Co-designing a smartphone app for and with farmers: Empathising with end-users’ values and needs

Kenny, Ursula; Regan, Áine

doi:10.1016/j.jrurstud.2020.12.009

Cited by 46 publications

(33 citation statements)

References 66 publications

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“…As can be seen from the above chapter summaries and synthesis, the findings of this thesis contribute new insights about the use of participatory approaches, digital capacity, inclusivity, and potential impact of digitalization on complex agricultural and that participatory approaches may support with this (Kenny & Regan, 2021;Ortiz-Crespo et al, 2020;Steinke et al, 2020). As chapters 4 and 5 show, how digital interventions and services are designed may have a positive influence (e.g.…”

Section: The Research Findings In a Broader Perspective: Contributions Of The Thesis To The Scientific Debate On Digital Agriculturementioning

confidence: 76%

“…This more critical perspective on inclusion in participatory design processes differs from the common prescriptive view in digital development to date (e.g. by Kenny & Regan, 2021;Ortiz-Crespo et al, 2020;Steinke et al, 2020), since it questions the contribution of participatory approaches to making innovation processes inclusive, responsive to input from users (and hence more democratic), and reducing design-reality-gaps. For example, my research findings suggest that capacity imbalances between stakeholders (e.g.…”

Section: A More Nuanced View On Inclusion and Exclusionmentioning

confidence: 93%

“…In line with this, specific participatory design approaches arose 10 that present an alternative that is more social, bottom-up, iterative, and considerate of the users and use context (Holeman & Kane, 2020) (see also Figure 2). These approaches attempt to cooperate with and learn from potential technology or service users with the goal to develop products that match user practices, needs, and preferences (Steen, 2011) and have become increasingly popular and praised in the field of digital agriculture (Kenny & Regan, 2021;Ortiz-Crespo et al, 2020;Steinke et al, 2020) and a variety of manuals and toolkits for implementing Human Centred Design approaches in a development or agriculture context are available (e.g. Frogdesign, 2012;GSMA & Frogdesign, n.d.;IDEO.org, 2015;University, 2018).…”

Section: From Technocracy To User Centred Thinking and Participatory Approachesmentioning

confidence: 99%

“…Starting point is the observation that participatory design approaches (alternatively referred to as Human-Centred-Design (HCD), co-creation, co-design, responsible design), are increasingly cited as a preferred approach to design 'digital technology for good' and somehow presented as a silver bullet (Kenny & Regan, 2021;Steinke et al, 2020). This comes with big expectations (e.g.…”

Section: Limitations To Participationmentioning

confidence: 99%

“…To counteract negative consequences and attend to digital rights, aspects of power, ethics, and justice should be considered early-on in technology development, and together with stakeholders (Bronson, 2019;Eastwood et al, 2017;Klerkx & Rose, 2020; Good intentions in complex realities Rose, Wheeler, Winter, Lobley, & Chivers, 2021). Human-Centred Design (HCD) approaches like participatory design and co-design (Steen, 2011) respond to the desire to design digital agriculture technologies (in LICs) for the user (Krell et al, 2020) and together with stakeholders (Agyekumhene et al, 2020;Kenny & Regan, 2021;Steinke et al, 2020). Anticipated product users may get the role of 'expert of his/her experience' and participate extensively in the design process (Sanders & Stappers, 2008).…”

Section: Introductionmentioning

confidence: 99%

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More than what meets the eye : factors and processes that shape the design and use of digital agricultural advisory and decision support in Africa

McCampell¹

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Su um mm ma ar ry y ( (E En ng gl li is sh h) )Over the past few decades, digitalization has undeniably been transformative and disruptive and digital innovations became an integral part of people's day-to-day life. The years 2020 and 2021, in which the world came to a temporary standstill due to the SARS-CoV-2 or COVID19 pandemic, undoubtedly showed the power of digital technologies: Globally, and almost overnight did work, education, and private lives shift from being place-based and face-to-face to being cloud-based and remote. In a predigitalized era, this would have been unthinkable.The global availability of (low-cost) digital technologies and services, and subsequently emerging processes of digitization and digitalization, have made digital innovation a key goal and investment theme in many sectors, including in agriculture, both in the Global North and Global South. For the Global South context specifically, there is keen hope that longstanding, complex problems can be addressed with the aid of digital technologies. In the context of African agriculture, digital technologies and services are deployed with the goal to improve food and nutrition security, healthier diets, rural income and livelihoods, mitigating climate change, building resilience, and access to information for everyone.Although digital agriculture can currently be considered a hype and the number of (scientific) publications appearing on a daily basis is skyrocketing, we still know very little about the processes through which digital agriculture services are designed and the complex and uncertain circumstances wherein design decisions are made. We also have limited understanding about the role that design plays in determining the societal consequences of digitalization and who is, ultimately, affected and in what way (positive or negative).This dissertation aims to contribute to these research gaps by developing understanding about factors and processes that determine the design and use of digital innovation that are created to address complex agricultural problems. Through this research the question 'What factors and processes shape the design and use of digital advisory and decision support services that are developed for addressing complex agricultural problems in Africa?' was answered. The specific focus was thereby on digital agriculture advisory and decision support. The geographic focus is on Africa, with two case studies from Rwanda (the case of Banana Xanthomonas Wilt as a complex Summary XI agricultural problem for which a solution is sought, and the case of ICT4BXW as a case of a digital agriculture project that developed an agricultural advisory and decision support service).The dissertation includes eight chapters of which six are based on empirical research:Chapter 1 is a general introduction that presents the topic of research, the scientific state-of-the-art, and the research design.Chapter 2 is a problem diagnostics chapter that uses a systems analysis approach to assess the complex problem of Banana Xanthomonas Wilt (BXW...

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Section: The Research Findings In a Broader Perspective: Contributions Of The Thesis To The Scientific Debate On Digital Agriculturementioning

confidence: 76%

Section: A More Nuanced View On Inclusion and Exclusionmentioning

confidence: 93%

Section: From Technocracy To User Centred Thinking and Participatory Approachesmentioning

confidence: 99%

Section: Limitations To Participationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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More than what meets the eye : factors and processes that shape the design and use of digital agricultural advisory and decision support in Africa

McCampell¹

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Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring

Jiang

Angarita

Cormier

et al. 2022

Pattern Recognition and Artificial Intelligence

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Data mining in social media has been widely applied in different domains for monitoring and measuring social phenomena, such as opinion analysis towards popular events, sentiment analysis of a population, detecting early side effects of drugs, and earthquake detection. Social media attracts people to share information in open environments. Facing the newly forming technical lock-ins and the loss of local knowledge in agriculture in the era of digital transformation, the urge to reestablish a farmer-centric precision agriculture is urgent. The question is whether social media like Twitter can help farmers to share their observations towards the constitution of agricultural knowledge and monitoring tools. In this work, we develop several scenarios to collect tweets, then we applied different natural language processing techniques to measure their informativeness as a source for phytosanitary monitoring.

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Informativeness in Twitter Textual Contents for Farmer-Centric Pest Monitoring

Jiang,

Angarita,

Cormier

et al. 2023

Applied Innovation and Technology Management

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Co-designing a smartphone app for and with farmers: Empathising with end-users’ values and needs

Cited by 46 publications

References 66 publications

More than what meets the eye : factors and processes that shape the design and use of digital agricultural advisory and decision support in Africa

More than what meets the eye : factors and processes that shape the design and use of digital agricultural advisory and decision support in Africa

Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring

Informativeness in Twitter Textual Contents for Farmer-Centric Pest Monitoring

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