendees from all disciplinary origins. On completion of the tutorial, you will be able to plan and conduct rigorous qualitative investigations into how people interact with information, with potential to result in high-impact information interaction research.

Novel short video platforms such as TikTok and Instagram Reels often entertain, can inform and may persuade. Recent human-information interaction research has demonstrated the potential for information encounters on social media to sow the seeds of view change. However, little research has examined the role of this new type of social media platform in view change. To examine this role, we conducted a two-week diary study, followed by interviews, with 12 regular users of TikTok and Instagram Reels. All participants reported viewing videos that influenced their views. They predominantly passively encountered these videos on their personalized feeds, rather than actively seeking them. Content verification was limited, with many participants voicing (potentially misplaced) trust in influencers and accessible experts. Reassuringly though, some participants demonstrated a higher level of critical engagement. Overall, our findings highlight the strong persuasive power of short video platforms and the risk they may be used to misinform or manipulate. Based on our findings, we discuss key implications for research and platform design.

Although 1 person in 14 has dyslexia, most search interfaces are designed based on a ‘one-size-fits-all’ approach, creating inequity for neurodiverse searchers. This is also the case for mobile search, which accounts for most Google searches. While existing research has found search typically presents greater challenges for people with dyslexia, no prior work has examined how best to support them when searching on mobile devices. Rather than focus on addressing their search difficulties, we adopted an ability-based design approach. This involved designing a prototype, based on modifications to Google's mobile SERPs, aimed at enhancing their abilities – identified through interviews and observations with mobile searchers with dyslexia. A user evaluation found several of the modifications were useful; they supported searchers with dyslexia in making relevance judgements and boosted their resilience and self-efficacy. This research provides valuable insight into how to better support mobile searchers with dyslexia that can inform IIR research and design. It also demonstrates the potential of ability-based design approaches in supporting neurodiverse searchers.

Abstract Information is powerful; it can influence peoples' views and, in turn, their behavior. Much recent research and discussion on the role information plays in view change has focused on filter bubbles, echo chambers and misinformation and how they might influence what people think and how they act. However, no prior work has focused specifically on understanding the human information behavior (HIB) that drives and facilitates view change. We report findings from interviews with 18 people who recently changed views on issues they considered important. We found a tight symbiotic relationship between HIB and view change; passive information encountering sparked change, often spurring follow‐up active seeking and verification which progressed the change to a “point of no return,” supported making the change and reinforced the decision to change. When shared, information that contributed to the change sometimes sparked changes in others (as did expressing or debating the change), serving as an information encounter that perpetuated a cycle of HIB and view change. This understanding of the integral role of HIB in view change can inform policy and systems design to promote view change autonomy and a broader research agenda of understanding HIB to support democratic principles and values.

There is a longstanding tradition of understanding information needs and interaction behavior across different user groups to inform the design of digital products and services. There is a gap in such research of comics readers, specifically how they seek and interact with the information and interfaces of web-based archives provided by cultural institutions. For example, while information interaction research has now recognized that information-seeking for leisure and pleasure are important domains of study - consuming information based in fiction can help us escape to exciting worlds by captivating narratives - and while there have been studies of how people find fiction to read, there have to our knowledge been no user-centered studies on how people find and consume digital comics. This exploratory study provides an enriched understanding of the information needs and interaction behaviors of digital comics readers and how that understanding can inform the design of digital platforms to better support them.

Qualitative research is a fundamental part of investigating information interactions, but is often challenging to do well. There are contesting theories and approaches, and combining quantitative and qualitative work adds further complexity to qualitative research. In this tutorial, we provide attendees with a comprehensive toolkit of qualitative methods. We will cover a core of flexible, proven and rigorous practice that will give even a novice a thorough grounding in the decisions and approaches to develop high-quality rigorous research. The tutorial leaders come from different backgrounds, and can provide insight into how to adopt qualitative methods whatever your own disciplinary origins. On completion of the tutorial, you will be able to design and execute sound qualitative investigations that lead to high-impact information interaction research.

Online misinformation is a fiendish problem. Demonstrably false information propagates faster and more widely than truth and this has heralded a technological arms race. One possible mechanism for addressing misinformation is social: there is evidence seeing misinformation being challenged can ‘inoculate’ a reader against it. To date, no research has examined how discussions sparked by misinformation play out; What are the different ways in which people reply to posts containing misinformation? How does the discussion flow in each case? Are there differences between platforms? We address these questions through an inductive qualitative analysis of discussion threads on three public discussion platforms (Twitter, YouTube and two news sites) and on three topics (COVID, Brexit and climate change). We present a classification scheme of types of replies to misinformation, and show that replies show different patterns between platforms. Knowing how people reply to posts that contain misinformation enriches our knowledge of ‘human misinformation interaction,’ and provides an understanding of how socio-technical factors in platform design can reduce the risk of misinformation spreading.

It is a ‘truth universally acknowledged’ that people prefer to minimize encounters with information they disagree with and ignore it where they find it. Algorithms purportedly support this avoidance by creating filter bubbles filled only with agreeable information potentially increasing polarisation and undermining democracy. How accurate is this portrayal, though? Recent research has begun to cast doubt. We challenge these assumptions and report a two-phase analysis of filter bubble-bursting behavior. The first phase reports novel incidental findings from an interview study on the role of information interaction in view change. Participants demonstrated a clear interest in a diversity of information, including information specifically opposed to their own views. The second phase reports findings from a diary study specifically designed to investigate people's interactions with information that reflected a different view to theirs. We examine how people found disagreeable information, how they responded to it and the factors affecting their responses. We find that people will sometimes actively seek and engage with disagreeable information, rather than avoid and ignore it. Our findings pave the way for future information interfaces that support this previously undiscussed information interaction.

Abstract This empirical study offers a new theoretical perspective in information behavior research by identifying interrelationships between certain information behaviors. While previous work recognizes the iterative nature of information acquisition, information behavior research has so far been dominated by the identification and conceptual elaboration of discrete behaviors. We introduce the theoretical concept of “information behavior patterns” to characterize the intricate connectedness of information interaction in an arts and crafts context. A qualitative study comprising naturalistic observation and semi‐structured interviews with 20 arts and crafts hobbyists was conducted in two “browse‐first” information environments that support various forms of active and passive information acquisition: Pinterest and a brick‐and‐mortar crafts store. Findings revealed a variety of information behavior patterns across both environments. We illustrate several of these through in‐depth discussions of two specific information acquisition sessions. We visualize observed patterns from these sessions to illustrate the interweaving of active, passive acquisition, and personal goals. Our findings demonstrate the complex interconnectedness of human information behavior, highlighting the importance of going beyond compartmentalizing behaviors into “buckets” when trying to understand the complex, dynamic, and evolving nature of information interaction.

Abstract Creativity and verification are intrinsic to high‐quality journalism, but their role is often poorly visible in news story creation. Journalists face relentless commercial pressures that threaten to compromise story quality, in a digital era where their ethical obligation not to mislead the public has never been more important. It is therefore crucial to investigate how journalists can be supported to produce stories that are original, impactful, and factually accurate, under tight deadlines. We present findings from 14 semistructured interviews, where we asked journalists to discuss the creation of a recent news story to understand the process and associated human information behavior (HIB). Six overarching behaviors were identified: discovering, collecting, organizing, interrogating, contextualizing, and publishing. Creativity and verification were embedded throughout news story creation and integral to journalists' HIB, highlighting their ubiquity. They often manifested at a micro level; in small‐scale but vital activities that drove and facilitated story creation. Their ubiquitous role highlights the importance of creativity and verification support being woven into functionality that facilitates information acquisition and use in digital information tools for journalists.

Despite the prevalence of dyslexia and the challenges it poses for seeking, assessing and using information, there has been relatively little research on the challenges people with dyslexia face when interacting with information. What existing research there is has mostly focused on the impact on information comprehension and spelling. However, people with dyslexia often face considerable memory impairment that can affect their learning. This paper reports findings from retrospective think-aloud (RTA) observations with 13 undergraduates with dyslexia, focusing on the memory-related barriers they face and the workarounds they use to overcome these barriers. An enhanced understanding of the full range of barriers faced by information-seekers with dyslexia can inform the design of dyslexia-aware digital information environments and information literacy programs. These can 'level the information playing field' by helping to break down barriers to information and, in turn, to knowledge creation.

While computers causing chaos is a common social trope, nearly the entirety of the history of computing is dedicated to generating order. Typical interactive information retrieval tasks ask computers to support the traversal and exploration of large, complex information spaces. The implicit assumption is that they are to support users in simplifying the complexity (i.e. in creating order from chaos). But for some types of task, particularly those that involve the creative application or synthesis of knowledge or the creation of new knowledge, this assumption may be incorrect. It is increasingly evident that perfect order-and the systems we create with it-support highly-structured information tasks well, but provide poor support for less-structured tasks. We need digital information environments that help create a little more chaos from order to spark creative thinking and knowledge creation. This paper argues for the need for information systems that offer what we term 'bounded chaos', and offers research directions that may support the creation of such interfaces

There has been considerable hype about filter bubbles and echo chambers influencing the views of information consumers. The fear is that these technologies are undermining democracy by swaying opinion and creating an uninformed, polarised populace. The literature in this space is mostly techno-centric, addressing the impact of technology. In contrast, our work is the first research in the information interaction field to examine changing viewpoints from a human-centric perspective. It provides a new understanding of view change and how we might support informed, autonomous view change behaviour. We interviewed 18 participants about a self-identified change of view, and the information touchpoints they engaged with along the way. In this paper we present the information types and sources that informed changes of viewpoint, and the ways in which our participants interacted with that information. We describe our findings in the context of the techno-centric literature and suggest principles for designing digital information environments that support user autonomy and reflection in viewpoint formation.

Abstract This debut curated “virtual special issue” of JASIST is on the theme of “information informing design.” It comprises several excellent scholarly research articles previously published in JASIST with important implications for the design of digital information environments. It covers articles that motivate the need for Information Science research to inform design and those that have empirically examined information‐related concepts such as information behavior, practices, interaction, and experience and, based on their findings, proposed recommendations or posed questions for design. This article argues that as JASIST exists at the intersection between information, systems, and users, it is natural to want to understand how people engage with information to inform design and, by doing so, Information Science research can build bridges between Information Science and computing disciplines and make contributions that transcend its discipline boundaries. It argues that Information Science research not only has the potential but also the duty to inform the design of future digital information environments.

Information encountering (IE) often occurs during active information seeking and involves passively finding unsought, unexpected information that is subjectively considered interesting, useful, or potentially useful. While the idealized IE process involves engaging with information after noticing it (for example, by examining it, conducting follow‐up seeking to determine usefulness, then using or sharing it), the process can be disrupted—resulting in missed opportunities for knowledge and insight creation. This study provides a detailed understanding of when and why the process can be disrupted. Think‐aloud observations and Critical Incident Interviews were conducted with 15 web users, focusing on examining when they encountered information but did not engage with it. Factors that discouraged engagement and simultaneously encouraged participants to return to active, goal‐directed information seeking by disrupting the IE process were identified. These factors individually and collectively demonstrate that IE can instigate a highly uncertain cost–benefit trade‐off, sometimes resulting in encounterers being cautious by returning to “less risky” active seeking. Design suggestions are made for reducing the uncertainty of deciding whether to engage with encountered information and making it easier to return to the active seeking task if disruption occurs.

Gratitude is a fundamental aspect of social interaction that positively influences emotional and social well‐being. It is also crucial for promoting online community health by motivating participation. However, how gratitude occurs and can be encouraged in online communities is not yet well understood. This exploratory study investigated how online community users experience gratitude, focusing on how gratitude expression and acknowledgment occurs, can break down or can be reinforced. Semistructured Critical Incident interviews were conducted with 8 users of various online communities, including discussion and support groups, social Q&A sites, and review sites, eliciting 17 memorable examples of giving and receiving thanks online. The findings gave rise to a process model of gratitude in online communities—the “gratitude cycle,” which provides a detailed, holistic understanding of the experience of gratitude online that can inform the design of online community platforms that aim to motivate users to perpetuate the cycle. An enriched understanding of gratitude in online communities can help ensure future platforms better support the expression and acknowledgment of thanks, encouraging participation.

Information interactions are strongly affected by the place where they occur. Specific locations are often associated with searches on particular topics, and individual users perform different tasks in habituated places. A classic example of habituated space is the commuter who regularly reads the news on the train. This paper investigates these associations through four user studies that examine different uses of place in information interaction. Through this, we reveal the ways in which the location of information interactions makes them effective or ineffective. This extends our interpretation of the role of place in information interaction beyond established foci such as location-based search.

Human Information Behavior (HIB) research commonly examines behavior in the context of why information is acquired and how it will be used, but usually at the level of the work or everyday‐life tasks the information will support. HIB has not been examined in detail at the broader contextual level of intellectual purpose (that is, the higher‐order conceptual tasks the information was acquired to support). Examination at this level can enhance holistic understanding of HIB as a “means to an intellectual end” and inform the design of digital information environments that support information interaction for specific intellectual purposes. We investigate information‐based ideation (IBI) as a specific intellectual information acquisition and use context by conducting Critical Incident‐style interviews with 10 game designers, focusing on how they interact with information to generate and develop creative design ideas. Our findings give rise to a framework of their ideation‐focused HIB, which systems designers can leverage to reason about how best to support certain behaviors to drive design ideation. These findings emphasize the importance of intellectual purpose as a driver for acquisition and desired outcome of use.

The physical library shelves are regularly the site of serendipitous information discoveries, and are often sought out for this purpose. However, while some drawbacks to the shelves as information gateways have been documented, none to our knowledge relate to their capacity for facilitating serendipity. We present findings from a qualitative study of serendipity at the library shelves. This study uncovered a new drawback that we term the "seeking-encountering tension". On one hand, this tension entices people towards the relatively high-risk, high-reward activity of exploring new information avenues discovered serendipitously and, on the other, draws them back towards the relative safety of goal-directed information-seeking. We discuss some of the factors that contribute to this tension, and provide design suggestions for mitigating it. Understanding this tension can inform the design of physical and digital information environments that provide users the agency to switch between more and less focused information-seeking at will.

An increasing number of tools are being developed to help academics interact with information, but little is known about the benefits of those tools for their users. This study evaluated academics' receptiveness to information proposed by a mobile app, the SerenA Notebook: information that is based in their inferred interests but does not relate directly to a prior recognized need. The evaluated app aimed at creating the experience of serendipitous encounters: generating ideas and inspiring thoughts, and potentially triggering follow‐up actions, by providing users with suggestions related to their work and leisure interests. We studied how 20 academics interacted with messages sent by the mobile app (3 per day over 10 consecutive days). Collected data sets were analyzed using thematic analysis. We found that contextual factors (location, activity, and focus) strongly influenced their responses to messages. Academics described some unsolicited information as interesting but irrelevant when they could not make immediate use of it. They highlighted filtering information as their major struggle rather than finding information. Some messages that were positively received acted as reminders of activities participants were meant to be doing but were postponing, or were relevant to ongoing activities at the time the information was received.

Serendipity occurs when unexpected circumstances and an “aha” moment of insight result in a valuable, unanticipated outcome. Designing digital information environments to support serendipity can not only provide users with new knowledge, but also propel them in directions they might not otherwise have traveled in—surprising and delighting them along the way. As serendipity involves unexpected circumstances it cannot be directly controlled, but it can be potentially influenced. However, to the best of our knowledge, no previous work has focused on providing a rich empirical understanding of how it might be influenced. We interviewed 14 creative professionals to identify their self‐reported strategies aimed at increasing the likelihood of serendipity. These strategies form a framework for examining ways existing digital environments support serendipity and for considering how future environments can create opportunities for it. This is a new way of thinking about how to design for serendipity; by supporting the strategies found to increase its likelihood rather than attempting to support serendipity as a discrete phenomenon, digital environments not only have the potential to help users experience serendipity but also encourage them to adopt the strategies necessary to experience it more often.

Abstract Architectural design projects are heavily reliant on electronic information seeking. However, there have been few studies on how architects look for and use information on the Web. We examined the electronic information behavior of 9 postgraduate architectural design and urban design students. We observed them undertake a self‐chosen, naturalistic information task related to one of their design projects and found that although the architectural students performed many similar interactive information behaviors to academics and practitioners in other disciplines, they also performed behaviors reflective of the nature of their domain. The included exploring and encountering information (in addition to searching and browsing for it) and visualizing/appropriating information. The observations also highlighted the importance of information use behaviors (such as editing and recording) and communication behaviors (such as sharing and distributing) as well as the importance of multimedia materials, particularly images, for architectural design projects. A key overarching theme was that inspiration was found to be both an important driver for and potential outcome of information work in the architecture domain, suggesting the need to design electronic information tools for architects that encourage and foster creativity. We make suggestions for the design of such tools based on our findings.

Abstract Information behavior (IB) research involves examining how people look for and use information, often with the sole purpose of gaining insights into the behavior displayed. However, it is also possible to examine IB with the purpose of using the insights gained to design new tools or improve the design of existing tools to support information seeking and use. This approach is advocated by David Ellis who, over two decades ago, presented a model of information seeking behaviors and made suggestions for how electronic tools might be designed to support these behaviors. Ellis also recognized that IBs might be used as the basis for evaluating as well as designing electronic resources. In this article, we present the IB evaluation methods. These two novel methods, based on an extension of Ellis's model, use the empirically observed IBs of lawyers as a framework for structuring user‐centered evaluations of the functionality and usability of electronic resources. In this article, we present the IB methods and illustrate their use through the discussion of two examples. We also discuss benefits and limitations, grounded in specific features of the methods.

Abstract A user's understanding of the libraries they work in, and hence of what they can do in those libraries, is encapsulated in their “mental models” of those libraries. In this article, we present a focused case study of users' mental models of traditional and digital libraries based on observations and interviews with eight participants. It was found that a poor understanding of access restrictions led to risk‐averse behavior, whereas a poor understanding of search algorithms and relevance ranking resulted in trial‐and‐error behavior. This highlights the importance of rich feedback in helping users to construct useful mental models. Although the use of concrete analogies for digital libraries was not widespread, participants used their knowledge of Internet search engines to infer how searching might work in digital libraries. Indeed, most participants did not clearly distinguish between different kinds of digital resource, viewing the electronic library catalogue, abstracting services, digital libraries, and Internet search engines as variants on a theme.