Thesis (Ph. D.)--University of North Texas, May, 2008. / Title from title page display. Includes bibliographical references.

Thesis (Ph. D.)--Ohio State University, 2003. / Title from first page of PDF file. Document formatted into pages; contains xv, 159 p.; also includes graphics (some col.) Includes bibliographical references (p. 152-159). Available online via OhioLINK's ETD Center

Dark Patterns are a variety of different software designs that are used to manipulate and mislead the users of an application or service. These patterns range from making it harder to end a subscription service, adding additional charges to a purchase, or having the user give out data or personal information. With how widespread and varied dark patterns are, it led to us creating a way to detect and warn users of different dark patterns. In this study, we created Dark Pattern Detector, a Chrome extension that would help users detect and understand three different dark patterns: Hidden Costs, Disguised Ads, and Sneak into Basket. This extension was made to detect each of these patterns on any web page while not requiring any information from the user or their data. Study participants installed the extension and completed a series of tasks given to them that would occur on different websites containing the previous dark patterns. After completing the tasks, the users were surveyed to give feedback on what they thought of the extension and what suggestions for change they had. In the study, we had 40 participants and we found that 50% of the users were completely unfamiliar with dark patterns and that 77.5% have used extensions before. For the five tasks, each one had a majority of the participants successfully complete them. Finally, when asked about what they thought, the majority of the participants gave positive feedback claiming that they found the extension useful, interesting, and a good idea. Many participants also gave useful feedback about what changes or additions they would like to see. With our results, we can help users have a better understanding of dark patterns and have created a baseline for any future research done on dark pattern knowledge and detection. / Master of Science / Dark patterns are designs on the internet that websites use to trick its users. They may be used to hide advertisements, make the user spend more time or money on their website or more. Our goal was to create a way to help protect anyone on the internet and their information. For this study, we created a program called Dark Pattern Detector that would help the users see different dark patterns that appeared on websites. A study was conducted that had the participants use our program and give us feedback on what they thought of it as well as data on how well it worked. Out of the 40 participants, we found that half the users were unfamiliar with what dark patterns were. Once they completed the study, we saw that the majority of users were able to complete tasks while using our program and gave positive feedback. Seeing the positive feedback and results from our study, we believe that we can help users not get tricked by these patterns and help forward future research on Dark Patterns.

Thesis (M.S.)--Boston University / PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you. / 2999-01-01

While deception is a common strategy in interpersonal communication, most research on interpersonal deception treats the sex as irrelevant in the ability to detect deceptive messages. This study examines the truth and deception detection ability of both male and female receivers when responding to both true and deceptive messages from both male and female speakers. Results suggest that sex may be an important variable in understanding the interpersonal detection probabilities of truth and of lies. An interaction of variables including speakers’ sex, receivers’ sex, and whether the message is truthful or deceptive is found to relate to detection ability. Both women and men were found to be significantly less accurate than chance in judging the veracity of statements made by men, especially when those statements are lies. On the other hand, both women and men were significantly more accurate than chance in judging the veracity of statements made by women, especially when those statements are truthful. This may suggest that men are better deceivers than women, while women seem more transparent in exhibiting feelings about their messages whether being truthful or deceptive. In recalling real life deceptions discovered previously, women reported that they discovered significantly more lies from female sources than from men they knew. This finding may reflect the previous finding that discovering lies told by women is more likely than is discovering lies told by men.

Thesis (M.S.)--Ohio University, August, 2009. / Title from PDF t.p. Includes bibliographical references.

No description available.

Among terrestrial orchids, and particularly among the subtribe Orchidinae, flies are underrepresented as pollinators. The European Neotinea ustulata, which developed specialized pollination by tachinid flies, is known to produce high relative concentrations of the floral cuticular alkenes (Z)-11-tricosene and (Z)-11-pentacosene (referred to as (Z)-11-C23/C25enes), which seem to be uncommon among orchid flowers. If the evolution of tachinid pollination is related to that of (Z)-11-C23/C25enes, we can expect that closely related species have a different floral chemical pattern and significantly small or no production of (Z)-11-C23/C25enes, independently of their pollinator guild identity (e.g., bees, flies, moths). We chemically compared the floral cuticular composition among Neotinea species, performed electrophysiological analyses, reconstructed the phylogenetic Orchidinae tree, and identified the evolutionary history of pollinator guild and (Z)-11-C23/C25enes production within the Orchidinae. Neotinea ustulata has evolved a markedly different floral cuticular composition compared to other Neotinea and produces both compounds ((Z)-11-C23/C25enes) in high relative quantities (i.e., above 8% in combination), which are detectable by tachinid antennae. Moreover, most Orchidinae taxa have minimal or no production of these alkenes, independently of the identity of their pollinator guild. Our ancestral reconstruction suggested that (Z)-11-C23/C25enes production was an evolutionary exaptation in Neotinea, whereas tachinid pollination was a unique evolutionary innovation for N. ustulata. Floral cuticular composition and, in particular, the combined production of (Z)-11-C23/C25enes at relatively high concentrations is intimately linked to the evolution of tachinid pollination within the Orchidinae.

No description available.

With the rapid development of technology, software applications have become essential in people's daily lives. The number of digital platforms (e.g., website and mobile) available is continuously growing, and so are the persuasive designs that impact user's experience and decision-making in an online environment. Deceptive patterns, also known as dark patterns, refer to user interface (UI) design choices crafted to manipulate or trick users into actions that they are not intended to do in digital environments. These patterns, found everywhere in digital interfaces, exploit users' psychological vulnerability and manipulate them into actions that benefit stakeholders at the expense of users' interests. To bring more awareness of the dark patterns, scholarship on the topic is vastly increasing. However, there is limited study on how dark patterns impact users' perceptions and interaction with applications. Furthermore, work has yet to investigate dark patterns from the perspective of software engineers, the developers who implement user interface designs. To that end, our study seeks to explore users' and developers' perspectives on dark patterns In this study, we used a mixed-method approach, surveying each stakeholder group (N_user=66 and N_developer=38) and mining GitHub data (N=2556) to understand end users' perceptions and experiences and developers' discussions and attitudes about dark patterns. Our findings reveal that users often encounter dark patterns online with limited options for avoidance, which evoke negative emotions. Developers report that external pressures influence their decisions to implement dark patterns, and most recognize their adverse effects on trust and user experience. Discussions on GitHub primarily focus on the existence and prevention of dark patterns, often reflecting negative sentiments. With our findings, we aim to raise stakeholders' awareness of dark patterns and promote ethical UI design to mitigate the use of deceptive designs in online environments. / Master of Science / As technology becomes more integral to our daily lives, more digital platforms, such as websites and mobile apps, are being developed. Unfortunately, some designs manipulate users into making choices they did not mean to, like easy sign-up with a one-click button but hard to unsubscribe. These are known as ``dark patterns'' — user interface tricks that take advantage of how people think or behave online, benefiting companies at the users' expense. While research on these deceptive designs is increasing, there is little information on how they affect users or what developers think about them. For this study, we investigated how users and developers perceive dark patterns in online environments. We surveyed 66 users and 38 developers and analyzed over 2,556 discussions from open-source coding platforms like GitHub, a popular code hosting platform for open-source projects. Our findings reveal that users frequently encounter dark patterns online, which can lead to negative emotions and provide few alternatives to avoidance. A minority of developers admit to implementing dark patterns due to external pressures, while most recognize their harmful impact on trust and user experience. GitHub discussions primarily focus on the existence and prevention of dark patterns, often reflecting negative sentiments like stress and frustration.