scholarly journals Understanding the Empathy in the Design Thinking Process

Empathy has been referred to as one of the main aspects and the key impact factor of Design Thinking (DT). The DT process allows the outcome to be a technically viable solution, while being a desirable output for the users (consumers of the products) and an economically feasible project. The production in the DT process starts with the user’s desirability to reach pleasurable and better products. A common approach to gain a desirable output is having empathy with the users. The empathy implies understanding the individual's desires (their functional and supra-functional needs). Several techniques have been identified for uncovering the users’ needs and reaching the maximum empathy; albeit it is not achieved straightforwardly. There are lots of products and services in life that are not as delightful, enjoyable and pleasurable as it should be for the end users. The big concern in this context, yet, is to identify the gap in understanding the users’ needs in the empathy approach. In line with this, the present research is an endeavor to identify the issues associated with empathy in the DT process and to recognize the obstacles for deep and real empathy with the end user. This paper majorly revolves around reviewing the Empathy and the DT. Findings acknowledge that misunderstanding is a common phenomenon in the Empathy approach in the DT process and the leading cause for this misunderstanding is attributed to the users’ supra-functional needs. Indeed, it is underscored hereby that misunderstanding the empathy might result in unpleasant senses among the users, as well as leading to producers’ unplanned charges, suggesting that the designers would be urged to minimize misunderstanding in the empathy approach.

2020 ◽  
Vol 51 (1) ◽  
pp. 159-185
Author(s):  
Ju Yeon Park, ◽  
Hye Young Chung, ◽  
Sung Hee Kim, ◽  
Young Mi Lee ◽  
Yoo Kyung Lee ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
S Houwaart

Abstract End-user (e.g. patients or the public) testing of information material is becoming more common in the German public health care system. However, including the end-user (in this case patients) in an optimisation process and thus enabling a close collaboration while developing PIMs is still rare. This is surprising, given the fact that patients provide the exact perspective one is trying to address. Within the isPO project, a patient organization is included as a legal project partner to act as the patient representative and provide the patient's perspective. As such, the patient organization was included in the PHR approach as part of the PIM-optimisation team. During the optimisation process, the patients gave practical insights into the procedures of diagnosing and treating different types of cancer as well as into the patient's changing priorities and challenges at different time points. This was crucial information for the envisioned application of the individual PIMs and their hierarchical overview. Moreover, the developed PIM-checklist enabled the patients to give detailed feedback to the PIMs. With their experience of being in the exact situation in which the PIMs will be applied, their recommendations, especially on the wording and layout of the materials, have been a valuable contribution to the PIM optimisation process. In this part of the seminar, we will take a closer look at the following skill building aspects: What is gained from including patients as end-users in the development and optimization of PIM?How can we reach patients to contribute to a PIM optimization process? Which requirements and prerequisites do patients have to provide to successfully work on an optimisation team?How to compromise and weigh opinions when different ideas occur? Altogether, this part will construct a structured path of productive patient involvement and help to overcome uncertainties regarding a collaboration with patient organizations.


Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 854
Author(s):  
Dalia Almaghaslah ◽  
Abdulrhman Alsayari ◽  
Saleh Ali Alyahya ◽  
Rana Alshehri ◽  
Khawlah Alqadi ◽  
...  

Introduction: Design thinking, an innovative problem-solving approach, has gained wide popularity in healthcare disciplines. The aim of this work is to improve outpatients’ experiences in hospital pharmacies in two hospitals in Asir region, Saudi Arabia. Methods: The design thinking approach, adopted from Stanford University’s D-School, was used in this study. Results: Several problems were identified: lack of comfortable environment in the pharmacies’ waiting area, lack of a queue management system, and workflow inefficiencies related to ordering and supplies of medicines. A prototype was proposed to overcome these challenges. Discussion and Conclusion: The design thinking approach helped in identifying end-user (patients visiting outpatient pharmacies) values and desires and provided an understanding of their struggles. It also proposed tailored solutions that could improve patients’ experiences while using the services of the outpatient pharmacies.


Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 647
Author(s):  
Valentina Colla ◽  
Ruben Matino ◽  
Antonius Johannes Schröder ◽  
Mauro Schivalocchi ◽  
Lea Romaniello

Within the implementation of the Industry 4.0 paradigm in the steel sector, robots can play a relevant role in improving health and safety conditions at the workplace, by overtaking cumbersome, repetitive and risky operations. However, the implementation of robotics solutions in this particular sector is hampered by harsh operating conditions and by particular features of many procedures, which require a combination of force and sensitivity. Human–robot cooperation is a viable solution to overcome existing barriers, by synergistically combining human and robot abilities in the sense of a human-centered Industry 5.0. In this sense, robotics solution should be designed in a way to integrate and meet the end-users’ demands in a common development process for successfully implementation and widely acceptance. The paper presents the outcomes of the field evaluation of a robotic workstation, which was designed for a complex maintenance operation that is daily performed in the steel shop. The system derives from a co-creation process, where workers were involved since the beginning in the design process, according to the paradigm of social innovation combining technological and social development. Therefore, the evaluation aimed at assessing both system reliability and end-users’ satisfaction. The results show that the human-centered robotic workstations are successful in reducing cumbersome operations and improving workers’ health and safety conditions, and that this fact is clearly perceived by system users and developers.


Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6674
Author(s):  
Sebastian Hoffmann ◽  
Fabian Adelt ◽  
Johannes Weyer

This paper presents an agent-based model (ABM) for residential end-users, which is part of a larger, interdisciplinary co-simulation framework that helps to investigate the performance of future power distribution grids (i.e., smart grid scenarios). Different modes of governance (strong, soft and self-organization) as well as end-users’ heterogeneous behavior represent key influential factors. Feedback was implemented as a measure to foster grid-beneficial behavior, which encompasses a range of monetary and non-monetary incentives (e.g., via social comparison). The model of frame selection (MFS) serves as theoretical background for modelling end-users’ decision-making. Additionally, we conducted an online survey to ground the end-user sub-model on empirical data. Despite these empirical and theoretical foundations, the model presented should be viewed as a conceptual framework, which requires further data collection. Using an example scenario, representing a lowly populated residential area (167 households) with a high share of photovoltaic systems (30%), different modes of governance were compared with regard to their suitability for improving system stability (measured in cumulated load). Both soft and strong control were able to decrease overall fluctuations as well as the mean cumulated load (by approx. 10%, based on weekly observation). However, we argue that soft control could be sufficient and more societally desirable.


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