Many studies have been carried out to establish the effectiveness of conversational agents on the behavior of older people with dementia with positive findings. In recent years, studies have shown that conversational agents have potential in ...

In the context of Covid-19 pandemic, conducting a user experience evaluation has become more. For example, Heuristic Evaluation, is manual task-dependent, does not have a standardized way, and data processing costs valuable time. This context made ...

Voice assistants, widely integrated into daily life, demonstrate vast potential across various applications, primarily catering to typical users with occasional focus on children, the elderly (specifically those with dementia), but not yet ...

In recent years, the use of virtual television sets (VTS) has grown in traditional TV productions, online broadcasting shows and streaming for both professional and amateur applications. Nevertheless, the interaction between actor or television anchors ...

Physiological sensing enables us to use advanced adaptive functionalities through physiological data (e.g., eye tracking) to change conditions. In this work, we investigate the impact of infilling methods on LSTM models’ performance in handling missing ...

Currently, interactive systems use physiological sensing to enable advanced functionalities. While eye tracking is a promising means to understand the user, eye tracking data inherently suffers from missing data due to blinks, which may result in reduced ...

Despite widespread recognition of its value and importance, accessibility tends to be interpreted as a niche topic by students in many User Interfaces and User Experience (UI/UX) courses. In response, we advocate for explicitly positioning accessibility ...

A problem within many institutions is the lack of resources to create meaningful interdisciplinary partnerships together. Addressing this issue is imperative for enhancing the quality of projects and research opportunities for faculty members. Students ...

Virtual reality technology is an increasingly accessible technology with great potential for use in emergency training, particularly for professionals such as firefighters, military personnel, and healthcare staff who often face stressful situations. ...

Automatic emotion recognition (AER) using facial expressions and electroencephalogram (EEG) signals is an interesting and booming area of research in the field of human computer interaction This paper aims to identify the key state-of-the-art ...

This paper discusses the challenges and complex processes related to creating content for Extended Reality applications. More specifically, the paper focuses on the challenges and processes involved in developing mixed reality applications using the ...

Passive voice assistants such as Alexa are widespread, responding to user requests. However, due to the rise of domestic robots, we envision active smart assistants initiating interactions seamlessly, weaving themselves into the user’s context, and ...

As years pass, smartphones are becoming a larger part of daily lives, causing users to interact with them more than ever. There are moments, however, when it becomes difficult for the user to operate their device directly. Currently, a user can either ...

Analysing and understanding child behaviour is a topic of great scientific interest across a wide range of disciplines, including social sciences and artificial intelligence (AI). Knowledge in these diverse fields is not yet integrated to its full ...

Hurricanes can cause catastrophic damage; it is critical for those affected to access information about conditions, loved ones, and resources. Prior work in the HCI and CSCW communities has focused on how social media can be vital during natural ...

Mobile sensing technologies enable adaptive and context-aware applications. At the same time, they raise a range of privacy concerns. Thus, to reduce privacy concerns today apps are restricted from accessing certain information hindering to deliver ...

Smartphones provide various functions supporting users in their daily lives. However, the temptation of getting distracted and tuning out is high leading to so-called rabbit holes. To quantify rabbit hole behavior, we developed an Android tracking ...

Dementia is a condition that affects more and more elderly people around the world. The number of people affected by dementia is expected to increase in the future due to increasing longevity and the growing elderly population. According to the World ...

This paper introduces a user-driven evolutionary algorithm based on Quality Diversity (QD) search. During a design session, the user iteratively selects among presented alternatives and their selections affect the upcoming results. We implement a ...

The importance of data is increasing and so is the use of voice-interface-chatbots. While tasks that can be handled by chatbots are still relatively simple, analysing data can be a difficult task for non-experts. The aim of the research was to show how ...