Nova ferramenta avalia o quanto bem as pessoas interpretam as emoções das criana§as
A técnica facilitara¡ a pesquisa sobre a compreensão das emoçoes das criana§as - e destaca o fato de que os adultos muitas vezes se enganam ao avaliar as emoçoes das criana§as.
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5iHldLfGJ4hh7MOJ+3yMJzfI89Sf1tw+a/zkRERhmbc6w506rph9Y/L4lri1PxCG7uZIcIWuHDXNqdcCJz4nVqT+qvg+G/Y+0iIjDMtTmnraeV23cGoeNQbl3CWJwcTjpctp2Zu5usx4x2x7mQTta5ktc464H8pb9JnC5PU+0iIjDNon23ftu1uFuVd3D1GuozR/IrXE5gtSTaktTNQZpP8Zg+Y6nxZnGsCHpM+0wRGGZ/Lt4AGPzqLI+ZbeNQktSTMklrDUlqSEMDqYfyPm6nTGpMateQCHpPuMEZZT5XW6ThaqfLc7YM5RxwNY5RySYZlwt3LblM8SSQc4YfyOa2F0tWrVq1ateJHpfYYIiIw3W7I6wYbY64YTlP+5Z8t5S1GJcLLDg3MG3ht+Rnv+PvP+dfYZIjLdMfzBh1GDDASFp4ATganm1JPCY7W9tq2t7a5tzlmf4ju4J84W357t27fpfeREYZ8XJYM5vmByN5Jm62suNZHIGOJ4hyf43LmOGG7du3bt27dv1j4HsI8OmPbwLBrihfkYg4Dk43Mud27cyTEkkkw/wAnaGmDi1akm3b9574HsIy3RiPgU4LY6L8e23+C3dkPxluZ5Ms28OH/ADGntH6ufVuZkkkn+Za6uLBjgCZZfa+B6jBGW633DF9uM63JxIkMP+2tzbWTg3yXN0nKc6rY/wCWp0ZXthwX/JP+wHCYZhP8jtFwYtfGgpaxr1M5PUZPEO56nH2PCKltdiSgPkyCmpVbZQnQhveDmM9eJ8nPwSiho+ROo1q0zA6lY/Uv3DM4v8fRbzltfKp6exnJ7SM9MHTInAhe4/ErsuGOY/CM/wC2ynF5cbwh4A2XF1cRIemr7thvQm0Wm4ncvkM4SEP4THRgHBjH+EOzOT+HrE6ZGzcCFvU45ymjov8AJG8kPHlulvxRLz0/qZZ29zHbJgZ1JGScntLo8Q6kk8SAetnJ6zJhxMJjcbTC6ZXBzZULpOeTA7kck7SJJLVrxYQnr3mOi6rr4JMkYYDPqZye0jD4xjsWoYWZjIQx0bklgw14pJateZnPz2GO1zN18GZhGEIep8D2GDwcI4bq8YbW88ImfEuZcDEp8UmZPMcnXu7Q4eUzgYQ9d8D+J3wz1dd1T4hMBF0lPmfIfFJJmcs4N8vnvjwI6PFnA4H12cn8Li4Z6Z8cMwQZIJ8XdPIZYHmzOWZn+EbFwY8mcxh6jOTzC3ri7HxPBuk5Wg2gzqDC4c8cFyXLwPA8mZyzgzl9x2LSfNn3YfA8ju0oLefgRlnBx2tSeKyh5j2umJZN25Ynk4ZmZyN9vs9+wyo0J8WZ9yXwPP6MHTHgZZxc647JxuXI/A1je7tgJwOA8mZmcM4ODv3GEOjzZ9y3wPNadz2YH4HpNQ2uZmWUu7RX9ubww2wmpanpn5szOTg4J9o22tjzZ9y2cno4sB4h6HBwNxzh8DXrM+oX8cihfq34OBwUeTPicH+DTFrPQzPtp8D0Lkk5i193wyeRnBcZcxkYOYQkfhcUEiriadRx5na1DzM5Zn+EWze4B6GZ9pPgekFE5ufcmmWzB5HicEuS1s4MMBkWgu0MHNq1agg8nDOGZ/gFx1qI9DM+0nwPToghPnUCx+E/lD/JP5ImE3OeHArxbNpkwMdLf/yfMFfNuG3HcZfFnDOD7y37WoW/Sz7bfA9S/wCpieGBz81/lH4Wl1fgRIdcmKdOVyFwLhwMndKu53NNwKdyOAwxhnwZmZwfeWjf7xfsCBawPFn2y+B6nrOPzBh3AlqZDf5XC39p8PCfLSGWXBoNXaNvsdtq1atZKMvkzP8ACM8G0FFLf6wP2Bt/wJfA89XQF8u5eS4867jGzT5ab9PDV1cp2hmjjOGHTamz45AQaFq1fsIblGjiT6X08NYG3hw4cuC+8jyCJSQ+3+8DCfbV9qvgZE/L5k3u/eB8viRPkELr7f4pC4L43Dg3XS7T1PBaHwcEgJzba4vxYt8G2FoW01OXi4hGsbnMO8GXwZmf8AijWBht27dvwA0kQG2ekJ0QPlrKfl82XtfAvmQVpaMlaCJ1RhrSftwmG2w0m9keG5XLDXhwr1B3EcBIdk5+S1nS2ILaWr9rqMuXJS+8MGrV1bhxuZveCc5BcbaFRvXMhKt50yG27sAdSDqZcXeRGED5EWvBnJrwjQwuP+OBw2gu1w4O0NlySafDVHA3ah1cEn/UuHEb0Yf3cuF6HCtnt1atQuFu+SiLcsQYCdepXBBO7rLnTjmmEsJuJdQDq/G5XUot25Zcjnb1cFunI4ltf9smIYD3e0p2n1uCOsjptkd43nvCaXdrB5rheu1awZq1g3zC4DCxzFu+ki9QvsBdZG5Mh+MkG9LSMfbeG9WkbH4Li48Yvi7be4dzUx07uI+Mt4Jyz3mOUC9LRyWrVqbYXDsyQ3aJ34ateTMvl6tY1HG1gLXicsGFwcZBvAzg7WC/W1xxFyt5f43Y14ckzCEg4f6+Ig7utoMa5ut944476eAztjzhuy5radSco2Z4Y1hY1uvPeHAWrVq1anLwmIJywhMsd4XAZBBqWXGtxNHc7+RuPMbS0gIdW8NzjpYaLgzkjYmmBaLhtjifEdzQx+3/AAIe1qMFHMebmg1gHZnS28RrdU4MOGZmZ9KtWrXg21g0YOBk2yC+Y1axrcTiUEXyW1ajdinFu+7gHUBif1gZhHm6XPM7xhkGdvjEubtPWQbVwjEcqnODjObq/aTRbbROl3wdS4MzPmsvmtvWtOQtTaihq+z4g1N23BgwTUFo5cXK31ccZ/3Ma67jEtOYhN8TgCM8OQMLpO7Ybw7LQx1zg+QwfGH2FwXKMdINx0YzBeK1vVcltOGS1atYfQ4ea0zOC3gIyMMupu8PWC4LW4m9uPC5Z3zihzvaKZB3Hi7YC3gHB0ndsd25QjPDbeV0liJwLkx1HLHU8hqkDTcjm+TaemftJfbZ9tmGfB8FhYICcM2owQZE4CZnBrU+A1Bai6y4CGjAeUCa3TdgtxDINS1YmeGJTjhPc947wp5hfS1DChM92h4wOLwng+J4m4w8NpyGyFHDvxZm3csr3GLqZwzgJham+3ycTwBMx22qTB5upX9Lv+7cS0Yjdu3bt29u4+4tuMj6R3CY4GURT4Fg7ITw3+qJziYNviWcdVzLW820hhwIjLvcfljTst27eC4+BO9wzQSzlm+zdJjOHab7gGQObpN3ncHRfncm3ueL7FuZ2jer5Nu3jeLDvwMZV1yROFbwx5B9hieRu+wwcJ0hyZdrUtjktDpgENuZgZfyfxvxSJwAgvkQ2GBZmcMonu4pI5Bh9x1kE+Tc0dGRuLU5bMONy3Nlqbdk1hB+XQeEDcWmVuHJ8i01c1u7YIcPgQ27WyM8Nt0jDgYOVhlMwBFybJO1tgw3MtvIxiyzOXDMsR4ijwNyffEHmbW3F0W+ccb5QdF0Snq8t3LxMfBu3kCIul0u8e83bL2vkxdPDp53InB8GZwzhwzh98DO90w+3XD7dsu13mO853hujD0m/szN/9oADAMBAAIAAwAAABDfyoOsFVVH0htsKdIfl3wnu1fCjQQDCQAMEMMMMBEMj2+yJrbgpMwEH13VV3GTc/dPX253gM2H5RgCQAIAEMMMMMMMCu2noAleGKsdb7y1akGA2yn78ly6mGqe0lSLChAkMEEMMMMMMEFU5Kz3nZlG/jMMr8kHH4OF3JF8xqwQ29+7apQD0kMMMMMMMMMMEa9Z31L22lJRkkEXXk3JODyp3fwlwduMnraLExiwO8MMMMMMMEEFOUJeG01YblUEEX2306pgqzjYW/vNuSv4Wx2h/wA/ujDDDDDDDBBaZiatHWiLNpBBdlxh8ylYbMY9ok2lWlBnxpxhEX6gDDDDDDDDBhRYcXs2XNdpBBth93zOJcFosUqhsYjFYxJJIEjOprqDDDDDDDBGcLfo1pqiX3BBPeSSuGLMYjHGRjit2vkF0In5NwmqUDDDDDDDDRATFq4FJl2Lx77GO2yuaJQP2aNpCs1s8QkvBfNxJ7TrDDBDDDDBrhzw7xzaKyPPeiieCSaZ02GE50X7PTddn9NEUttbHrDDpDDDDV+9CPNMrNW+KNEzWm+K6T8IV0dYlz2lHzzh7aFwlNgjDDpDDDDVH9pT7WJQKSyymyGaCyaSJYIeFc4RWddJP3WN+/8ASSXK0YQwQw16+Y3wUT+uDnuj+vx8wbvm8X8oXJgQO/q9g8bbpmdURNCSAwww16Lb597QB/vsnh7z6zmWDkiYSgdM1aqjx/v3Ugpo3gTHPAAww1+xNcdxzGAjjvos8+noqwMsmZFu1ZGyAWgrijfyi5soBdIAQ6Q16k00bU3EqPuonowzpueU8Jn+tDeoX1LlXQquYU1rrCOd0Iw6Q/bpPN+b3fqkonqly6lw9mpTpqpeU9xIWOeoviSXqljIbn1AwYQ/eLLo7Zzxifvugiv7qxwz51rguaRXMLd6chzWV6nkJEQvyQwQw9WZudYaT2a+oj++/wBcv2sZoiJ6DGlesqSwps1GXrjCRdVUMMEMNWjS9/3teEQZMMcP9cvE2dHsXwkelOi5YxQTpEEjzBfsqMEMsMFXslHDBcsHjkctoPec8RPsO8F+bO00+W5JqcDyU1hQegMMEW0U2YtOMtuxDmG6/wDNksXQ2ec7FvsIdFKNXgYXtM41Vx16KfddxheGgXcYUFIsoX1LW7ywIcoL9nzliBP/AMaqzTVfbSccUZsM1+f/APGaT+Fy2sRNCpwwmBnVZih6fvFwlk53FciJ60qpukUYKpu6ME6GOLPO/goTRuFBe58kFGheQO5MivT5H2JIgRyWZqL6oMHZ/wC3H7SA8vwYQcEbk63NNuoilGD6cQ0uMwVvq9J/Qi/FZ/vuSa89wcQzGa8kMLoTuSK95iyX19lHvN83JssgfC+u0eBW3oNZmcuOM2VYeNMoBoboK8xFeaRB8c9B+gC99eAcgcACdfejdje9/Afe+jDfB8edD+C/9giDiDhC/c//xAAeEQEAAwADAQEBAQAAAAAAAAABABARICEwMUBBYf/aAAgBAwEBPxAIEymPocj8CaRKaIFrRN4PJ/aKbK3mxeT+0bEjRCLw2bNmzeb+4RveB+EjyPxDmCH4AmcMmdUE/v5zPdsXkyJM6mQMmTJkyZR5vAUfi+KCt8sp9GXkPxFb7vkYkyZMmTJnuXkCZM4PHPUTKZMmTJnuWW2Zz6vI+TFm0QjJnE8j7ZGBXqfDubR4PU7OTcg7b5M2bBgwg5FPgWRdgM0wxFg38UizDgni3sGDFyKfAsopcmTOLHxbIRQ4lPgcljXx5MfF4EIuP8ptQ+wR+cSjidwPN4HB4kIvLY2h4HEKDzY8Dh8cjxFMzog6cCyw1h15sfBcj0bGkfAshW5NWb5Pgx+8j0JpPrJvU3NwMLkaDKZ4vuIeaCZXSP8Ak+Uz5FpRRHruZm+L45MmJjZDmoTM1O4lDjPsyMeEaMYj+TU2TOT4bNrJldTNmQoYs+z58owmzaZ0RUkCBwGDP5Ni8nyLb/xDuZOkGLt5RGMKIYdMJkYRpseod+L6fLyBFJs7TFj1NmwYTIxk2gg/sdKDFhiELsHIO+GTKWHk0uQipk0ImWoTNjCVYkOmD1H7DhsYGQP9gGbwKWLweG8Gt1mHU2GTJk/rMiUoRIlkhjmWJMIkS8ILwUIzu0URth9teoRQ67j3A1yhmx7ImMyJF3Cm2JPqLa2yzjMhBZqamtFEIuRbeBQ+xO6CZj3ZX3TPqHyHJ9z5jwJ/Ix+2cSivrgwt+w+19X//xAAeEQEAAgIDAQEBAAAAAAAAAAABABEQICEwMUBBYf/aAAgBAgEBPxC5cuLqez2PxVMHqvU7nR+G4wZd6lSvieMfmHuVMUMOK+R0Z5zhjh7iK/pMMsYx+J9BfiMEufs/YvxLndfwri5fGAy8FuXLly5faqYtbl/Ec1874l4uLLly/g/cBi9wlSpWTqXEuXgxcuX8VxZe9y5cvJ1OsGLly5feIww4IT5SHubixwXq9ZGMPYg9jyyrUJ4uBcSsnSQ9yxIm71MMMOJZOEUytFgQjbQ6SOjE+Bn5h0DZbsQ6COjBHvcuSHaOg2MeoLiJ7kw4dl+P1sYnUqYdXDoR7DuPYGAp0cufOwh0HBs9hU1Du7X1HQ7MezxceUolEcLhwR+QkrVj11FXDDEwXBhpw6Viug2MHQ71KnEslz9jyQiSp6hvKYDFy5xsa1k0uXKyxSJWLqDfsKjkIkHMXNQS8VTGJmoMuL3Vg25lZWLehKxIqMODB5J5lwEtAuJUvoMXisV1hh5xV4VBxcuXoKGDhhEtlQKlkTatR0VqEvFy4NMG5USEZcuGBLnpPHDoYAz+Y0lbBDqVgwww8S5c/DRjLgxy4JeDVwgxSVkFhIVqZI5M+4WjCIiQ4g2S9TQZdkdWDLlZolJTcIRwRyaIJZnxjzg0NfOBqe6HQwwMMPY7OX//xAAmEAEBAQADAQADAAIDAQEBAQABABEQITFBIFFhMHFAgZGhscHx/9oACAEBAAE/ENttsXS7eXUez5vnDPBeuV/jm9fhfriI9hrZdfLsLwsc7o9FiPRMd9b1/uBg/wC20cPC7gBp39jrXwkiWBH0m+364XqfeDhdIkiT/OTYPAdw7unO8cPnBS9l+BBsLLbExjXiLg94+eJM8EcPjnc+cdOD4/d6gggwiuB9k/sTpr5Dg9K//CbU/wBItfr0WJh4Rxj17dpevhdr3tkEf+47vpvWPS3u+z8vUd4/E/V953/gh1Oy0h1snRvErxbLKfs54OA4AsnVvBjGLbN6jHqEeTPJHIr54uUMpTvufY84eJZ1ge26/R9b+Q9Sdnn2AN8EtSeHlnQvnn+7ZXh7bL88LI1/1ADwfP7LWt6vBYvSyb6k638Xu+f8IskvF2HSfOPWXVs4JzlwQRD+OAMJngY9J/qW7bLLs4h1xPOHjY9jg++LnPqVspS4vseRt3D0RDX6+Tg/XyZV/S7kNf8A8lwO8js8HNnqHqeDe+yLLwHhbYPD5wO+Y9vg8DjfGfwL7/w1gls6cbrJ9y7l1bySvUEHAG/IxEb64bbxl2/E/wDGH8h0cvJEuD4ufDepS4v2fYINYPZ97b9/ouj9WzrvOo52++/ybzE96e/u6n/bJRfu9G+eRa+JPt9jvS/SPkXU+8Hn+5/5Bb4kj3LSyi7v6cP6S/t5n2G5yJA4ZjgOBDrFP4jgCyg65fwIlxXFSt6lOV6Z9j9up+Tu56zQ7vjt7mP+9D+F/Wf/AMl2X739xB/7pFgdSl9/Y3S3u2R9fy6kHd9iPvHiGP8AyCQm4RPD5I8llPeB28sPLog6jhmeJSnSMRSnGQBByzyRwJ9TnzbLufBy926/beBva6seCeeRGvlo062R3nbBS+xv+iNMdvkf6P8A+s6z4RR6BgSJvWeAsxLL1DP6b3kOpMWPBeuF+Y/4RLEtDduW7PJbezDuSzgDrnZZ8liH8xSlKUFixZ+C/iOHj8OpXyZ5K9PGNro7t9+vkz3vbOIeezvc5/8AVmKC9C7EYwfC16OB8iz/AFhLgdH6uzPkz2GPF4C9v9x9/wBw2PQ4nyJ8/DOd/wCCcfCWatklpFkkkIO+BFsssvXIxAgZB+W/gzyRHstlx8XmVvUpy64Ptt/7GE9dFn6OYT2b28iA+z6V9WeAO50XX+Bdu3ayBH3t/ti6vfrtj1/uOU92YD+X2/282er1+I8HvCf8V4LsRuxFk8GIi2WWeAu2Ryfi8bbwzMRHsTvU5dcF1b1L38Pih63bOsJE8vZ6RBZPngmH8S3/AET/AEg6JPIHRYN4x6F0P1Iufy8Jd49z6vHE9XsvCZkvc8Mdkn/ELwlzp5Ew6mBeENsssssrIOD38mWWHuGXkj2I5FdJStMllO+21/0SC+3uf/ZJ0u9Pt2Y/ftsB63h7fQ6LewDzLQfNjUXWOB/d8ox9ZJ5h2vd2np+LwyT/AIZHTdi9Q2HUEI9WTPCyyyzLvg4PxZZZYY8nnYiOC6l1KXDepZTtbHtjhCoFgb+nl2w+x9bcn8va2WXgf/ZYlJ0v5A8y7XUP7HEP7Ov1bocH3ZqF3f8AU/N4T8TyOm7GnE/8MlylsvDODPCy239J7eD82ZbeDyZmIiORdTlw+Sl3OTF84r3eiXo6LqNn627/AE6JdQc8mkMph79bvuNy7sz7ZH8l38w6hMZie/8AqF2Q78iNOM9GEaYQ/wC5kZDFndl433bvGZP/AAyeM+icefgfJk4MsuTF2Df8L5KeCPJZ5Ih6iXI5cLvhoWq/baC/USn9yytAGxytH9sXfsIw6tg0LdB+OS6h11PGX7FsWo53GcJC7pboCcf/AIljsdr9Xb15k4sNP7J05HeNkz2f6kzN4Eur/hksbBLuPONlnyZl3KW7Lf3EOT8l64PBHkzyQ9xF64LqXDer6lbufZVvRluz1lo6T+h5HkWoXtkWmfIg8sfokMiCfIA6LdniP8SYQ82yW0P3PEe/k05G/q6tl6Xy2IY/8IujdiwzeV0mZepZyl1K7ahZI/4vxepbY9vkszyRHt6jy/aUstlK3TUF1xHRtvcpU27MIXrLDkwTr5OfLxHazZv6Ls/kmCHd46gtLf2Yq+s/fAKaeloN0ZQGX2/4ZdE/cCDHRJakklSmVK/U3/WDHF+vwPx8TPB8jyfxGPIlEpQ92yui2jpH0v0J4lZnSQ9sRAHuf7jfV4mEfbxfIGsUkOpgWzNhbACw/YEp+5TZfH3kAP8AvHuXi6Gfc/4RMC7KO1rEz2v7kyJMssggfg238fE8nyPJZ5I94HBdSlw3qUu09/2RyLy9XWXWGD7W+yrbef8ATJXIB4Mv2JC67kjNmPEsRFHcwLs6Jd0dSPpkg9eXf21a3iBcZTJDdt/tul2j2k/4JPDEgl6QSTfZ8mWeSEht/wAC6meD5w/gcKIl3yFvUuJaz+2ZfXHZ1Y6kQfsg68g/kzpLB6JDJzyMwhFPOCSn32MP/UiZPFX+TfEt51fuMh3rJP7kJB8hf/7LvqGHh7vX/BJ4LQ92m7TDgf6l/svfssstt/tH9fk7b+HmfZiIep/IYYl3KUrepd2V0j+zwC63Yh7jBJ/azXbC+2IDCMH7s7efI4rDY1JDfImeWH6ksYz+2UjSHfOEj42nzJY5BXA9nD1/wSPYAS+aDE/oTGsf6mtea/1P987H4uZYeBP5EMReOBb1L+5d71Q3/S9/yfIsY4Mi7baEHWU+oHpkT26+Gzoy9Xhu89SJd+wWw99+RA5dmJbzbsMZGw/LMvP9n3/gnkeyXM2cjNy7A4OJyzE57I/c9vZj2tj8/Mz7F6vk8bbyRES6l3D3LKX/AJR7LLeB5Hthmy9za1//AGOcsER8e/uamCQjpl17f1h6vF14F3P9cLLC1uFX+XYIH+oR6JIPYsZeo2u7w/TI53kJ/wCEXl+reotD1Lv4cXpIFslGVlZW74Od53jzPkx+F53kbxHBRL1w9f8AVuok6vN4sgxknWYX2w3vUvdOO2dPoXUC+yRr3LurKdhdUMlku5e75xNTXB6xiMf3kFif9Sum9I1+7J7i82S7JIsNMbC9fif5h1/3aoLc9T8pL+p88l/U2eTZ5ObKTM4Z/g2+uDD3/gHAyiPZRbMsX+pUZVpHtnWxrNBe0rEY+LT6PJKurZkbntmdYkoYvLdRDe0cn3PfAdp+/wBWk/Du1ZDO3sdNgGH1jby1C1P1L83LfrQ/u8nf+yibyCHWws/A/wAhEs/2RLz5Y/LH6h/Uf6v4w/q/levVh8sHLLLOT86lh5s/iRERLqUz7PvKPZkndoD+3jHyQ6QZgywNsbOPstGOD923xaCdsnocwzMt9TZ5MeLAvbya9dy6kLv6JK7Uo10O/uxEVWFafJrsbakZ3xA3JbJt0Whlk2Scnc/4Tj6i6/7Yij+rdc4B+o7+d3+X8r26v4WOyZP4/LbbeFwY5vO8HBEcHyJepY6uLrCTuwH9nP4FkELtZyBKxPwZd0wsAy3ms8uBCUe3t4Du6l2ix/cdXYFoD4+w/nVmtZt0bP06j21vVrO4smHnHgQ6vnA6Zn/AX2OCxv7bF/IdSSTwNyPL+N/G7HCyZP8AC3iXBzfwOSJRDw3qXTeX/UO8ur1NhbA/1E4O+sVXLThqOrfOrIMsSYQNbuYe4Z9JCjp8j+LOjB/3MewvnIzziVszLOTvF8IcCPGZ/wABPAvq/c3GMySTgNtet0t6Xewxn3nfxeZ5/ONttt4IiGGUp8leY6fE9vV/3DiWBdXs1GDsP5IthnUBYPUjksb9XetmWW/Zd9wJMnvh3kHpMTJOGfL6v7vMx5Hq+/4SeB7PD/uWmNySyHUP1GLOP3u2yfJ/wueDiT+RERwJS9S3chpPS8eSBmX3j9xja7d4cfkO7oWbCwW3d7LYM+7wu08pwCHAmTMw/UO+LHkI/h8/Mj28L/z48E4SEY9cHS3vDtn383jzPB7yXht42HjYhhht6m7EfU+S74nC6vsr+YKxtg6svkMnC6auttlLHu2GUoeo/gnBpAzIQyeZ7eTyHQnz8Pl9ng5PYhoP7P8A61kEyTMIw3gHTeke56eNtt/wB7zfyIi+R7DEvU+XaN4t7l1d5fW0T+S9Thsf2D9XkOXfy6rC/uXZw27OBcGTj2ST9wh7CTqbxP2+uLPk+EvX4fPzPYs7/YDr8LqEkyTMIw9h7el3Qx/wP4Rz3jeCPai+t6g2HXrgh4HC3qOqPUz5fx5trfJG7MFuXf7ei+0mFlgbsbI7H4Oie5Lh53j6vKTN65OpK3ufeD5/gOSJzn27IfLM5ZnznHUemMfb3/gXi/jbeVgf1NhQHbdyrfCGGJcNl4eYXqZYIdzsn2by2+F+9lRk4FLJoMisupd+SLEUpy3sEzKXj44erxeuHWO56Dgfwev8AsV9yzWfOTM3jlPUY+x9un5b+F4L3fPwOCd+nl1vV3/3y0ONhlL1LLvh45nt356jo/t0nhndkhh4ewiHWR5m3auyjs3sO5ElG2CfV84eFlLiupTeL0y74nvA+zyT+ZfFpoPdgz7w8M8oj7D0h7D/AAPF4L3b+OyGHyyZ+2SoXZjwRKXqb7N9ch7kCc1i1N6hwys7RH6FX70qWx3Iu03R1IcLx7cLbbZZZeC5Fl1eGXc+4/IJ/Ij2yT+wt+5eJ4bZn8EIew9vu2238H8Ji9xM/jom/wCrqYd0tNiIZ8vt8mMMYd32yxPlmt2EunF9y7j2Zvo8sTt7uqL+hlPdvQQvmMIaTdNlPTOz694WWXuW98FyWZ9y6ZXbg8n8D8z2J/7W2V/kecbwkzymHsPeoew7f8V4PeHzh/AnAfuyA3f1MnGWTCPODwszxepl1MSemMB4nD31e7addsE7gbgM+yE2ft4Zn9i3akkM9pvBbWUuksv9l/HWZYS2fUufk/gefmcGFkcVvXtsw8MlrnPsPYex7/xXgvBy/iWvT4kpjP5NwQcGfOGfbbUe54KAfGMi9hwHce4NviIO5nkELoQdZ3CQ7RuD+oP1FvkEzltspeuRep9S6nLvl8/H5+LyYR+49wbkMC1ttht4YRIxch7D2Pf57x5ngvfD+eUvjEmn2xWw/teIT/FB+7pRx2qusTLJRheySR7MhdxCQ+l2bYhnDdJHpy07zpbUCtVE6InbTPuEzqfJS2szKU3uUr3wvcv4Hs+fn6CDedbZQfqAnUttsPdtszH9xh7Dph7D3/Awng/xDqPNjbeodn6gUG/bdmIc8w/iTjMLrlMQnULYLG1DqRz+32PJQ9CAE7IRvOQ5Bkhcn+L70SINum+z37PUh9ib5aS6t6vHJm7Xr8D9S2J/ynUjzfbNGKDY37J+w/2RCPKR4j2HTHph7zs222zwfwfPzyCYP0znywXqFnzw2xczIB3AYAR/ZJOwB6JkBM2ne3yPZO5DTigEemDLvuyzNdW/qBdCRG13t294qHhY8K0tyb1Mz5LPFfJ9Tj2fyPZ9/I764REn67sPG8JiPsQ7bt74MN9gPjwmwh7DI+we8538vU8F7/HLH9Qt8kMV/wCpI1BAFZsnR+i95pWK2By/ssTNjSXT2GdHU77gIYlRHFj3gmh7Y/eIeu+Qa3Ynp7n4F87gu4SUz7kOuo69xDYAf0zp68tjGzkatuxyeDMu52zwxP8AiI9ywu7PC3eDXwg53IJHpvVg52L0ksnBZPSYmjxHsfeH8/U8F4ssboBN4LLJ7f8Al54X/qzF/wDi9of+RJgiPUcmgy6N9df6sO5TT2ZdBGcfYz6XfUtwwPEmgsCyJ1wdk9TJRAdcg42/Ibdo+wyPYI3yojimV05aAMZjTM+SnCMHpB2GO3qHcnCl6meCwl68Lzv4H5ZBtrI5wiwgYPznc3+1s8bDxZPFZuaw52l4SRB7jo5w/iGuQ+rls6yUekkG+EvxTHTJod2As+U/8vECy+TGl0bZtnudfb265dT4wo3QdylZHYi7i6IjlB0lgkJVE8ITdogmiWqyH3ue3Or7CJHGV+iwZHhYjtWA2cmfIwVdSC6lvDDuyfeDLqILR5LJ/wAGcdkbYCB9mdngHqScI5isUCdq3ThH7rzNtsKV7Cn9UkS+zAB3IwvYLo/8kuCVpu3Le6QU6P8AyzekB0Fmw/Uyyx4B1J4Wh3ag/bcLF2yG/C7Gn23rZhsaKMaZ9sn37jS7GSYcPTDjpPluv7CAeM/ZbLLAyhzxCxj+xe4Qu5YGIQZbsvkdxbL1P9meC2e2yY9/wZZ/LP5EKXRI4nTbk1em3CcXTFWzibNYRkWvU6ux72HQM4WH9WHyzbrxjltiwFodQDy1mLyDYMUX29LUJ9cHg63ynt7LV0WCNvs2J9FoMn9R6jHfDG6tm8fkbbF0eXQ36srAtEJOG0HssQ8YNPJ0ZwdMnjBGMYe2J7Z11tt7bCMMOS2y9S5BLYdtsp/hyIU1wFAE+3fBkPbqg1spc4wqyEeQvsutjntfPjIWTq1Nfokvy33SZFiTo5KQ+sLE+QYZdzp7YT5Pxn6cMDyAHsFJ1IJ9T19tSVs9Ns+MI6xO5lmTIT8GwaT1IMge7V/1e08hgXa5pQtDjNceQJMSxl7yG2V+tOursnV7jySIYttttlnKI9tlydXkN5MhL1e5nvB3dEYJ9snyDWznohnrFLhNYrDGR25Zdsi6gA0kFjYW2Vk9menS7sZebfEtNn6zYHUAkhaEULbxIG2O23nbY+wn1iTpu17u5LZ0F922Xu2PDqYhRLs6PRiNPVjJx5T/APm95dwnD/pEHSEeE5bqBwTkZDDLA2Qb/WLfIv1H+rD5NTOVlbWeksurbsu3QtXmMliHVneTqKdQBgQ7h3dPkcLOPVqbYEu79EF7XhwYrLnUNLF1L+UQ7sfONVlru7sCwaLDx1L6G0n85b0l/knuRDLq9WGxYY4OQjs6v/EipIEsc2Ufb7FpdnbLXiO53bHcunA0htzqxcSgr29iAH3gmL/4LvSTfuWL/qXti86gewdAkNzrYRGfRaEBncdiZA4mHCzbyyn2B8kMmzYEzdpdsjO9x7hrDDhk9lXZCdWZE3gY7lhqy7boQPRC9tjbc1IvUP1hL1JhkIKdyi7uBb4H/UgTuL6jPe4y+wWRR3vUH7jL7f7wMCANR1ljrerRqcb+tqe39busVMbZQ6WAkJbalqJkrz6XYXZDThLH/qWrbTFJSlx7GYiLAvdkAQp7kydTrxtJfJS64+pmRs4WxkZ/Blv0T9hAE4dbJrdvd0IxQXyGHcWEe8PkJe4xLC7wLHST1ftKrhYGvtpbtskZdFssDLuejL9D5NNvt8NtWdIiKTfyjaGx3949Gd4tdWw2wW0JMYeN03feHHqM9V7jEdp+1oWyAKddxgH2Pe3bJe2bmyLLJdOQgWrfkSXYZxGVliFINnjduIAcRGUvV6k2VPAh9l+pWRySeGWX9lVwmNTqGP5hHqC6zPW2hksId8w18sQQmSK6h3UnBLduiw0+2lAF7hwm33B051YBl6lJ7L/cqV+7U599QN03J6PJ9sH28Qjj2ju2GsY5vujXv5b7KdZ6Xr22tzbUSGll27PIYLpydsLP+mXVCNZdHyAXTSHR4jfa3GfqaQGdoF3Dblr+QJZEXyCUJSUNkkngssvA4YXmsLPrqeH6x/F2khrZXhLY4cTvCcunHR2AJW92veWt7jFp1lkdRztAfz9scJ3ORt46/dqQZBez+6ujdnP7Ht7lrYe2xCFjx4vC7HF8Tot7v7XRli7fJNqdb3Kl0kCuWl3njL7rb9EMNssSrPvbSdVgGTvQvlwdGNep2blmlYk9jcp+5ZZlIyU0OgNnRF4onB1KUyMvU9FtDu79uheb2Zk7MY9eQ4ZrdJdDioxg0+RDJK7y3Hd0Dq/V2HpPa7MVf1S6cn+0f1IIXqMm9w8I73VY3Ydxu9phFi537ZOw2bw9dsR7nkv9t4t64DfRI7fy7Gw6s1YXmdb6sZ6WkBhkKxvRdOvsXU2TbkpaEvEITCQ9dWjstfZjXtesq+En0poYV2FhwLqlssvcslaMYEYO+DxKOw4cD3YEYdWhhhnJrLycgCPdnfF5de2NIavZAvRHDuHE9vl5E2NUYy3fTk2Ihd9RMey4+3X7Yfb+tu4sdmPcO7YhjD3xCl0j3dW2WXcPVvC71kF3p6ZxDxIN4WhB7MQ6mfvGdeWhPvBjbI7ggGNnBZaRvYC2dE74kRnzh/u+i+WvGCQdHAmylKZ2BNXbSSW4vF44aN5mHW8Q7hl1IMr7kdcJs2R+o6wlYdUUP9ETO4Xq4E/xJG4htxOM/uafyenG2QdGRDRbx/rd/tgyN1snl3C7QmTtrb1eW2z7uib3/wB3qPsX/Rd9ezyN2ZdlidSwYyDONiQFJ8l4G54ZIEwA1kfYKSHqM3c5mPIHnks5e5nPBZCWjl6W7AiKe7oS74nrZ9zPZZ1CHdtfF4Mv5ynhd+C1tugbZKzphFV/9jkgv4foX9+DM+RE7IB1A58/93gjh8cWz3va8cPkcGZ5PY8m83rw+MeHA/hx4+R78Keu48j2+ZP7m57eC8XhvXDffwbx9T5ep4fd5nieP+/wQ9zwPfDyvn4C8czxxfq8X/3Xl/rg2Zr/AN4+L3f/2Q==)
Crédito: Les Anderson
Pesquisadores de psicologia da Universidade Estadual da Carolina do Norte desenvolveram e validaram uma nova ferramenta para avaliar o quanto acuradas as pessoas são no reconhecimento de emoções em criana§as em idade escolar. A técnica facilitara¡ a pesquisa sobre a compreensão das emoções das criana§as - e destaca o fato de que os adultos muitas vezes se enganam ao avaliar as emoções das criana§as.
A nova ferramenta para medir a habilidade das pessoas em perceber emoções em criana§as échamada de "Tarefa Percebida", que significa Percepções das Emoções das Criana§as em Vadeos, Evolução e Tarefa Dina¢mica. A avaliação envolve adultos que revisam videoclipes de seis emoções retratadas por 72 atores infantis diferentes. A ferramenta equilibra as raças e os gêneros das criana§as dentro de cada emoção.
"Essa ferramenta nos permite identificar se temos algum preconceito relacionado a emoção", diz Amy Halberstadt, primeira autora de um artigo sobre o trabalho e professora de psicologia na NC State. "Por exemplo, mostramos em vários estudos que as pessoas tem mais probabilidade de perceber incorretamente as criana§as negras como zangadas. Mas também podemos procurar outras formas de preconceito. Por exemplo, as pessoas tem mais probabilidade de pensar que criana§as de um gaªnero são mais felizes ? Ou poderaamos olhar para variações como se algumas pessoas são mais propensas a pensar que as criana§as em geral são criaturinhas felizes ou misera¡veis. "
Os pesquisadores validaram a PerCEIVED Task em quatro estudos envolvendo 477 adultos.
A ferramenta apresenta mais criana§as e um corte transversal de criana§as com maior diversidade racial do que as avaliações anteriores. Além disso, os pesquisadores tiveram cada expressão emocional validada por especialistas no assunto.
"Resumindo, demonstramos que éa ferramenta de avaliação mais robusta que temos para determinar como as pessoas percebem as emoções nas criana§as", diz Halberstadt.
Mas, além de sua utilidade potencial para a comunidade de pesquisa , Halberstadt observa que também hámensagens para levar para casa deste trabalho para pais, professores e cuidadores.
“Cometemos erros ao avaliar as emoções das criana§asâ€, diz Halberstadt. "Portanto, precisamos perguntar a eles o que estãosentindo. Além disso, ser bom em identificar uma emoção em criana§as não significa que vocêsera¡ bom em reconhecer outras emoções."
Alison Cooke, coautora do artigo, também observa: "Raramente somos tão bons quanto pensamos que somos na identificação de emoções em criana§as . Portanto, não se precipite em presumir que vocêsabe como uma criana§a estãose sentindo pela aparaªncia em seu rosto. "
O artigo, "Percebido: Percepções das Emoções das Criana§as em Vadeos, Evolução e Tarefa Dina¢mica", foi publicado na revista Emotion .