PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy

Privacy is the right of individuals to keep personal information to themselves. When individuals use online systems, they should be given the right to decide what information they would like to share and what to keep private. When a piece of information pertains only to a single individual, preserving privacy is possible by providing the right access options to the user. However, when a piece of information pertains to multiple individuals, such as a picture of a group of friends or a collaboratively edited document, deciding how to share this information and with whom is challenging. The problem becomes more difficult when the individuals who are affected by the information have different, possibly conflicting privacy constraints. Resolving this problem requires a mechanism that takes into account the relevant individuals’ concerns to decide on the privacy configuration of information. Because these decisions need to be made frequently (i.e., per each piece of shared content), the mechanism should be automated. This article presents a personal assistant to help end-users with managing the privacy of their content. When some content that belongs to multiple users is about to be shared, the personal assistants of the users employ an auction-based privacy mechanism to regulate the privacy of the content. To do so, each personal assistant learns the preferences of its user over time and produces bids accordingly. Our proposed personal assistant is capable of assisting users with different personas and thus ensures that people benefit from it as they need it. Our evaluations over multiagent simulations with online social network content show that our proposed personal assistant enables privacy-respecting content sharing.

Application of ontologies and digital libraries in school education

The article discusses the application of digital libraries, including a network of ontologies and structured databases, in the education of students in secondary schools. The multi-agent platform of VES (the Virtual Educational Space) is presented, based on the reference architecture of ViPS (the Virtual Physical Space), which is being developed in the DeLC (the Distributed e-Learning Center) laboratory of the University of Plovdiv “Paisii Hilendarski”. The information and data in VES are supported by a hybrid structure of ontologies and databases, as the designed services are supported by intelligent agents and personal assistants. Through the interaction between these intelligent components, some functionalities are modeled such as conducting virtual excursions in the teaching of various school subjects, automatic generation of tests and surveys, development of project tasks, game-based training, etc.

Assessment of Smart Home Assistants as an IoT

A smart home personal assistant technology is an intrinsic system, which incorporates many elements such as users, Smart Home Personal Assistants (SPA) devices, cloud, skill provider and other responsive devices. Even though Smart Home Personal Assistants give a robust security and privacy options, the devices face many weaknesses, which make the system vulnerable and can be comprised by adversaries, who can capitalize on limitations to gain access to delicate information and privacy of users. In this research, the aim is to assess how invention and innovation of security and SPA can be harnessed by users to interrelate with the system. Subsequently, this write-up will address both the problems related to the system and attempt to bring in solutions, which makes the technology more adaptable and versatile to all users. Initial studies show that some of the weakness underlying the technology include the open-nature of the voice channel, complexity of the architecture, software implications, and the utility of the technology to less proficient users. As a result, the study anticipates at solving the voice squatting attack, using the SPA intelligent assistant, incorporating a filer to filter the ultrasonic attack and noise as well as trying to assess the efficacy of the elements developed against the voice squatting attacks. The study found out that there is a need to mitigate the attacks on the blockchain technology and Natural Language Processors (NLP) to assure protection of SPA from attacks.

Intelligent personal assistants and L2 pronunciation development: focus on English past -ed

This study investigates an Intelligent Personal Assistant’s (IPA) ability to assist English as a Second Language (ESL) learners in developing their phonological awareness, perception, and production of the allomorphy in regular past tense marking in English (e.g. talk[t], play[d] and add[ɪd]). The study addresses the following questions: Can the pedagogical use of IPAs improve learners’ pronunciation of -ed allomorphy in terms of phonological awareness, perception, and production? What are learners’ attitudes toward IPAs? The results suggest that participants improved in their ability to articulate their phonological awareness regarding the target form, and that their attitudes toward the technology was positive in terms of the four measures adopted to assess their experience (i.e. learnability, usability, motivation, and willingness to use). We discuss these findings and emphasize the pedagogical potential of IPAs for the development of L2 pronunciation, as well as their ability to personalize learning and consequently extend the reach of the language classroom.

Household intelligent personal assistants in the Netherlands: Exploring privacy concerns around surveillance, security, and platforms

Intelligent personal assistants (IPAs), also known as smart speakers, are becoming part of everyday life in more and more households around the world. Phone and household IPAs are integrated in intimate home contexts and require connections to (social) media profiles, user accounts, and domestic appliances. Users can control their household with voice-activated commands in order to make life more convenient and efficient. Yet, IPAs also bring privacy and surveillance concerns about devices “listening in,” the “platformization” of home life, and data security. Our exploratory mixed-methods study provides an in-depth and multidimensional account of users' privacy concerns around the emergence of IPAs in Dutch households. We differentiate between surveillance, security, and platform concerns, and our survey results indicate by which factors these are influenced. The focus group analysis highlights the role of conversation, recordability, locatability, control-ability, and assistance affordances. Our findings present a multidimensional and nuanced understanding of privacy concerns around household IPAs. We indicate how smart home technologies raise concerns about privacy, surveillance, device security, everyday behavior, and platform transparency, topics that demand urgent attention before the integration of IPAs will be fully normalized.

Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants

Traditional medical practices and relationships are changing given the widespread adoption of AI-driven technologies across the various domains of health and healthcare. In many cases, these new technologies are not specific to the field of healthcare. Still, they are existent, ubiquitous, and commercially available systems upskilled to integrate these novel care practices. Given the widespread adoption, coupled with the dramatic changes in practices, new ethical and social issues emerge due to how these systems nudge users into making decisions and changing behaviours. This article discusses how these AI-driven systems pose particular ethical challenges with regards to nudging. To confront these issues, the value sensitive design (VSD) approach is adopted as a principled methodology that designers can adopt to design these systems to avoid harming and contribute to the social good. The AI for Social Good (AI4SG) factors are adopted as the norms constraining maleficence. In contrast, higher-order values specific to AI, such as those from the EU High-Level Expert Group on AI and the United Nations Sustainable Development Goals, are adopted as the values to be promoted as much as possible in design. The use case of Amazon Alexa's Healthcare Skills is used to illustrate this design approach. It provides an exemplar of how designers and engineers can begin to orientate their design programs of these technologies towards the social good.