Interdependency between user experience and interaction: a Kansei design approach

Mahut, Theo; Bouchard, Carole; Omhover, Jean-François; Favart, Carole; Esquivel, Daniel

doi:10.1007/s12008-017-0381-4

Cited by 15 publications

(11 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There are several layer-based models that explore the experience of interactive products, such as the ones of Karapanos et al (2009), McCarthy and Wright (2004), Desmet & Hekkert (Desmet and Hekkert 2007) or Mahut et al (2018). We emphasised that our model is different than those models in explaining the relations between the product qualities and the human-related qualities of experience in long term experience.…”

Section: Implications Of Research Outcomes On Future Of Plux Modelmentioning

confidence: 99%

“…This led to discussions on understanding users better, and such discussions aimed to broaden the knowledge about users (Forlizzi, Disalvo, and Hanington 2003;Hassenzahl and Tractinsky 2006). Since then, several multidimensional models adopting various perspectives on how people experience particular systems, products, or technologies have been framed (Desmet and Hekkert 2007;Fokkinga et al 2014;Hassenzahl 2008;Haug 2016;Karapanos et al 2009;Mahut et al 2018;Pucillo and Cascini 2014). While such models offer a generalised understanding of user experience, it has also been discussed that user experience is unique, dynamic, subjective and temporary (Hassenzahl and Tractinsky 2006;Karapanos et al 2009;Karapanos et al 2010;Mahlke 2007;Vermeeren et al 2010).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of the usefulness of path of long-term user experience model in design process

Karahanoglu

Bakırlıoğlu

2020

Behaviour & Information Technology

View full text Add to dashboard Cite

User experience evolves in accordance with users' attitudes, habits, and personality, as well as their prior experiences. Even though there are attempts to holistically frame the long-term experience of interactive products, there is still debate on how to guide designers in the design process of those products. To tackle this issue, this paper proposes the usage of Path of Long-Term User Experience (PLUX) model in design process. To interrogate the usefulness of the model, we conducted two studies. First, we adopted, adapted and tested the applicability of the backcasting approach, together with the visual materials that could be used in the design process. Following this, we tested the effectiveness of using the PLUX model as a guidance tool in designing interactive products. The PLUX model together with the backcasting approach helps designers to better ground their decisions in the design process and to find ways to enrich long-term user experience. The stages of user experience as well as the human and product-related qualities of the PLUX model facilitated in-depth reflection, and espoused creative interpretations of these qualities for ideation. However, the high level of detail is found limiting at times, depending on the ways the model is utilised.

show abstract

Section: Implications Of Research Outcomes On Future Of Plux Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of the usefulness of path of long-term user experience model in design process

Karahanoglu

Bakırlıoğlu

2020

Behaviour & Information Technology

View full text Add to dashboard Cite

show abstract

“…El tema de las emociones ha tomado relevancia en el diseño; una muestra de ello es la publicación reciente del libro Emotion Measurment que discute cómo medir las emociones de objetos tales como marcas, productos o servicios (Meiselman, 2016). El tema, además, interesa tanto a la academia como a la industria (Mahut, Bouchard, Omhover, Favart, & Esquivel, 2018). El desarrollo de métodos para identificar las emociones en la interacción persona-objeto es necesario, porque los estudios existentes están dirigidos a la investigación clínica y psicológica, los cuales están fuertemente cargados con palabras de emociones negativamente valoradas.…”

Section: Juan Carlos Ortiz Nicolás Irma Hernández Lópezunclassified

Emociones específicas en la interacción persona-producto: un método de identificación causal

Nicolás

López²

2018

Econ. Creativa

View full text Add to dashboard Cite

Esta investigación presenta y valida un método cualitativo para identificar las causas que estimulan emociones particulares en la interacción persona-producto. El desarrollo y la validación del método incluyó un estudio divido en cuatro etapas: 1) Diseño del método, 2) Construcción, 3) Implementación y 4) Validación. El método propuesto considera cinco fases: A. Selección del producto a evaluar, B. Determinación de características de participantes y lugar de evaluación, C. Identificación de las emociones, D. Codificación y análisis, y E. Reporte de resultados. Para implementar el método se evaluaron dos estímulos (alcancía y silla). En la validación se utilizan los mismos estímulos y un método cuantitativo. Este diseño experimental fue establecido para comparar los datos obtenidos. Los resultados indican que el método propuesto es efectivo para identificar las causas que estimularon la reacción emocional en la interacción persona-producto. Identificar las causas que estimulan una emoción es esencial para practicar diseño emocional.

show abstract

“…With the development of the quality of life, people's demand for products has risen from pure functionality to the stage of emotional satisfaction. As product quality becomes a barrier to overcome, the technology gap gradually narrows, and the user experience reflects the product's differentiation, which largely determines whether it can succeed on the market [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Research on the Evaluation Modeling Method of User Experience Quality under Uncertain Noise Environment

Yin

Liao

2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Experience economy is a trend of future economic development. Enterprises can only occupy the market more successfully by enhancing the user experience in product design. The user’s product experience is affected by uncertainty noises (such as the user’s environment and different users), rendering the user experience quality evaluation results highly variable. The purpose of this paper is to study the modeling method of user experience quality evaluations under uncertain environmental noises; inspired by normal ordered weighted averaging (OWA) operators, the normal distribution probability density function is implemented to improve the normal ordered weighted averaging (OWA) operators, and a new modeling method designed for the evaluation of user experience quality under uncertainty is proposed, which can overcome the disadvantage of unreasonable weight distribution when the data size and location are different, as well as weigh the importance of both the value and the location of the data. The simulation results show that this method is more effective, accurate, and feasible than the conventional order weighted synthesis operator method. The feasibility and validity of this method are proved by user experience and comparative experiments of multiattribute bread products.

show abstract

Interdependency between user experience and interaction: a Kansei design approach

Cited by 15 publications

References 31 publications

Evaluation of the usefulness of path of long-term user experience model in design process

Evaluation of the usefulness of path of long-term user experience model in design process

Emociones específicas en la interacción persona-producto: un método de identificación causal

Research on the Evaluation Modeling Method of User Experience Quality under Uncertain Noise Environment

Contact Info

Product

Resources

About