Responsible Epistemic Technologies: A Social-Epistemological Analysis of Autocompleted Web Search

Information providing and gathering increasingly involve technologies like search ‎engines, which actively shape their epistemic surroundings. Yet, a satisfying account ‎of the epistemic responsibilities associated with them does not exist. We analyze ‎automatically generated search suggestions from the perspective of social ‎epistemology to illustrate how epistemic responsibilities associated with a ‎technology can be derived and assigned. Drawing on our previously developed ‎theoretical framework that connects responsible epistemic behavior to ‎practicability, we address two questions: first, given the different technological ‎possibilities available to searchers, the search technology, and search providers, ‎who should bear which responsibilities? Second, given the technology’s ‎epistemically relevant features and potential harms, how should search terms be ‎autocompleted? Our analysis reveals that epistemic responsibility lies mostly with ‎search providers, which should eliminate three categories of autosuggestions: those ‎that result from organized attacks, those that perpetuate damaging stereotypes, and ‎those that associate negative characteristics with specific individuals.‎

An investigation into trust and security in the mandatory and imposed use of financial ICTs upon older people

Care needs to be taken to reduce the number of people who are fearful and mistrustful of using ICT where that usage is forced upon them without choice or alternative. The growing incidence of mandatory and imposed online systems can result in confusion, misuse, fear, and rejection by people with only rudimentary ICT skills. A cohort where a high percentage of such people occur is older people, defined in this study as people over the age of 60 Examples of compulsory ICT interactions include some banks limiting bank statement access through online rather than paper-based options. Other examples include the purchase of theatre or sports events tickets through ticketing systems that require an online transaction to take place. Increasingly, people are living beyond the normal retiring age. As the older cohort increases in size and in overall global population percentage, the problem of forced technology usage affects technology acceptance, technology trust, and technology rejection. People care about ICT systems where reduced trusted acceptance of technology reduces the advantages of digital health care, the perceived security of banking and shopping, and the autonomy of ICT-driven lifestyle choices. This study aims to solve one of the puzzles of ICT-driven change, where older people can show trepidation towards using technology. By understanding the drivers that influence the choices older people make in relation to ICT systems, it may be possible to introduce a much higher level of trusted acceptance in ICT systems. Although many people adopt ICTs into their lives, many older people face difficulty in using technology when it is forced upon them. This study aims to understand the connection between how choice (or lack of choice) can lead to the rejection or resistance towards ICT usage. Older people sometimes opt towards practices that place themselves at risk of financial or informational disadvantage. This study used a qualitative approach to understanding the factors that influenced the trusted acceptance, trepidation, and in some cases rejection of ICT usage by interviewing a sample of older people. Participants were asked to consider a wide range of ICT-usage scenarios and to describe their intentions. The study focussed on circumstances where ICT usage fell under either mandatory, imposed, or voluntary conditions in order to compare user behaviour. Settings included a range of technology-reliant states that examined IT security, volition and choice, aging, trusted acceptance, and technology adoption. Participants were interviewed to discover and sort the conditions (whether singly or in combination) under which the expectation of ICT acceptance was in some way altered, diminished, or prevented. This research found that older people made poor decisions when the choice to use a technology was replaced with a mandatory or strongly imposed pathway. Mandatory ICT usage across the broad area of financial transactions brought about widespread fear and distrust of online technology usage. The results revealed that many older people not only find these innovations daunting and confronting, but they also have difficulty placing their trust in ICT systems and applications that have become mandatory. In normative conditions, increased ICT acceptance and ICT usage is expected. When ICTs are mandatory in their usage, acceptance is replaced with compulsory procedure. This does not mean that mandatory things cannot be accepted, but rather that older people will accept the need to use a technology according to their perception of what is necessary for their daily and routine interactions. This study showed that voluntary ICT usages including choices increase informed decision-making, security of online financial interactions, and trusted reliance upon ICTs. Choice in ICT usage carries greater trust than mandatory, obligated, or heavily imposed ICTs. The study revealed that mandatory ICT systems can create perceptions of fear, mistrust and uncertainty. In situations where a mandatory ICT system becomes the normative method of transaction, a strong risk to the trusted acceptance of a technology is not merely the lack of ICT-based choice, but also the inability to gain reassurance or secondary confirmation through either face to face or telephone-based communication. Trust in not just the usage, but the implied secure usage of mandated and imposed ICTs, is problematic for older people. This study revealed the significance of mandated ICT systems that limit choices for people, because older humans more readily validate and associate their trust in new innovations when they can access various different professional, technical, peer-based, social and popular opinions. The research also showed that older people are fearful and less trusting in mandatory and imposed systems because they have less financial resilience, and less opportunity to bounce back from loss and disadvantage brought about by digital and online interactions. Older people were worried and reluctant to accept technology at first glance because they knew that they had spent more time than others in a pre-internet, pre-digital environment, and their seminal life experiences are correspondingly less technology-related. The results showed that many older people preferred human communication and interaction rather than communicating, buying, paying, and trusting in purely digital, ICT-based experiences. This demonstrated a gap in the trust and security of digital systems, and the need to address those ICTs that impose and mandate instruments and procedures for daily life. Specifically this study looked at what could reduce unsafe and insecure banking practices by understanding the role of choice in the trusted usage of ICT systems. This study is significant because it shows that older people make financial and social, decisions under reactionary, insecure, and under-informed conditions as a result of a gap in terms of trust security and choice. On the one hand older people develop trust towards a new innovation based on accumulated human discussion, information and reputation. On the other hand older people hold the perception that online systems offer reduced choices. This study led to the development of a model for trusted technology choice (TTCM). It differs from traditional acceptance and diffusion thinking, by having outputs as either ICT acceptance or ICT rejection. It diverges from diffusion and technology acceptance models (TAM), because technology acceptance is not regarded as a foregone conclusion. Instead, it places a very high value upon choice and volition, trust, security and human interaction. The TTCM model, together with a framework for identifying volition barriers, provides a different set of criteria for understanding the needs of older people and their meaningful interactions with new innovation and ICTs. The practical applications for using such a model directly impact upon financial and social stability for older people. Where choices are either removed or limited due to ICT usage, older citizens are unfairly disadvantaged. A model that accurately predicts the trusted usage of ICT innovations can have a widespread effect on the implementation of large-scale public and private systems where the trusted acceptance (or rejection) of each system has on flow impact on financial, health, and other critical services that include the growing population of older people

Understanding modes of dwelling: A transdisciplinary approach to phenomenology of landscape

This transdisciplinary PhD addresses the research question: Can some form of phenomenology provide an effective over-arching paradigm for transdisciplinary research in ethnophysiography? Ethnophysiography studies the way people within a language community conceptualise natural landscape, including terms for landscape features and toponyms (placenames). Dwelling involves conceptualisations and affects regarding physical, utilitarian, cultural, spiritual and ethical relationships with landscape. A key achievement is development of an enhanced ethnophysiography case study methodology, supporting the Ethnophysiography Descriptive Model (EDM). Summary phenomenographic tables were prepared from literature reviews of ethnophysiography, transdisciplinarity, phenomenology, concepts of place and relationships with place. The use of tables, summarising key results of literature reviews (via a phenomenographic approach), is integral to the methodology, to operationalize transdisciplinarity. Some tables are utilised in the PTM-ECS, facilitating identification of relevant issues, collection of appropriate data, and hermeneutic analysis processes. To facilitate comparison of landscape terms and toponyms between languages, the EDM was developed and tested. A key contribution is interpretation of the phenomenological concepts of ‘lifeworld’, ‘topology’ and ‘habitus’. Creation of landscape, as place, involves synergistic integration, in a non-deterministic and emergent manner, of the physical attributes of an area of topographic environment (terrain and ecosystem) with the socio-cultural characteristics of a group of people (including linguistic and spiritual aspects). This produces a particular topo-socio-cultural-spiritual mode-of-dwelling (topology). A partial trial of the new methodology is provided, via an ethnophysiography case study with Manyjilyjarra Aboriginal people in Australia’s Western Desert (undertaken by this author with linguist Clair Hill). It demonstrates how the adopted approach facilitates understanding of traditional forms of dwelling and how this relates to Jukurrpa (The Dreaming), the law, lore and social structure of their society. Review of research processes indicates they effectively utilised key features of transdisciplinarity. A summary of the findings, their potential application, a statement of research limitations, and proposals for further research, are provided

Managing the Paradox of Growth in Brand Communities Through Social Media

The commercial benefits of online brand communities are an important focus for marketers seeking deeper engagement with increasingly elusive consumers. Managing participation in these socially bound brand conversations challenges practitioners to balance authenticity towards the community against corporate goals. This is important as social media proliferation affords communities the capacity to reach a scale well beyond their offline equivalents and to operate independently of brands. While research has identified the important elements of engagement in brand communities, less is known about how strategies required to maximise relationships in these circumstances must change with growth. Using a case study approach, we examine how a rapidly growing firm and its community have managed the challenges of a maturing relationship. We find that, in time, the community becomes self-sustaining, and a new set of marketing management strategies is required to move engagement to the next level

Managing the Paradox of Growth in Brand Communities Through Social Media

The commercial benefits of online brand communities are an important focus for marketers seeking deeper engagement with increasingly elusive consumers. Managing participation in these socially bound brand conversations challenges practitioners to balance authenticity towards the community against corporate goals. This is important as social media proliferation affords communities the capacity to reach a scale well beyond their offline equivalents and to operate independently of brands. While research has identified the important elements of engagement in brand communities, less is known about how strategies required to maximise relationships in these circumstances must change with growth. Using a case study approach, we examine how a rapidly growing firm and its community have managed the challenges of a maturing relationship. We find that, in time, the community becomes self-sustaining, and a new set of marketing management strategies is required to move engagement to the next level

Modelling search and stopping in interactive information retrieval

Searching for information when using a computerised retrieval system is a complex and inherently interactive process. Individuals during a search session may issue multiple queries, and examine a varying number of result summaries and documents per query. Searchers must also decide when to stop assessing content for relevance - or decide when to stop their search session altogether. Despite being such a fundamental activity, only a limited number of studies have explored stopping behaviours in detail, with a majority reporting that searchers stop because they decide that what they have found feels "good enough". Notwithstanding the limited exploration of stopping during search, the phenomenon is central to the study of Information Retrieval, playing a role in the models and measures that we employ. However, the current de facto assumption considers that searchers will examine k documents - examining up to a fixed depth. In this thesis, we examine searcher stopping behaviours under a number of different search contexts. We conduct and report on two user studies, examining how result summary lengths and a variation of search tasks and goals affect such behaviours. Interaction data from these studies are then used to ground extensive simulations of interaction, exploring a number of different stopping heuristics (operationalised as twelve stopping strategies). We consider how well the proposed strategies perform and match up with real-world stopping behaviours. As part of our contribution, we also propose the Complex Searcher Model, a high-level conceptual searcher model that encodes stopping behaviours at different points throughout the search process. Within the Complex Searcher Model, we also propose a new results page stopping decision point. From this new stopping decision point, searchers can obtain an impression of the page before deciding to enter or abandon it. Results presented and discussed demonstrate that searchers employ a range of different stopping strategies, with no strategy standing out in terms of performance and approximations offered. Stopping behaviours are clearly not fixed, but are rather adaptive in nature. This complex picture reinforces the idea that modelling stopping behaviour is difficult. However, simplistic stopping strategies do offer good performance and approximations, such as the frustration-based stopping strategy. This strategy considers a searcher's tolerance to non-relevance. We also find that combination strategies - such as those combining a searcher's satisfaction with finding relevant material, and their frustration towards observing non-relevant material - also consistently offer good approximations and performance. In addition, we also demonstrate that the inclusion of the additional stopping decision point within the Complex Searcher Model provides significant improvements to performance over our baseline implementation. It also offers improvements to the approximations of real-world searcher stopping behaviours. This work motivates a revision of how we currently model the search process and demonstrates that different stopping heuristics need to be considered within the models and measures that we use in Information Retrieval. Measures should be reformed according to the stopping behaviours of searchers. A number of potential avenues for future exploration can also be considered, such as modelling the stopping behaviours of searchers individually (rather than as a population), and to explore and consider a wider variety of different stopping heuristics under different search contexts. Despite the inherently difficult task that understanding and modelling the stopping behaviours of searchers represents, potential benefits of further exploration in this area will undoubtedly aid the searchers of future retrieval systems - with further work bringing about improved interfaces and experiences