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Abstract(s)
Esta investigação explora a influĂȘncia do uso de ferramentas e recursos de
inteligĂȘncia artificial (IA) nas prĂĄticas de User Experience (UX) para descobrir e
compreender as necessidades de utilizadores de sistemas digitais. O estudo se atém a
dois aspectos presentes e interligados na rotina de UX: criatividade, uma habilidade
essencial, e produtividade, um elemento central no mercado de trabalho. Portanto,
questiona-se, como profissionais de UX poderĂŁo manter sua criatividade ao usar IA em
seu trabalho, e ainda obter reflexos em sua produtividade. Busca-se obter um retrato
atual, marcado por inovaçÔes e ferramentas emergentes. O desenvolvimento da tese usa
de atividades de UX Research: anålise comparativa, inquérito por questionårio,
entrevista qualitativa e um experimento comparativo. A anĂĄlise comparativa traz
caracterĂsticas, prĂłs e contras de 7 ferramentas usadas em descoberta e citadas por
especialistas. Tal etapa mapeia o cenårio atual, identifica limitaçÔes e oferece uma base
para a comparação do potencial das ferramentas com as opiniÔes dos profissionais na
pesquisa. la no inquérito, com 75 respostas, quantifica-se o uso de IA em UX, sua
influĂȘncia na criatividade e produtividade, mudanças na rotina de trabalho e na
colaboração humano-måquina. Sua anålise sugere que IA tem papel assistencial, e que,
embora melhore a produtividade em tarefas operacionais, e usada com ceticismo onde
é necessåria a criatividade ou a tomada de decisÔes complexas. Posteriormente, nas
entrevistas qualitativas realizadas com 15 profissionais de UX, nota-se que a IA vem
sendo integrada ao seu trabalho. Observa-se ainda que em empresas com alta demanda
e baixa maturidade de UX, a lA alivia tarefas operacionais e permite a concentração em
atividades de maior valor. Quanto a criatividade, hå opiniÔes desiguais: alguns
profissionais que adotam IA em atividades de descoberta percebem que tem sua
criatividade fomentada. Os que nĂŁo a adotam, relatam que a parte manual do processo
os mantém realizados, criativos, imersos e empåticos para lidar com as dores dos
utilizadores. Ainda, uma nuance relativa a acessibilidade foi descoberta e mostra que o
uso de ferramentas de IA em pesquisa aumenta a performance, confiança e autoestima
dos profissionais com deficiĂȘncia fĂsica e motora e com neurodivergĂȘncias.
Adicionalmente, sobre autoestima, nota-se que alguns profissionais que usam lA em
descoberta, lidando ou nĂŁo com neurodivergĂȘncias, tem sua confiança aumentada.
PorĂ©m, na preocupação com a perda do exercĂcio cognitivo criativo, padronização
excessiva e perda de originalidade no trabalho de pesquisa. la o experimento
comparativo, corrobora algumas das descobertas relatadas. Seus 13 participantes foram
divididos em dois grupos: um utilizou o ChatGPT e o outro nĂŁo, ambos realizando as
mesmas tarefas para permitir uma comparação do uso da lA. No Grupo A (sem IA),
observa-se a criação de soluçÔes originais e empåticas, com imersão nas atividades e
confiança nos insights gerados, além de satisfação ao trabalhar manualmente. Neste
grupo, a percepção de criatividade e produtividade mostram-se intrinsecamente
interligadas, com os participantes se sentindo simultaneamente produtivos e criativos.
Contudo, no Grupo B (com IA), a produtividade Ă© percebida de forma positiva, com o uso
do ChatGPT otimizando o trabalho. HĂĄ receio de dependĂȘncia da lA e comprometimento
da criatividade. Neste grupo, embora a IA proporcione ganhos em organização e
eficiĂȘncia, acontece um constante refinamento dos prompts, o que gera frustração. Com
a conclusĂŁo do estudo, observa-se que o uso de lA na descoberta e compreensĂŁo afeta
tanto a criatividade quanto a produtividade em UX. Nota-se que tais recursos aumentam
a sensação de produtividade e permitem que os profissionais se dediquem a atividades
maior valor. Sobre a criatividade, indica-se que ela se mantém, mesmo com o uso de IA,
sobretudo no inĂcio de processos de descoberta â varia com a imersĂŁo do profissional e
não exatamente com o uso ou não de IA. Porém, para a geração de insights criativos
profundos, originais, empĂĄticos e holĂsticos, o uso de IA nĂŁo se mostra tĂŁo eficiente.
Portanto, percebe-se que o papel predominante da IA na rotina de UX Ă© de âassistenteâ.
Contudo, ferramentas de IA revelam-se Ășteis em pequenas equipas de UX, quando hĂĄ
prazos curtos, bloqueios criativos ou no inĂcio da exploração de um tema. Logo, percebe-se que o uso de IA em descoberta e uma habilidade que precisa ser desenvolvida como
qualquer outra e exige estudo e atenção. Em resumo, espera-se que os resultados
contribuam para a comunidade de UX e inspirem futuros estudos complementares.
This research explores the influence of using artificial intelligence (AI) tools and resources in User Experience (UX) practices to discover and understand the needs of users of digital systems. The study focuses on two interconnected aspects of UX work: creativity, an essential skill, and productivity, a key element in the labor market. The question addressed is how UX professionals can maintain their creativity when using Al in their work, while still reflecting on their productivity. The aim is to provide a current snapshot, marked by innovations and emerging tools. The development of the thesis involves UX Research activities: comparative analysis, survey, qualitative interviews, and a comparative experiment. The comparative analysis highlights the features, pros, and cons of seven tools used in discovery, cited by specialists. This step maps the current landscape, identifies limitations, and provides a basis for comparing the potential of the tools with the opinions of professionals in the study. The survey, with 75 responses, quantifies the use of AI in UX, its influence on creativity and productivity, changes in work routines, and human-machine collaboration. The analysis suggests that AI plays an assistive role and, while improving productivity in operational tasks, is used with skepticism when creativity or complex decision-making is required. In the qualitative interviews with 15 UX professionals, it is observed that Al is being integrated into their work. it is further noted that in companies with high demand and low UX maturity, Al alleviates operational tasks, allowing focus on higher-value activities. Regarding creativity, opinions are divided: some professionals who adopt AI in discovery activities feel that it fosters their creativity, while others who do not adopt it report that the manual aspect of the process is what keeps them fulfilled, creative, immersed, and empathetic in addressing user pain points. Furthermore, a nuance related to accessibility was discovered, showing that the use of AI tools in research enhances performance, confidence, and self-esteem among UX professionals with physical disabilities, motor impairments, and neurodivergences. Additionally, in the context of self-esteem, it is noted that some professionals who use AI in discovery, regardless of neurodivergence, experience increased confidence and self-esteem. However, there is concern about the loss of creative cognitive exercise, excessive Standardization, and the loss of originality in research work. The comparative experiment corroborates some of the findings. Thirteen participants were divided into two groups: one used ChatGPT, and the other did not, with both groups completing the same tasks to allow a comparison of AI usage. ln Group A (without AI), original and empathetic solutions were created, with immersion in activities and confidence in the insights generated, as well as satisfaction with working manually. In this group, creativity and productivity were found to be intrinsically linked, with participants feeling both productive and creative simultaneously. In contrast, in Group B (with AI), productivity was perceived positively, with the use of ChatGPT optimizing the work. However, there was concern about dependency on AI and a potential compromise in creativity. In this group, although Al provided gains in organization and efficiency, there was constant refinement of prompts, leading to frustration. With the conclusion of the study, it is observed that the use of AI in discovery and understanding impacts both creativity and productivity in UX. It is noted that such resources increase the sense of productivity and allow professionals to focus on higherâvalue activities. Regarding creativity, it is suggested that creativity remains, even with the use of AI, especially in the early stages of discovery processes - it varies according to the professional's immersion rather than the use or non-use of AI. However, for generating deep, original, empathetic, and holistic creative insights, AI does not prove as effective. Therefore, the predominant role of Al in UX work is that of an "assistant." However, AI tools are useful in small UX teams, when there are tight deadlines, creative blocks, or at the beginning of a topic exploration. Thus, it is understood that using AI in discovery is a skill that must be developed like any other, requiring study and attention. In summary, it is expected that the results contribute to the UX community and inspire future complementary studies.
This research explores the influence of using artificial intelligence (AI) tools and resources in User Experience (UX) practices to discover and understand the needs of users of digital systems. The study focuses on two interconnected aspects of UX work: creativity, an essential skill, and productivity, a key element in the labor market. The question addressed is how UX professionals can maintain their creativity when using Al in their work, while still reflecting on their productivity. The aim is to provide a current snapshot, marked by innovations and emerging tools. The development of the thesis involves UX Research activities: comparative analysis, survey, qualitative interviews, and a comparative experiment. The comparative analysis highlights the features, pros, and cons of seven tools used in discovery, cited by specialists. This step maps the current landscape, identifies limitations, and provides a basis for comparing the potential of the tools with the opinions of professionals in the study. The survey, with 75 responses, quantifies the use of AI in UX, its influence on creativity and productivity, changes in work routines, and human-machine collaboration. The analysis suggests that AI plays an assistive role and, while improving productivity in operational tasks, is used with skepticism when creativity or complex decision-making is required. In the qualitative interviews with 15 UX professionals, it is observed that Al is being integrated into their work. it is further noted that in companies with high demand and low UX maturity, Al alleviates operational tasks, allowing focus on higher-value activities. Regarding creativity, opinions are divided: some professionals who adopt AI in discovery activities feel that it fosters their creativity, while others who do not adopt it report that the manual aspect of the process is what keeps them fulfilled, creative, immersed, and empathetic in addressing user pain points. Furthermore, a nuance related to accessibility was discovered, showing that the use of AI tools in research enhances performance, confidence, and self-esteem among UX professionals with physical disabilities, motor impairments, and neurodivergences. Additionally, in the context of self-esteem, it is noted that some professionals who use AI in discovery, regardless of neurodivergence, experience increased confidence and self-esteem. However, there is concern about the loss of creative cognitive exercise, excessive Standardization, and the loss of originality in research work. The comparative experiment corroborates some of the findings. Thirteen participants were divided into two groups: one used ChatGPT, and the other did not, with both groups completing the same tasks to allow a comparison of AI usage. ln Group A (without AI), original and empathetic solutions were created, with immersion in activities and confidence in the insights generated, as well as satisfaction with working manually. In this group, creativity and productivity were found to be intrinsically linked, with participants feeling both productive and creative simultaneously. In contrast, in Group B (with AI), productivity was perceived positively, with the use of ChatGPT optimizing the work. However, there was concern about dependency on AI and a potential compromise in creativity. In this group, although Al provided gains in organization and efficiency, there was constant refinement of prompts, leading to frustration. With the conclusion of the study, it is observed that the use of AI in discovery and understanding impacts both creativity and productivity in UX. It is noted that such resources increase the sense of productivity and allow professionals to focus on higherâvalue activities. Regarding creativity, it is suggested that creativity remains, even with the use of AI, especially in the early stages of discovery processes - it varies according to the professional's immersion rather than the use or non-use of AI. However, for generating deep, original, empathetic, and holistic creative insights, AI does not prove as effective. Therefore, the predominant role of Al in UX work is that of an "assistant." However, AI tools are useful in small UX teams, when there are tight deadlines, creative blocks, or at the beginning of a topic exploration. Thus, it is understood that using AI in discovery is a skill that must be developed like any other, requiring study and attention. In summary, it is expected that the results contribute to the UX community and inspire future complementary studies.
Description
Dissertação de mestrado
Keywords
InteligĂȘncia artificial UX Design Criatividade Produtividade Necessidades dos utilizadores Artificial Intelligence Creativity Productivity User needs