Towards a UX Assessment Method for AI-Enabled Domestic Devices

IAEME PUBLICATION, 2024

AI-produced content has emerged as a transformative force in revolutionizing accessibility within the consumer electronics domain. As technology continues to advance, artificial intelligence plays a pivotal role in reshaping the landscape of content creation, particularly in making electronic devices more accessible to diverse user populations. The integration of AI-driven features has significantly contributed to improved user interfaces, personalized experiences, and adaptive technologies. This paper examines the key ways in which AI-driven content has positively influenced accessibility in consumer electronics, including speech recognition, gesture control, and customized interfaces. Additionally, it discusses the challenges and ethical considerations associated with the proliferation of AI in this context. By shedding light on the intersection of AI and accessibility in consumer electronics, this article aims to contribute to the ongoing discourse on leveraging technological innovations to create a more inclusive and user-friendly digital environment.

IAEME PUBLICATION, 2020

In today’s AI powered world, no domain goes untouched by the AI tools and techniques. The world has risen on huge data and the unmatched computational speed of machines launching every single step. This article is ready with the transformative impact of AI-powered tools on user research, prototyping, and personalization in the realm of UI/UX design. As artificial intelligence continues to advance, its integration into design process is reshaping traditional methodologies and enhancing the user experience. Through a comprehensive review of existing literature, case studies, and expert insights, this paper explores the various ways in which AI technologies are revolutionizing key aspects of UI/UX design. Specifically, it investigates how AI facilitates user research efficiently by automating data analysis, identifying patterns, and predicting user behaviour. Furthermore, the paper delves into the role of AI in accelerating the prototyping process through generative design algorithms, enabling designers to explore a multitude of design variations rapidly. Additionally, it discusses the implications of AI-driven personalization in user experience based on individual preferences and behaviors, thereby enhancing engagement and satisfaction. By elucidating these advancements, this paper aims to provide a deeper understanding of the evolving landscape of UI/UX design in the context of AI innovation. This in-depth discussion offers insights for designers, researchers, and industry practitioners alike.

Computers in Industry, 2010

2013

This paper illustrates the motivation and objectives of the third international workshop on Aesthetic Intelligence. The workshop aims at bringing together researchers as well as industry practitioners from the fields of computer science, engineering, architecture, industrial and interface design to discuss ongoing research activities and emerging trends in the area of smart environments. A special focus of the workshop is on the role of aesthetic design for the acceptance and adoption of services in smart environments.

Researchers of the Ubiquitous Computing community (Ubicomp) have been pursuing the vision of a world where technologies and services permeates every object of our lives for years. With components getting smaller, cheaper and more powerful, it has become possible to manufacture connected objects capable of interacting with resources of the World Wide Web. This opens up the possibility for researchers and practitioners to consider information as a design material and objects as platforms for services. By allowing users to personalize, complement or repurpose the functions of their objects, such services have a great impact on the way artifacts are designed. Designing for the Ubiquitous Era requires modifying our practice and reinforcing collaboration between disciplines at every steps of the creation process. In this article, we discuss the need to reinvent objects and to investigate the tools supporting the creation of engaging user experiences.

Computers, 2012

Our everyday environments are gradually becoming intelligent, facilitated both by technological development and user activities. Although large-scale intelligent environments are still rare in actual everyday use, they have been studied for quite a long time, and several user studies have been carried out. In this paper, we present a user-centric view of intelligent environments based on published research results and our own experiences from user studies with concepts and prototypes. We analyze user acceptance and users' expectations that affect users' willingness to start using intelligent environments and to continue using them. We discuss user experience of interacting with intelligent environments where physical and virtual elements are intertwined. Finally, we touch on the role of users in shaping their own intelligent environments instead of just using ready-made environments. People are not merely "using" the intelligent environments but they live in them, and they experience the environments via embedded services and new interaction tools as well as the physical and social environment. Intelligent environments should provide emotional as well as instrumental value to the people who live in them, and the environments should be trustworthy and controllable both by regular users and occasional visitors. Understanding user expectations and user experience in intelligent environments,

JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2009

Ten years of AmI research have led to many new insights and understandings about the way highly interactive environments should be designed to meet the requirement of being truly unobtrusive and supportive from an end-user perspective.

ACM Transactions on Computer-human Interaction, 2002

Current work in the field of usability tends to focus on snapshots of use as the basis for evaluating designs. However, giving due consideration to the fact that everyday use of technology involves a process of evolution, we set out to investigate how the design of the technology may be used to support this. Based on a long-term empirical study of television use in the homes of two families, we illustrate how use continuously develops in a complex interplay between the users' expectationsas they are formed and triggered by the design-and the needs and context of use per se. We analyze the empirical data from the perspective of activity theory. This framework serves to highlight how use develops, and it supports our analysis and discussion about how design, the users' backgrounds, previous experience, and needs, and the specific context of use supports or hinders the development of use. Moreover, we discuss how the characteristics of the home settings, in which the televisions studied were situated, represent a challenge to usability work. The concluding discussion leads to a set of hypotheses relevant to designers and researchers who wish to tackle some of the aspects of usability of particular importance to development in the use of home technology.

Proceedings of the 2023 ACM Designing Interactive Systems Conference

Intelligent systems learn and evolve depending on what kinds of input are given and how people actually use them after deployment. While such a characteristic may be a troubling property for AI user experience designers, it also imbues an intelligent system with an open-ended quality, empowering end-users to 'design' their own system in use to achieve more desired experiences. In light of this, we conducted in-depth interviews with 16 users of various AIbased everyday recommender systems, investigating how people design their AI user experiences in actual use contexts. Exploring people's current experiences of adopting and adapting those systems to achieve their own desired experiences, we discovered three styles of end-user design of their experiences: teaching, resisting, and repurposing. We end with a discussion of the implications of our fndings, recognizing end-users' motivation to challenge a prescribed experience of an intelligent system.

ACM CHI 2019, 2019

Research on product experience has a history in investigating the sensory and emotional qualities of interacting with objects. However, this notion has not been fully expanded to the design space of co-designing smart objects. In this paper, we report on findings from a series of co-design workshops where we used the toolkit Loaded Dice in conjunction with a card set that aimed to support participants in reflecting the sensory qualities of domestic smart objects. We synthesize and interpret findings from our study to help illustrate how the workshops supported co-designers in creatively ideating concepts for emotionally valuable smart objects that better connect personal inputs with the output of smart objects. Our work contributes a case example of how a co-design approach that emphasizes situated sensory exploration can be effective in enabling co-designers to ideate concepts of idiosyncratic smart objects that closely relate to the characteristics of their domestic living situations. CCS CONCEPTS • Human-centered computing → Participatory design.