Daniel Rough's research while affiliated with University of Dundee and other places

Publications (22)

Preprint
This work aims to connect the Automotive User Interfaces (Auto-UI) and Conversational User Interfaces (CUI) communities through discussion of their shared view of the future of automotive conversational user interfaces. The workshop aims to encourage creative consideration of optimistic and pessimistic futures, encouraging attendees to explore the...
Preprint
Full-text available
Video conferencing systems have long facilitated work-related conversations among remote teams. However, social distancing due to the COVID-19 pandemic has forced colleagues to use video conferencing platforms to additionally fulfil social needs. Social talk, or informal talk, is an important workplace practice that is used to build and maintain bo...
Article
Full-text available
Reputation systems are a popular feature of web-based platforms for ensuring that their users abide by platform rules and regulations and are incentivized to demonstrate honest, trustworthy conduct. Accrual of “reputation” in these platforms, most prominently those in the e-commerce domain, is motivated by self-interested goals such as acquiring an...
Article
Professional programmers are significantly outnumbered by end-users of software, making it problematic to predict the diverse, dynamic needs of these users in advance. An end-user development (EUD) approach, supporting the creation and modification of software independent of professional developers, is one potential solution. EUD activities are app...
Preprint
Through proliferation on smartphones and smart speakers, intelligent personal assistants (IPAs) have made speech a common interaction modality. Yet, due to linguistic coverage and varying levels of functionality, many speakers engage with IPAs using a non-native language. This may impact the mental workload and pattern of language production displa...
Preprint
Limited linguistic coverage for Intelligent Personal Assistants (IPAs) means that many interact in a non-native language. Yet we know little about how IPAs currently support or hinder these users. Through native (L1) and non-native (L2) English speakers interacting with Google Assistant on a smartphone and smart speaker, we aim to understand this m...
Chapter
End-user development (EUD) research has yielded a variety of novel environments and techniques, often accompanied by lab-based usability studies that test their effectiveness in the completion of representative real-world tasks. While lab studies play an important role in resolving frustrations and demonstrating the potential of novel tools, they a...
Conference Paper
Full-text available
The Experience Sampling Method (ESM) captures participants' thoughts and feelings in their everyday environments. Mobile and wearable technologies afford us opportunities to reach people using ESM in varying contexts. However, a lack of programming knowledge often hinders researchers in creating ESM applications. In practice, they rely on specialis...
Article
Dasher is a promising fast assistive gaze communication method. However, previous evaluations of Dasher have been inconclusive. Either the studies have been too short, involved too few participants, suffered from sampling bias, lacked a control condition, used an inappropriate language model, or a combination of the above. To rectify this, we repor...
Article
Traditional behaviour change interventions are typically delivered with a fixed set of components, providing identical content to all participants in a trial. The disregard of personal differences often leads to weak effects and inconclusive results. Tools are required that let researchers identify effective components for specific users and contex...

Citations

... Previous research shows positive effects of social interaction on remote working motivation, efficiency, and outcomes both at class and works [1,3,17,21]. Lahlou et al. [13] point out that successful interactive virtual conferencing applications must facilitate both functional information exchange and informal social interaction. ...
... There have been workshops proposing questions around how we can support worker-centered design and collective organizing [9,10,19], or how we value specifc types of work such as care work [13]. There have been events examining human-machine collaboration [6,21], changing spatialities and temporalities of work [8,11,15], and computer-supported career development [12]. The focus of these initiatives have spanned the social sciences, design, system-building, and activism. ...
... Conversational Technologies, i.e., the set of technologies that interact with users through natural language [21,23], are a promising interaction paradigm for Eco-feedback Systems. In fact, they are a widely investigated technology and are already used in many domestic environments [24,25]. Latest research proved them to be effective for persuading users to complete tasks and customizing the interaction to the specific user, for example, with chatbots delivering energy feedback [11] or suggesting sustainable mobility [6]. ...
... Several studies have shown that ASR systems produce more errors for non-native speech than for native speech [13,14,15]. This is not surprising, since ASR systems are usually trained on speech originating mostly from native speakers. ...
... Despite the need for AI and CA education, and the evident utility CAs can provide, high-utility CA development interfaces, like 'Actions on Google', which could be useful for CA education, often have steep learning curves [16]- [18]. Furthermore, current low-barrier-to-entry CA development interfaces, like 'Alexa Blueprints', generally lack many of the features high-utility interfaces include [16], [19]. ...
... Currently not all languages are supported across speech agents [25], which forces many users to use their L2 rather than their L1 to interact with speech interfaces. Recent research has investigated the challenges L2 speakers face in VA interaction [34,35,41,42]. Some of these works have focused especially on bilingual speakers with an L1 that differs greatly in phonological, lexical and syntactic systems from their L2, such as Mandarin and English [41,42]. ...
... Furthermore, researchers need to choose a platform that suits the specifc needs of their experiment. For example, standalone applications deployed on mobile devices can use device sensors and are, therefore, suitable for context-dependent ES [49]. Researchers either implement their own apps or use tools such as Jeeves, which provides a confgurable ES environment [49]. ...
... This evaluation was done using the cognitive dimensions of notations framework [21]. Likewise, Rough and Quigley [126] present the challenges of traditional usability evaluations. Almjally et al. [4] present an empirical study that compares the usage of a block-based language using Tangible User Interfaces (TUIs) and Graphical User Interfaces (GUIs). ...
... As discussed in (Corno, De Russis and Roffarello, 2019b), three visual paradigms stand out as the most relevant for EUD in IoT scenarios: guided approaches (based on Wizard-like support), block-based, and dataflow. Some studies (Rough and Quigley, 2017;Weintrop, 2019;Weintrop et al., 2018) found block-based programming suited for education and domains whose concepts can be clearly subdivided in elements and expressed as blocks. Environments based on blocks are used as an introduction to programming (Scratch, Snap), as alternative interfaces for Arduino (Ardublock, S4A -Scratch 4 Arduino, BlocklyDuino), and for developing mobile applications (MIT App Inventor). ...
... This is particularly relevant because of the development of a new system that integrates an app-based cognitive task into the ESM procedure. Previous platforms have been developed to repeatedly assess affect through ESM, provide a visual environment [55][56][57], and highlight the importance of usability testing. In the case of the new ESM system used in our studies, the results on usability showed a very high level of learnability (ie, over the 90th percentile of the SUS), which reflects the ease of use and acceptability by the participants. ...