Nudging users towards better security decisions in password creation using whitebox-based multidimensional visualisations

Hartwig, Katrin; Reuter, Christian

doi:10.1080/0144929x.2021.1876167

Cited by 21 publications

(10 citation statements)

References 63 publications

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“…Usability evaluation of existing and novel systems: Contributions belonging to this category seem to be characterized by two main approaches to evaluating the products/methods: authors either evaluate them individually [20,25,27,29,[34][35][36][37] or compare them with other existing or new systems [4,[13][14][15][16][17][18][19]22,24,26,28,30,32,33,[38][39][40][41].…”

Section: Usability Of Authentication Methods (34 Papers)mentioning

confidence: 99%

“…In addition, study participants were often college students whose field of study was considered to have little influence in the experiments when, in fact, this parameter would influence their proficiency in computer science. Finally, some studies involved users with special characteristics: users of specific devices [31,36] or with specific characteristics such as visual impairments [18,20] and specific lifestyles [35].…”

Section: Usability Of Authentication Methods (34 Papers)mentioning

confidence: 99%

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Usable Security: A Systematic Literature Review

Di Nocera,

Tempestini,

Orsini

2023

Information

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Usable security involves designing security measures that accommodate users’ needs and behaviors. Balancing usability and security poses challenges: the more secure the systems, the less usable they will be. On the contrary, more usable systems will be less secure. Numerous studies have addressed this balance. These studies, spanning psychology and computer science/engineering, contribute diverse perspectives, necessitating a systematic review to understand strategies and findings in this area. This systematic literature review examined articles on usable security from 2005 to 2022. A total of 55 research studies were selected after evaluation. The studies have been broadly categorized into four main clusters, each addressing different aspects: (1) usability of authentication methods, (2) helping security developers improve usability, (3) design strategies for influencing user security behavior, and (4) formal models for usable security evaluation. Based on this review, we report that the field’s current state reveals a certain immaturity, with studies tending toward system comparisons rather than establishing robust design guidelines based on a thorough analysis of user behavior. A common theoretical and methodological background is one of the main areas for improvement in this area of research. Moreover, the absence of requirements for Usable security in almost all development contexts greatly discourages implementing good practices since the earlier stages of development.

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Section: Usability Of Authentication Methods (34 Papers)mentioning

confidence: 99%

Section: Usability Of Authentication Methods (34 Papers)mentioning

confidence: 99%

Usable Security: A Systematic Literature Review

Di Nocera,

Tempestini,

Orsini

2023

Information

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show abstract

“…Taken together, a complex picture emerges, showing that there are plenty of sources of variability between individuals. Especially considering that individualized user interventions have previously proven promising, both in the security [30] and privacy [43] domain, structuring the user space to better address individual user needs is a promising path to pursue.…”

Section: The Myth Of the Average Usermentioning

confidence: 99%

On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas

Biselli

Steinbrink

Herbert

et al. 2022

PoPETs

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Concise instruments to determine privacy personas – typical privacy-related user groups – are not available at present. Consequently, we aimed to identify them on a privacy knowledge–privacy behavior ratio based on a self-developed instrument. To achieve this, we conducted an item analysis (N = 820) and a confirmatory factor analysis (CFA) (N = 656) of data based on an online study with German participants. Starting with 81 items, we reduced those to an eleven-item questionnaire with the two scales privacy knowledge and privacy behavior. A subsequent cluster analysis (N = 656) revealed three distinct user groups: (1) Fundamentalists scoring high in privacy knowledge and behavior, (2) Pragmatists scoring average in privacy knowledge and behavior and (3) Unconcerned scoring low in privacy knowledge and behavior. In a closer inspection of the questionnaire, the CFAs supported the model with a close global fit based on RMSEA in a training and to a lesser extent in a cross-validation sample. Deficient local fit as well as validity and reliability coefficients well below generally accepted thresholds, however, revealed that the questionnaire in its current form cannot be considered a suitable measurement instrument for determining privacy personas. The results are discussed in terms of related persona conceptualizations, the importance of a methodologically sound investigation of corresponding privacy dimensions and our lessons learned.

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“…To consider learner-centricity, we drew on the concept of nudging, originally a concept from behavioral economics [92], to nudge users to utilize computational methods in their learning process. In fact, the soft-paternalistic paradigm of nudging users towards an intended behavior has shown positive effects on decision making in digital environments [13], e.g., for nudging towards secure [37,70,121] and privacy-friendly internet behavior [77]. Nudging is based on psychological effects that influence or counteract behavior to support users in their decision-making, especially by exploiting biases and heuristics of individuals [59].…”

Section: Introductionmentioning

confidence: 99%

“…Nudging is based on psychological effects that influence or counteract behavior to support users in their decision-making, especially by exploiting biases and heuristics of individuals [59]. Embedding both nudges in traditional learning environments and digital nudges in learning tools have shown positive effects on learning outcomes, especially for self-regulated learning such as self-evaluation [13,37,61,115]. For example, [61] have found that push notifications about missing submissions nudge students to improve assignment adherence and course grades, and [28] have found that nudging students to give motivational advice to their peers (e.g., how to stop procrastinating) leads to higher academic grades.…”

Section: Introductionmentioning

confidence: 99%

Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging

Wambsganss

Janson

Käser

et al. 2022

Proc. ACM Hum.-Comput. Interact.

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Recent advantages from computational linguists can be leveraged to nudge students with adaptive self-evaluation based on their argumentation skill level. To investigate how individual argumentation self-evaluation will help students write more convincing texts, we designed an intelligent argumentation writing support system called ArgumentFeedback based on nudging theory and evaluated it in a series of three qualitative and quantitative studies with a total of 83 students. We found that students who received a self-evaluation nudge wrote more convincing texts with a better quality of formal and perceived argumentation compared to the control group. The measured self-efficacy and the technology acceptance provide promising results for embedding adaptive argumentation writing support tools in combination with digital nudging in traditional learning settings to foster self-regulated learning. Our results indicate that the design of nudging-based learning applications for self-regulated learning combined with computational methods for argumentation self-evaluation has a beneficial use to foster better writing skills of students.

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Nudging users towards better security decisions in password creation using whitebox-based multidimensional visualisations

Cited by 21 publications

References 63 publications

Usable Security: A Systematic Literature Review

Usable Security: A Systematic Literature Review

On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas

Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging

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