ReflectPal: Exploring Self-Reflection on Collaborative Activities Using Voice Assistants

Papachristos, Eleftherios; Meldgaard, Dorte P.; Thomsen, Iben R.; Skov, Mikael B.

doi:10.1007/978-3-030-85610-6_12

Cited by 5 publications

(6 citation statements)

References 43 publications

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“…As moralists, IPAs guide moral behaviour to promote a healthier work environment, emphasising kindness, care, and respect. Our findings corroborate previous studies which found that IPAs promote humanistic goals by framing activities in ways that consider workers' behavioural impact on coworkers and offering insights for personal improvement and consideration of others (Cranefield et al, 2022;Papachristos et al, 2021). Such guidance can potentially improve interpersonal relationships and team dynamics.…”

Section: Implications Of Ipas As Moralistssupporting

confidence: 89%

“…However, they found that the IPA was limited in understanding different accents, human communication ambiguity, handling multiple conversations and/or completing tasks simultaneously. Papachristos et al (2021) investigated ReflectPal, a Google-based IPA that aims to assist workers in reflecting on their collaboration behaviours. They found that workers experience a more profound and meaningful reflection experience when provided with structured reflection practices.…”

Section: Reflecting On Collaborationmentioning

confidence: 99%

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Human-Ai Interaction in Regulating Productivity and Wellbeing

Ekandjo

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<p><strong>Knowledge workers are essential for sustainable organisational performance. However, knowledge workers face many challenges due to the increased demands of a globalised economy and rapid technological advancements. Moreover, research suggests that knowledge workers lack self-discipline and often engage in unproductive work habits, consequently impacting their productivity and wellbeing. Enterprise intelligent personal assistants (IPAs) are being promoted as having the potential to boost knowledge workers' productivity and wellbeing by regulating work behaviours. However, research on the role of IPAs in managing personal productivity and wellbeing remains underexplored within information systems (IS) research. Current studies are primarily confined to human-computer interaction (HCI) literature and predominantly centred on the IPAs' design and usability evaluation, neglecting to investigate their real-world impact and lived experiences. This thesis addresses this shortcoming by focusing on the underexplored aspect of human-AI coregulation of daily work-life practices. The study is based on a single unique case study of knowledge workers interacting with Microsoft Viva Insights (MVI), an enterprise IPA for productivity and wellbeing. The data for this study include twenty-six semi-structured interviews, four self-reflection journals, over sixty screenshots of interactions with MVI, twenty-two product videos and twenty-three webpages and documents on MVI. Using the concepts of coregulation and framing theory, this study explores both the role of enterprise IPAs and the nature of human-AI interaction in regulating daily work-life practices. I explain how the IPA, as a coregulator, used rationalisation, moralisation and normalisation strategies to participate in the regulation of work-life practices. In addition, I present a frame interaction model of coregulatory human-AI interaction to show and explain that for human-AI coregulation of work to be successful, there is a need for frame alignment between humans' cognitive frames and the frames embedded in IPAs. The significance of this study is that it adopts a novel approach by combining two bodies of framing literature and extending the application of the framing theory to explain the nature of human-AI interaction in the context of agentic IS designed for behaviour regulation and modification in work settings. As far as I am aware, this study is the first to merge two bodies of framing literature to conceptualise human-AI interaction as a form of frame interaction within the IS field. The study offers valuable empirical insights for IS researchers, AI designers and organisations interested in effectively integrating AI technologies in the workplace.</strong></p>

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Section: Implications Of Ipas As Moralistssupporting

confidence: 89%

Section: Reflecting On Collaborationmentioning

confidence: 99%

Human-Ai Interaction in Regulating Productivity and Wellbeing

Ekandjo

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“…Based on the responses of the participants, we determined that a technical issue might lead to a decrease in motivation to use the application as technical issues may cause a user to become frustrated and lose patience even when resolved quickly. There are various studies in which the use of voice assistant applications reported high levels of user satisfaction, but low levels of intention to continue engaging with the technology [41,45]. With this in mind, we should consider some improvements to the VA to motivate users to continue using the application.…”

Section: Motivationmentioning

confidence: 99%

“…There are several other ways to practice mindfulness, including videos, books, and mobile applications and a variety of technologies have been developed to support mindfulness, such as virtual reality (VR) systems [24,28,32,33,43,47], mobile applications [12,21,23], or tangibles [5,59]. Recently, voice assistants have been gaining popularity and acceptance, taking up roles in our lives helping in various contexts, such as support social interactions for older adults [44], promote the development of self-regulated learning [49], facilitate self-reflection on collaborative activities [41], persuade people to exercise [40], and controlling entertainment consumption [10]. Nevertheless, limited research has been conducted in the past concerning the use of voice assistants in mindfulness practices.…”

Section: Introductionmentioning

confidence: 99%

Facilitating Mindful Eating with a Voice Assistant

Min-rui

Papachristos

Merritt

2023

Proceedings of the 5th International Conference on Conversational User Interfaces

Self Cite

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In our busy lives, meals are being squeezed into shorter times, or fit into multitasking routines of watching videos and scrolling through social media. This can lead to eating quickly without considering the food choices and overeating. Mindful eating has been promoted as an effective method to combat mindless eating with various tools available to facilitate mindfulness practices. However, the use of voice assistants to facilitate mindful eating is rather limited. We developed a voice assistant to facilitate mindful eating activities and conducted a field study with four participants over six days. We examined how the social role of the voice assistant, acting as a friend or a counselor, affects mindful eating experiences. The results suggest that voice assistants can assist users in mindful eating, however, participants preferred the friend version of the voice assistant. Implications for the design of voice assistants for mindfulness activities are provided. CCS CONCEPTS• Human-centered computing → Personal digital assistants.

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“…On the other hand, more experienced workers may fnd that individual refection yields better results for them [37]. In the past few years, researchers have explored using conversational agents to support refection and workplace learning [13,22,34,41]. For example, Kocielnik et al [22] developed a multimodal (text and voice) conversational agent for workplace refection.…”

Section: Introductionmentioning

confidence: 99%

Tacit Knowledge Elicitation for Shop-floor Workers with an Intelligent Assistant

Freire

Wang

Ruiz-Arenas

et al. 2023

Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

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Many industries face the challenge of capturing workers' knowledge to share it, particularly tacit knowledge. The operation of complex systems such as a manufacturing line is knowledge-intensive. Considering this knowledge's breadth and dynamic nature, existing knowledge-sharing solutions are inefcient and resource intensive. Conversational user interfaces are an efcient way to convey information that mimics how humans share knowledge; however, we know little about how to design them specifcally for knowledge sharing, especially regarding tacit knowledge. In this work, we present an intelligent assistant that we have developed to support the elicitation of tacit knowledge from workers through systematic refection. The system can interact with workers by voice or text and generate visualizations of shop foor data to support refective prompts. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI; Interactive systems and tools; Natural language interfaces.

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ReflectPal: Exploring Self-Reflection on Collaborative Activities Using Voice Assistants

Cited by 5 publications

References 43 publications

Human-Ai Interaction in Regulating Productivity and Wellbeing

Human-Ai Interaction in Regulating Productivity and Wellbeing

Facilitating Mindful Eating with a Voice Assistant

Tacit Knowledge Elicitation for Shop-floor Workers with an Intelligent Assistant

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