Founders' flow: A qualitative study on the role of flow experience in early start-up stages.

Flow experience is a state of complete absorption while performing an optimally challenging and enjoyable task. It is often experienced at work-both in the form of individual and team flow-and can have a positive effect on performance and well-being. However, start-up founders' work situation differs from that in established companies, facing not only great autonomy but also new challenges, uncertainty, and risks. It can be assumed that flow also provides benefits in start-ups, however, this has not yet been examined in depth and the factors that may operate differently in start-ups in comparison to other work contexts have not yet been explored in detail. Using a qualitative research approach, 21 founders from different industries were interviewed. Enhancing and inhibiting factors of flow and team flow as well as consequences for the founders and the start-up in general were examined and structured with the help of a qualitative content analysis. A variety of contexts was identified in which founders experienced flow and team flow. Various factors on the individual, task-related and organizational sphere were found to be perceived as promoting or hindering flow and team flow, e.g. well-being, autonomy or the environment. The findings regarding the consequences of flow and team flow show that these mainly are very desirable states for founders, e.g. leading to better results, progress or team processes. Only few negative consequences were identified, e.g. perfectionism. Thus, it is helpful to foster flow in the start-up context. Possible approaches derived from the participants' statements to this could be, for example, to design flow-promoting environments or participation in specific workshops.

Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data.

BACKGROUND: Flow experience is a specific positive and affective state that occurs when humans are completely absorbed in an activity and forget everything else. This state can lead to high performance, well-being, and productivity at work. Few studies have been conducted to determine the human flow experience using physiological wearable sensor devices. Other studies rely on self-reported data. METHODS: In this article, we use physiological data collected from 25 subjects with multimodal sensing devices, in particular the Empatica E4 wristband, the Emotiv Epoc X electroencephalography (EEG) headset, and the Biosignalplux RespiBAN - in arithmetic and reading tasks to automatically discriminate between flow and non-flow states using feature engineering and deep feature learning approaches. The most meaningful wearable device for flow detection is determined by comparing the performances of each device. We also investigate the connection between emotions and flow by testing transfer learning techniques involving an emotion recognition-related task on the source domain. RESULTS: The EEG sensor modalities yielded the best performances with an accuracy of 64.97%, and a macro Averaged F1 (AF1) score of 64.95%. An accuracy of 73.63% and an AF1 score of 72.70% were obtained after fusing all sensor modalities from all devices. Additionally, our proposed transfer learning approach using emotional arousal classification on the DEAP dataset led to an increase in performances with an accuracy of 75.10% and an AF1 score of 74.92%. CONCLUSION: The results of this study suggest that effective discrimination between flow and non-flow states is possible with multimodal sensor data. The success of transfer learning using the DEAP emotion dataset as a source domain indicates that emotions and flow are connected, and emotion recognition can be used as a latent task to enhance the performance of flow recognition.

User experience reevaluation and diffusion of technology in the context of compulsory usage illustrated by the example of telepsychotherapy-a literature review.

Objective: Models explaining technology acceptance fail to recognize the influence temporary, compulsory usage, meaning forced usage due to external factors, may have on user evaluation and continued diffusion. However, in context of the Covid-19 pandemic, a highly infectious respiratory disease, the significance of this factor is evident. Triggered by legal contact restrictions and extended reimbursement capacities, usage of telepsychotherapy increased drastically, thereby influencing therapists' attitude and increasing the technology's maturity. In this comprehensive literature review, we aim to outline the current state of research toward telepsychotherapy adoption and identify potential influences of the compulsory usage on the reevaluation of technology as well as barriers inhibiting and factors promoting future use. Methods: The review was conducted on the five databases ScienceDirect, Web of Science, PubMed, PubPsych, and IEEE up to April 2022. Results: Out of 685 identified references, a final selection was made of 22 papers, discussing experiences with telepsychotherapy in the context of the Covid-19 pandemic. Satisfaction and intention to use are universally high, further increasing with time and use experience, while perceived challenges decrease. Barriers include mostly contextual factors, such as technical issues, reimbursement issues, strict regulations, insufficient infrastructure, and lack of organizational support, but also concerns regarding efficacy. Promoting factors are training, guidelines, and organizational support. Conclusions: Telepsychohtherapy has become an integral part of psychotherapeutic care. A hybrid system in close coordination between provider and patient may prevail, addressing individual needs of both parties to achieve optimal care and provider well-being. This requires transparent regulations, guidelines, and standards.