Main hypothesis. Hypothesis 1: "User effect" "The most acceptable (useful + easy to use) HR sensor is dependant of the people features". More precisely, we suggest that different features have a significant effect on device acceptability as: - The people category - The health - The amount of PA - The type of PA More explanations about the features that might have an effect on device acceptability will allow us to advise future PRECIOUS users to use a certain device. Hypothesis 2: "Task effect" "The most acceptable HR sensor is not the same depending on the task we measure". More precisely, we supposed that the appropriate device is not the same for: - Sleeping - Practising PA - Measuring stress at work The details about which sensor is the most acceptable for which activity could allow us to help future PRECIOUS users to choose the sensors depending on the task they want to monitor. Hypothesis 3: "Device effect on reliability" "Electrodes (Firstbeat: FB) data are perceived as more reliable than chest belt (SUUNTO: SU) and watch (PULSE ON: PU) data, and chest belt (SU) data is perceived as more reliable than watch (PU) data”. This hypothesis will be answered with the following question from the questionnaire: Generally speaking, data from the [concerned sensor] seems RELIABLE The data I gathered with the [concerned sensor] seems RELIABLE to manage my PHYSICAL ACTIVITY / STRESS AT WORK / SLEEPING Hypothesis 4: "Device effect on ease of use" "Watch (PU) device is perceived as easier to use than chest belt (SU) and electrode (FB) devices, and chest belt (SU) data is perceived as easier to use than electrodes (FB) device”. This hypothesis will be answered with the following question from the questionnaire: The [concerned sensor] is easy to install Most of the time I forgot that I am wearing the [concerned sensor] Does the [concerned sensor] add obligations in the daily life? * Do you use the [concerned sensor] in PHYSICAL ACTIVITY / STRESS AT WORK / SLEEPING? * Does the [concerned sensor] embarrass you PHYSICAL ACTIVITY / STRESS AT WORK / SLEEPING? * Is the [concerned sensor] INCOMPATIBLE with some of your daily tasks? * Hypothesis 5: "Acceptability effect on intention to use" “Users plan to use more the most acceptable device (e.g. the best compromise between usefulness (reliability + utility) and ease of use)”. This hypothesis will be answered with the following question from the questionnaire: Do you think you would use the [concerned device] for PHYSICAL ACTIVITY / STRESS A...
Main hypothesis. Hypothesis 1 “Users are concerned that the weight play a role on their health”. More precisely, we want to verify that users are “aware” about the potential effect of obesity on their health. Hypothesis 2 “Users want to keep data about their weight”. We would like to verify if users are interested to keep an eye on the history of their data recordings (Years/Months/Days). Indeed, data visualization with charts might be a good way to analyze the weight progression. Hypothesis 3 “Users want to see their weight on the balance”. We would like to verify if users want to see their weight directly on the body weight scale or only on dashboard or both. Hypothesis 4 “Users want to receive feedback”. We would like to verify if a notification system about the quality of the home environment is something important for the user. Contrary to a system where users only consult a dashboard. This hypothesis will also have question in case user answer yes in order to verify: - Open paragraph to gather ideas related to interesting feedback, - Users want to receive feedback on a specific interface or device (e.g. TV, smartphone, etc.), - Users want to have notification related to rules established thanks to body weight objectives, - Users want to have control (stop or not the notification system) and/or define the rules related to the feedbacks delivered by the system. Hypothesis 5 “Users are interested by connected devices”. We want to verify the user interest for connected devices vs. classic data measurement. Hypothesis 6 “Users think that the system could help them to change their daily habits”. We would like to verify if users are interested by the system to improve the quality of their home environment and reduce risk factors. Hypothesis 7 “Users want to have a transparent connected body weight scale”. We would like to verify if users are concerned by the connected aspects of the solution: integrated to home automation network, store related data to be consulted later, etc. Hypothesis 8 “Users want to keep data private”. We would like to verify if users are concerned by data privacy, if user would like to manage the status of their own data: confidential, shareable, on internet, other. Hypothesis, questionnaires and user requirements relations In the deliverable 2.1, 16 user requirements have been identified and prioritized. In the Table 7, we propose to link hypothesis, user requirements and specific questions. Hypothesis User requirements Questions H1 UR1 1,2 H2 - 9,10...
