Application scenario

 

Scenario 1 (LACE – United Kingdom): Enabling independent living

Susan is a lively independent woman, who has always been proud of her self-sufficiency. Susan is 78 and has spent most of her life travelling around the world. However, in the last period she has been suffering MCI, a condition worsened by a minor visual impairment, which sometime prevents her from going out as she used to. Today Susan has been doing some spring cleaning in her house, but this seems to have been a little too demanding than usual. By regularly monitoring her physiological parameters and motion activities, ENRICHME detects that Susan is disoriented and in an apparent state of confusion. She took the (RFID-tagged) mop from the closet and replaced it there several times, which is unusual. It therefore decides to intervene, exploiting advanced Human-Robot Interaction techniques, to calm her down. The robot recommends her to take some rest, and accompanies the old woman, who still feels a little lost, to her bedroom, paying attention she does not trip over some cleaning tools left on the floor. At the same time, ENRICHME alerts her doctor, flagging also the most recent monitoring data for later analysis.

 

Scenario 2 (AKTIOS – Greece): Enabling social inclusion

Yannis is a 73 years old widower with MCI, who would benefit from regular mental exercises and constant social engagements. Today Yannis is in a low mood, a state that is promptly detected by the ENRICHME system. An automatic warning call is therefore generated by the latter to Maria, one of Yannis’ closest friends, asking her to make a Skype’s call to the old man. Maria agrees. The robot reaches the room where Yannis has been laying on the couch for long time, and tells him about the incoming call. Through a Skype message, ENRICHME had suggested Maria to play an on-line Scrabble game with Yannis. From previous experience, this seems a good way to improve Yannis’ morale. He accepts Maria’s call and her invite to play Scrabble indeed. Together, they decide to invite also Georgia, another common friend. ENRICHME calls her on the mobile and, luckily, she is just down the hall and happy to join in a few minutes. Once Georgia arrives in Yannis’ flat, the game starts. The robot, by distinguishing the two persons, can immediately detect an improvement in Yannis’ mood. It also helps him a little, by providing (sometime wrong) hints to play the game and, at the same time, to discretely stimulate his mental activities.

 

Scenario 3 (PUMS – Poland): Enabling complementary care

Agnieszka is an 82 years old woman who lives with her husband Ulryk, 84, both with a minor hearing impairment. In addition, Agnieszka has been recently assessed having MCI and assigned a caregiver, Ewa, who pays regular visits to assess the conditions of the old woman. Today, however, Ewa cannot go their house as usual because she got a bad cold, and her colleagues are all out for visiting other people. Unfortunately, understaffing is a recurrent problem of professional care providers. Ewa therefore tries to call Agnieszka on the phone, unsuccessfully: it seems the couple took off their hearing amplifiers (they often do when at home) and did not hear the phone ringing. A little worried, Ewa decides then to connect remotely to the ENRICHME system of the couple’s house, using her own internet connection, and requests the robot to advise Agnieszka of the incoming call. The robot executes such request, querying the Ambient Intelligence for the most recent position of the elderly persons, and then moving from its docking station to navigate autonomously towards the most likely room: the kitchen. It finds both of them there indeed, reading some magazines and not paying much attention to anything else. The robot gently approaches Agnieszka and tells her about the incoming call. The old woman, finally, calls back her caregiver to reassure everything is fine, and wishes her a prompt recovery from her cold.